CN105787922B - A kind of method and apparatus for realizing automatic MPR batch processing - Google Patents

A kind of method and apparatus for realizing automatic MPR batch processing Download PDF

Info

Publication number
CN105787922B
CN105787922B CN201510946881.0A CN201510946881A CN105787922B CN 105787922 B CN105787922 B CN 105787922B CN 201510946881 A CN201510946881 A CN 201510946881A CN 105787922 B CN105787922 B CN 105787922B
Authority
CN
China
Prior art keywords
batch processing
batch
history
new case
processing line
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201510946881.0A
Other languages
Chinese (zh)
Other versions
CN105787922A (en
Inventor
张志伟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Neusoft Medical Systems Co Ltd
Original Assignee
Neusoft Medical Systems Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Neusoft Medical Systems Co Ltd filed Critical Neusoft Medical Systems Co Ltd
Priority to CN201510946881.0A priority Critical patent/CN105787922B/en
Publication of CN105787922A publication Critical patent/CN105787922A/en
Application granted granted Critical
Publication of CN105787922B publication Critical patent/CN105787922B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • G06T7/0014Biomedical image inspection using an image reference approach
    • G06T7/0016Biomedical image inspection using an image reference approach involving temporal comparison
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Image Analysis (AREA)

Abstract

The application provides a kind of method and apparatus for realizing automatic MPR batch processing, wherein the described method includes: obtaining new case's scanning information, new case's original scan image;History Multiplanner reconstruction MPR batching data library is matched according to new case's scanning information, obtains target histories batch processor log, the target histories batch processor log includes: target histories batch processing position, target histories batch information;Determine that new case originates batch processing line position according to target histories batch processing position;Batch processing line position and the target histories batch information are originated according to the new case, MPR batch processing is carried out to new case's original scan image, obtains the MPR batch processing result of the new case.The method of the automatic MPR batch processing of realization provided using the disclosure can effectively improve the efficiency of MPR batch processing.

Description

A kind of method and apparatus for realizing automatic MPR batch processing
Technical field
This application involves medical image processing technology field, in particular to a kind of method for realizing automatic MPR batch processing and Device.
Background technique
In medical image post-processing technology field, MPR (Multiple Plane Reconstruction, stage construction weight Build) the batch system image needed for obtaining doctor in a large amount of original scan images that is medical personnel located such as image doctor Common post processing of image method.
In the related technology, before MPR application software carries out batch processing to original scan image, medical personnel located is needed By the user interface manual setting batch information of MPR batch processing, for example, batch processing location information, thickness, interlayer every etc. letter Breath.Then batch processing is carried out according to scan image of the above-mentioned batch information to scanned object, obtains batch processing as a result, curing Image needed for raw.Doctor can carry out medical diagnosis on disease according to above-mentioned batch processing result.
However in the related technology, medical personnel located manual operation is required to the setting of above-mentioned batch information, occupied The plenty of time of medical personnel located, cause the MPR batch processing efficiency of medical image lower, to influence the diagnosis effect of doctor Rate.
Summary of the invention
In view of this, the application provides a kind of method and apparatus for realizing automatic MPR batch processing, to improve MPR batch processing Efficiency.
Specifically, the application is achieved by the following technical solution:
On the one hand, a kind of method for realizing automatic MPR batch processing is provided, which comprises
Obtain new case's scanning information, new case's original scan image;
History Multiplanner reconstruction MPR batching data library is matched according to new case's scanning information, obtains target histories Batch processor log, the target histories batch processor log include: target histories batch processing position, target histories batch information;
Determine that new case originates batch processing line position according to target histories batch processing position;
Batch processing line position and the target histories batch information are originated according to the new case, it is former to the new case Beginning scan image carries out MPR batch processing, obtains the MPR batch processing result of the new case.
Optionally, described that history Multiplanner reconstruction MPR batching data library is matched according to new case's scanning information, it obtains Obtain target histories batch processor log, comprising:
History MPR batching data library is matched according to new case's scanning information, obtains history batch processor log set, The history MPR batching data library includes: the corresponding relationship of history scanning information Yu history batch processor log;
According to the history batch processing location information in the history batch processor log set, determine that target histories batch processing is remembered Record.
Optionally, described according to history batch processing location information in the history batch processor log set, determine that target is gone through History batch processor log, comprising:
Obtain in the history batch processor log set the corresponding squared difference of every history batch processor log and;
More each squared difference and, by the smallest squared difference and corresponding history case starting batch processing line be determined as Target originates batch processing line;
History batch processor log where the target is originated batch processing line is determined as target histories batch processor log.
Optionally, the corresponding difference of every history batch processor log is flat in the acquisition history batch processor log set Fang He, comprising:
Obtain the history case starting batch processing line position in the history batch processing location information of a history batch processor log It sets;
Batch processing line position, which is originated, according to the history case defines new case's starting batch processing line position;
The pixel value that new case originates all pixels point on batch processing line is calculated using default interpolation algorithm, obtains new case Originate the pixel value list of batch processing line;
The pixel value list that batch processing line is originated according to the new case calculates the new case and originates batch processing line and institute State history case starting batch processing line on all pixels point squared difference and.
It is optionally, described to determine that new case originates batch processing line position according to target histories batch processing position, comprising:
The position of target starting batch processing line is determined as the new case and originates batch processing line position;Alternatively,
The position that batch processing line is originated according to the target, is finely adjusted according to preset strategy, will meet prerequisite Batch processing line position is determined as the new case and originates batch processing line position.
Optionally, the target histories batch processor log further include: target histories batch processing result;
The position that batch processing line is originated according to the target, is finely adjusted according to preset strategy, will meet preset item The batch processing line position of part is determined as the new case and originates batch processing line position, comprising:
The position that batch processing line is originated according to the target carries out MPR batch processing to new case's original scan image, Obtain the first starting tomographic image of new case;
History starting tomographic image in the first starting tomographic image and the target histories batch processing result is subjected to figure As characteristic matching, the first matching characteristic quantity λ is obtained1
Using the starting batch processing line position of preset strategy fine tuning new case;
According to the starting batch processing line position after fine tuning, MPR batch processing is carried out to new case's original scan image, is obtained Obtain the second starting tomographic image of new case;
The second starting tomographic image and history starting tomographic image are subjected to Image Feature Matching, obtain the second matching Feature quantity λ2
If the second matching characteristic quantity λ2Greater than the first matching characteristic quantity λ1, along the matching characteristic quantity The direction of increase continues to finely tune the starting batch processing line position of new case, until obtaining maximum matching characteristic quantity λmax, will be last The starting batch processing line position of adjustment is determined as the starting batch processing line position of new case.
On the other hand, a kind of device for realizing automatic MPR batch processing is provided, described device includes:
New case obtains module, for obtaining new case's scanning information, new case's original scan image;
Target record matching module, for being matched at history Multiplanner reconstruction MPR batches according to new case's scanning information Database is managed, obtains target histories batch processor log, the target histories batch processor log includes: target histories batch processing position It sets, target histories batch information;
Position determination module, for determining that new case originates batch processing line position according to target histories batch processing position It sets;
MPR batch processing module, for originating batch processing line position and the target histories batch processing according to the new case Information carries out MPR batch processing to new case's original scan image, obtains the MPR batch processing result of the new case.
Optionally, the target record matching module, comprising:
Matched sub-block obtains history for matching history MPR batching data library according to new case's scanning information Batch processor log set, the history MPR batching data library include: that history scanning information is corresponding with history batch processor log Relationship;
Target record determines submodule, for being believed according to the history batch processing position in the history batch processor log set Breath, determines target histories batch processor log.
Optionally, the target record determines submodule, comprising:
Numerical value acquiring unit, it is corresponding for obtaining every history batch processor log in the history batch processor log set Squared difference and;
Comparing unit, is used for more each squared difference and originates the smallest squared difference and corresponding history case Batch processing line is determined as target starting batch processing line;
Target record determination unit is determined as the history batch processor log where the target is originated batch processing line Target histories batch processor log.
Optionally, the numerical value acquiring unit, comprising:
First position determines subelement, in the history batch processing location information for obtaining a history batch processor log History case originates batch processing line position;
Position defines subelement, defines at new case's starting batch for originating batch processing line position according to the history case Lineation position;
Interpolation subelement, for calculating the picture that new case originates all pixels point on batch processing line using default interpolation algorithm Element value obtains the pixel value list that new case originates batch processing line;
Computation subunit calculates the new case for originating the pixel value list of batch processing line according to the new case Originate batch processing line and the history case starting batch processing line on all pixels point squared difference and.
Optionally, the position determination module, comprising:
First position determines submodule, rises for the position of target starting batch processing line to be determined as the new case Beginning batch processing line position;
The second position determines submodule, for according to the target originate batch processing line position, according to it is preset strategy into The batch processing line position for meeting prerequisite is determined as the new case and originates batch processing line position by row fine tuning.
Optionally, the target histories batch processor log further include: target histories batch processing result;
The second position determines submodule, comprising:
First image acquisition unit, it is original to the new case for originating the position of batch processing line according to the target Scan image carries out MPR batch processing, obtains the first starting tomographic image of new case;
Fisrt feature matching unit, for will it is described first starting tomographic image and the target histories batch processing result in History originates tomographic image and carries out Image Feature Matching, obtains the first matching characteristic quantity λ1
Position adjustment unit, for the starting batch processing line position using preset strategy fine tuning new case;
Second image acquisition unit, it is original to the new case to sweep for according to the starting batch processing line position after fine tuning Tracing obtains the second starting tomographic image of new case as carrying out MPR batch processing;
Second feature matching unit, for the second starting tomographic image and history starting tomographic image to be carried out image Characteristic matching obtains the second matching characteristic quantity λ2
Position determination unit, in the second matching characteristic quantity λ2Greater than the first matching characteristic quantity λ1's In the case of, continue the starting batch processing line position for finely tuning new case along the direction that the matching characteristic quantity increases, until obtaining Maximum matching characteristic quantity λmax, the starting batch processing line position finally adjusted is determined as to the starting batch processing line position of new case It sets.
The technical scheme provided by this disclosed embodiment can include the following benefits:
In the method for the automatic MPR batch processing of realization that the embodiment of the present disclosure provides, first according to new case's scanning information With history MPR batching data library, all matched history batch processor logs are obtained.Then batch processing line is originated according to history to answer For after in new case with the squared difference of all pixels point on history starting batch processing line and, determine most like with new case History case.Medical personnel located carries out at the history defined when MPR batch processing starting batch above-mentioned most like history case Lineation position and history batch information, applied in the MPR batch processing of new case's original scan image, thus to new case's reality Now automatic MPR batch processing.From the above process it is found that in the whole process for carrying out MPR batch processing to new case's original scan image In, above-mentioned whole process can be realized by computer software programs, be not necessarily to medical personnel located manual definition batch processing position And batch information, reduce the manual labor of medical personnel located, improves the MPR batch processing efficiency of new case;Another party Face, the batch processing position of new case and batch information are carried out based on the history MPR batching data library by doctor's confirmation The data that objective analysis obtains, the subjective judgement for avoiding different doctors inconsistent lead to MPR batch processing to different cases Accuracy is inconsistent, improves the accuracy of the MPR batch processing to case image.
Detailed description of the invention
Fig. 1 is the schematic diagram of MPR batch processing in the related technology;
Fig. 2 is the disclosure method flow diagram shown according to an exemplary embodiment for realizing automatic MPR batch processing;
Fig. 3 is the flow chart of disclosure step 12 specific embodiment shown according to an exemplary embodiment;
Fig. 4-1 is the schematic diagram of disclosure history case MPR batch processing shown according to an exemplary embodiment;
Fig. 4-2 is the schematic diagram of disclosure history case MPR batch processing result shown according to an exemplary embodiment;
Fig. 5 is the flow chart of disclosure step 122 specific embodiment shown according to an exemplary embodiment;
Fig. 6 is that the disclosure corresponding difference of one history batch processor log of calculating shown according to an exemplary embodiment is flat Side and SkFlow chart;
Fig. 7 is the disclosure schematic diagram shown according to an exemplary embodiment that interpolation calculation is carried out to batch processing line;
Fig. 8, which is that the disclosure is shown according to an exemplary embodiment, determines that new case originates batch processing using the second way The flow chart of line position;
Fig. 9 is the signal that the best new case of disclosure determination shown according to an exemplary embodiment originates batch processing position Figure;
Figure 10 is the disclosure device block diagram shown according to an exemplary embodiment for realizing automatic MPR batch processing;
Figure 11 is the structural block diagram of disclosure target record matching module shown according to an exemplary embodiment;
Figure 12 is the structural block diagram that disclosure target record shown according to an exemplary embodiment determines submodule;
Figure 13 is the structural block diagram of disclosure value acquiring unit shown according to an exemplary embodiment;
Figure 14 is the structural block diagram that the disclosure second position shown according to an exemplary embodiment determines submodule;
Figure 15 is a kind of disclosure structure for the device for realizing automatic MPR batch processing shown according to an exemplary embodiment Figure.
Specific embodiment
It is only to be not intended to limit the invention merely for for the purpose of describing particular embodiments in terminology used in the present invention. It is also intended in the present invention and the "an" of singular used in the attached claims, " described " and "the" including majority Form, unless the context clearly indicates other meaning.It is also understood that term "and/or" used herein refers to and wraps It may be combined containing one or more associated any or all of project listed.
In current clinical medicine, doctor by means of patient's internal organs medical scan image carry out medical diagnosis on disease it can be concluded that More accurate medical diagnosis on disease result.Wherein, it assists a physician and carries out the medical image of medical diagnosis on disease, be the tool such as image doctor, doctor There is the medical personnel located of medical imaging process experience, the original exported using medical imaging post-processing technology to medical imaging equipment Beginning scan image is post-processed, doctor's image of interest of acquisition.In the process, MPR batch processing is medical personnel located Commonly used medical imaging post-processing technology.In the embodiment of the present disclosure, above-mentioned medical imaging equipment may is that CT (Computed Tomography, CT scan), PET (Positron Emission Tomography, just Electron emission computed tomography), MRI (Magnetic Resonance Imaging, magnetic resonance imaging), ultrasonic wave etc. set It is standby.
MPR batch process are as follows: by medical imaging equipment output, scanned object faultage image, be superimposed as being swept Retouch the initial three-dimensional volumetric image of object.Need to define batch information according to doctor, comprising: batch processing line position, thickness, Interlayer every etc. information.Then it is cut using initial three-dimensional volumetric image of the batch processing line defined to above-mentioned scanned object Figure, the distribution image in section where obtaining batch processing line.It therefore, can be to each of entire patient's internal organs using MPR technology Kind of lesion carry out Coronal, sagittal plain, horizontal axis position and loxosis planar reconstruction, (the flat of loxosis is not shown in Fig. 1 as shown in Figure 1 Face is rebuild), it shows the relationship of the surrounding tissues such as fine structure, lesion and the blood vessel of lesion and becomes apparent from, thus facing for disease Bed diagnosis or treatment provide complete, abundant, intuitive, readable image information.
Although the cross-sectional image of doctor's pathological tissues from any angle can be allowed using MPR technology, in practical doctor It treats in diagnosis, for same internal organs or lesion, the spatial position for the image that doctor's needs of same department are observed is substantially Fixed, that is to say, that medical personnel located defines the side of batch information to the original scan image of the case of same department Formula is essentially identical.
If for the original scan image of each new case, medical personnel located all manual definition batch informations, The repeated labor of medical personnel located is not only resulted in, and because the accuracy of manual definition batch information depends on medical treatment The subjective judgement of staff, causes the MPR batch processing efficiency of scan image lower and the accuracy of batch processing result is inconsistent.
Based on this, present disclose provides a kind of methods for realizing automatic MPR batch processing, first from the used history of doctor Template is found for the batch processing of new case's scan image in case batching data library, target histories batch processing knot will be obtained later The batch information that fruit defines is applied in the batch processing of new case's scan image, to automatically obtain at MPR batches of new case Manage result.
A kind of method flow for realizing automatic MPR batch processing referring to shown in Fig. 2 according to one exemplary embodiment of the disclosure Figure, the above method may include:
Step 11 obtains new case's scanning information, new case's original scan image;
In the disclosure, for the case library of same department, in a kind of situation, the new case can be a new patient Case, i.e., the medical history record of the not stored mistake patient in the case library of above-mentioned department.In another case, the new case It is also possible to the newest case an of historic patient, i.e., is stored with the previous case notes of the patient in the case library of the department, The case information that newest case herein obtains when being the nearest time check physical feeling of patient.The case history of one historic patient It may include many cases.
Before carrying out MPR batch processing to the medical image in new case, the medical image information of a new case can be with It include: new case's scanning information, new case's original scan image.
Wherein, new case's scanning information, which refers to, leads medical personnel located starting medical imaging equipment to the body of patient The information that position is scanned, may include: age of patient, height, weight, gender, scanned position, scanning voltage, electric current, The information such as dose of radiation, scanning mode.
New case's original scan image is for medical imaging equipment according to above-mentioned new case's scanning information to the body of patient After body region is scanned, the axle position faultage image at output, scanned position.The acquisition of new case's original scan image Process is as follows: medical imaging equipment is scanned scanned object, such as human organ, output sequence axle position faultage image, Then it stacks up axle position faultage image all in scanning range to form the three-dimensional volumetric images at scanned position, as one Part new case's original scan image.
Step 12 matches history Multiplanner reconstruction MPR batching data library according to new case's scanning information, obtains mesh History batch processor log is marked, the target histories batch processor log includes: target histories batch processing position, target histories batch processing Information;
In the embodiment of the present disclosure, stored in history MPR batching data library at a large amount of history batch by doctor's confirmation Reason record.Each history batch processor log describes medical personnel located and carries out to the original scan image of a history case The process of MPR batch processing.
In the embodiment of the present disclosure, the specific implementation process of step 12 can be found in flow chart shown in Fig. 3, and step 12 can wrap It includes:
Step 121 matches history MPR batching data library according to new case's scanning information, obtains history batch processing Set of records ends, the history MPR batching data library include: the corresponding relationship of history scanning information Yu history batch processor log;
For example, table one illustratively indicates a storage list in history MPR batching data library, it is assumed that in the database 5 group informations are stored altogether, that is, include 5 list items.Each list item includes a history scanning information and history batch processing note Corresponding relationship between record.For example, history case scanning information is scanning information 1, corresponding history batch processing in the first list item Information is recorded as the first batch processor log.
History scanning information History batch processor log
Scanning information 1 First batch processor log
Scanning information 2 Second batch processor log
Scanning information 1 Third batch processor log
Scanning information 1 4th batch processor log
Scanning information 2 5th batch processor log
Table one
It is assumed that new case's scanning information is scanning information 1, then the history MPR batching data library shown in the above-mentioned table one The history batch processor log set A that can be matched to are as follows: { the first batch processor log, third batch processor log, the 4th batch processing note Record }.
Step 122, according to the history batch processing location information in the history batch processor log set, determine target histories Batch processor log.
In the disclosure, every history batch processor log may include: history batch processing position, history batch information, go through The information such as history batch processing result.History batch processing location information involved in this step, is presented as in medical personnel located right Original scan image carries out the position of batch processing line defined in batch process, comprising: the position of starting batch processing line terminates The position of batch processing line.
The schematic diagram of the history case MPR batch processing referring to shown in Fig. 4-1 and Fig. 4-2, wherein Fig. 4-1, which is shown, to be based on One group of batch processing line of the arrow bitmap definition of the initial volume image of history case, totally 21 batch processing lines being parallel to each other.Its In, the batch processing line marked as 1 is starting batch processing line, and the batch processing line marked as 21 is to terminate batch processing line.It can from Fig. 4-1 Know, determines that the position of starting batch processing line is the key that the batch processing position of determining new case's original scan image.Therefore, to new Case realizes that the first step of automatic MPR batch processing is the position that determining new case originates batch processing line.
The process for determining that new case originates batch processing line position is described in detail with reference to the accompanying drawing:
The flow chart of disclosure step 122 specific embodiment referring to shown in Fig. 5, step 122 may include:
Step 1221 obtains the corresponding squared difference of every history batch processor log in the history batch processor log set With;
Wherein, the corresponding squared difference of a history batch processor log and S in above-mentioned history batch processor log setk's Calculating process may refer to flow chart shown in fig. 6, comprising:
Step 12211, the history case obtained in the history batch processing location information of a history batch processor log originate Batch processing line position;
History batch processing location information in one history batch processor log, comprising: starting batch processing line position information, knot The location information of line at beam batch processing line position information and intermediate each item batch.It is main in the embodiment of the present disclosure as shown in Fig. 4-1 Want the starting batch processing line position of usage history case.
Step 12212 defines new case's starting batch processing line position according to history case starting batch processing line position;
That is, in new case's original scan image, according to the new disease of position definition of above-mentioned history case starting batch processing line Example starting batch processing line.
Step 12213 calculates the pixel value that new case originates all pixels point on batch processing line using default interpolation algorithm, Obtain the pixel value list that new case originates batch processing line;
In the three-dimensional volumetric images being formed by stacking by the axle position faultage image of scanned object, the distance between tomography is remote Greater than the distance between pixel in tomography.If obtaining cross-sectional image according to above-mentioned three-dimensional volumetric images, will lead in cross-sectional image The resolution ratio of corresponding interlayer portion is lower, therefore, it is necessary to carry out interpolation calculation according to original scan image data, to make up interlayer The image resolution ratio of section.Batch processing line shown in Figure 7 carries out the schematic diagram of interpolation calculation, point P1 on batch processing line Between point P4, upper no pixel between point P4 and point P6, it is therefore desirable to according on tomography 1 pixel P1, on tomography 2 The position of pixel P6 on pixel P4, tomography 3 and the direction of pixel value, batch processing line carry out interpolation calculation, obtain interpolation Pixel, to obtain the information of preset quantity pixel on a batch processing line.The embodiment of the present disclosure can be inserted using a variety of Value-based algorithm carries out interpolation calculation, for example, Lagrangian (Lagrange) interpolation algorithm, Hamilton (Hermite) interpolation algorithm, point Section interpolation algorithm etc..
In one embodiment of the disclosure, the interpolation algorithm that can be indicated using following formula (1), interpolation calculation new case's original In beginning scan image on a batch processing line pixel pixel value:
PixelOnLinei=Interpolation (StartPoint+l*V) ... formula (1)
Wherein, V is a space vector for indicating batch processing line direction.
Interpolation calculation is carried out using formula (1) according to pixel P1, P4, P6 of the original scan image on batch processing line Afterwards, the interpolating pixel point obtained is P2, P3, P5.One can be illustratively indicated in new case's original scan image with table two The pixel value list of batch processing line:
Pixel point sequence Pixel value
P1 N1
P2 N2
P3 N3
P4 N4
P5 N5
P6 N6
Table two
Above-mentioned table two indicates the batch processing line with 6 pixel P1~P6.
Step 12214, the pixel value list that batch processing line is originated according to the new case calculate new case's starting batch Handle the squared difference and S of all pixels point on line and history case starting batch processing linek
Assuming that the pixel value list of above-mentioned history case starting batch processing line is as shown in Table 3:
Table three
In one embodiment of the disclosure, in conjunction with table two, table three, S can be calculated using following formula (2)k:
Wherein, OiIndicate the pixel value on history case starting batch processing line;NiIndicate that new case originates on batch processing line Pixel value.
The foregoing describe obtain S according to a history batch processor logkThe process of value.Similarly, step 121 is obtained every One history batch processor log executes 12211~step 12214 of above-mentioned steps, can obtain to equal number of SkValue.More than still For stating history batch processor log set A, three history batch processor logs in set A are corresponded to, can get three SkValue, can table It is shown as:In the embodiment of the present disclosure, the corresponding relationship of the two can be indicated using following table four:
Table four
From table four it is found that executing 12211~step 12214 of above-mentioned steps according to the first batch processor log, two can be obtained On batch processing line the squared difference of all pixels point and12211~step of above-mentioned steps is executed according to third batch processor log 12214, it can get12211~step 12214 of above-mentioned steps is executed according to the 4th batch processor log, can get
Step 1222, more each squared difference and, by the smallest squared difference and corresponding history case starting batch at Lineation is determined as target starting batch processing line;
In conjunction with above-mentioned formula (2), the process of minimal difference quadratic sum is asked to can be formulated as in step 1222:
Assuming that being determined by comparingNumerical value it is minimum, then will participate in calculatingHistory case starting batch processing line it is true It is set to target starting batch processing line.
History batch processor log where target starting batch processing line is determined as at target histories batch by step 1223 Reason record.
Referring to table four, for example, willCorresponding history batch processor log, that is, third batch processor log is determined as target histories Batch processor log.
Step 13 determines that new case originates batch processing line position according to target histories batch processing position;
In the embodiment of the present disclosure, after target starting batch processing line has been determined, it can be determined using following two mode New case originates batch processing line position:
First way: the position of target starting batch processing line is determined as the new case and originates batch processing line position It sets.
The second way: the position of batch processing line is originated according to the target, is finely adjusted, will meet according to preset strategy The batch processing line position of prerequisite is determined as the new case and originates batch processing line position.
Determine that new case originates batch processing line position according to the above-mentioned second way below in conjunction with the disclosure shown in Fig. 8 Embodiment flow chart, the second way is illustrated.
Before introducing embodiment, it should be understood that starting tomographic image is according to starting batch in the embodiment of the present disclosure It handles line and screenshot, the faultage image of acquisition is carried out to the three-dimensional volumetric images of scanned object.In the embodiment of the present disclosure, above-mentioned mesh Marking history batch processor log can also include: target histories batch processing result.
Wherein, target histories batch processing result can be according to batch processing line to the three-dimensional volumetric images of scanned object into Row screenshot, a series of faultage images of acquisition.For example, image shown in Fig. 4-2 is in Fig. 4-1 according to head and the tail batch processing line 1 ~21, screenshot, the history batch processing result of acquisition are carried out to the three-dimensional volumetric images of sweep object.In the history batch processing result Including the starting tomographic image obtained according to starting batch processing line.
Referring to Fig. 8, the above-mentioned position that batch processing line is originated according to the target is finely adjusted according to preset strategy, will expire The batch processing line position of sufficient prerequisite is determined as the new case and originates batch processing line position, may include:
Step 131, the position that batch processing line is originated according to the target, carry out new case's original scan image MPR batch processing obtains the first starting tomographic image of new case;
First starting tomographic image is that the target in target histories batch processor log is originated batch processing line, is applied to new case The faultage image obtained in the three-dimensional volumetric images of scanned object.
Step 132 originates tomographic image and the history initial layers figure in the target histories batch processing result for described first As carrying out Image Feature Matching, the first matching characteristic quantity λ is obtained1
It, can be using image recognition and registration technique in the related technology, such as Scale invariant features transform in the disclosure (Scale Invariant Feature Transform, SIFT) algorithm plays above-mentioned first starting tomographic image and above-mentioned history Beginning tomographic image carries out Image Feature Matching, positions the similitude in two images, obtains the matching characteristic quantity of two images, can To be denoted as the first matching characteristic quantity λ1
Step 133, the starting batch processing line position that new case is finely tuned using preset strategy;
In the user interface of MPR batch application, when target starting batch processing line position is shown in, new case is original to be swept Tracing is as in, and doctor can rule of thumb manual fine-tuning originates batch processing line by user's operation entrance that user interface provides Position, such as fine tuning originate the direction of batch processing line or translate the position of starting batch processing line in a small range.
Step 134, according to the starting batch processing line position after fine tuning, MPR is carried out to new case's original scan image Batch processing obtains the second starting tomographic image of new case;
According to the starting batch processing line after fine tuning, screenshot is carried out to the three-dimensional volumetric images of new case's scanned object, is obtained Obtain starting tomographic image newly.In the embodiment of the present disclosure, the starting tomographic image obtained according to the starting batch processing line after fine tuning is claimed For the second starting tomographic image.
The second starting tomographic image and history starting tomographic image are carried out Image Feature Matching by step 135, are obtained Second matching characteristic quantity λ2
This step is similar with above-mentioned steps 132, and details are not described herein again.
If step 136, the second matching characteristic quantity λ2Greater than the first matching characteristic quantity λ1, along the matching The direction that feature quantity increases continues to finely tune the starting batch processing line position of new case, until obtaining maximum matching characteristic quantity λmax, the starting batch processing line position finally adjusted is determined as to the starting batch processing line position of new case.
The implementation process of step 136 are as follows: judge the second matching characteristic quantity λ2It is special whether first matching is greater than Levy quantity λ1;If so, the above-mentioned preset fine tuning strategy of explanation is correct, and empty there are also finely tuning according to preset fine tuning strategy Between.Therefore, fine tuning starting batch processing line position can be continued according to the preset fine tuning strategy, i.e., increased along the matching characteristic quantity Big direction continues to finely tune the starting batch processing line position of new case, then obtains new starting tomographic image, then originate with history Tomographic image carries out Image Feature Matching, by the matching characteristic quantity obtained after the matching characteristic quantity of acquisition and preceding primary fine tuning into Row compares.Until finding maximum matching characteristic quantity λmax, the start line batch processing position finally adjusted is determined as new case's Originate batch processing line position.
The above process is also that circulation executes above-mentioned steps 133~136, until finding the maximum value λ of λmaxProcess.Currently Trim locations are exactly the best MPR batch processing position of new case, as shown in figure 9, the position A in figure is represented according to target starting batch The new case that the position of processing line initially determines that originates batch processing line position, and position B represents new case and most preferably originates batch processing line Position.
Step 14 originates batch processing line position and the target histories batch information according to the new case, to described New case's original scan image carries out MPR batch processing, obtains the MPR batch processing result of the new case.
After being determined that new case originates batch processing line position, the target in the target histories batch processor log is gone through History batch information, for example, thickness, interlayer every etc. information, be determined as new case's batch information.Later, according to determining new disease Example starting batch processing line position and new case's batch information carry out MPR batch processing to new case's original scan image, obtain new The MPR batch processing result of case.
In another embodiment of the disclosure, user such as doctor can also be received at the new case MRP obtained automatically batches Manage the feedback information of result.
If user is dissatisfied to the new case's MPR batch processing result automatically obtained, user can carry out micro- on this basis It adjusts, to obtain satisfactory batch processing result.It is automatic defeated although the process is also related to manually finely tuning batch processing position It is finely adjusted on the basis of batch processing result out, saves the time of Manual definition's batch information, new case still can be improved MPR batch processing efficiency.
It, can be according to i.e. now i.e. resulting if user is satisfied to the new case's MPR batch processing result automatically obtained Batch processing result is exported or is printed on film by principle, for doctor's use.At the same time it can also criticizing above-mentioned new case Processing record is saved in batching data library, expands the data volume in batching data library, is automatic MPR batches of subsequent new case Processing provides more data references, improves the accuracy of automatic MPR batch processing.
As it can be seen that in the embodiments of the present disclosure, history MPR batching data library is matched according to new case's scanning information first, Obtain all matched history batch processor logs.Then it is originated according to history and is risen after batch processing line is applied in new case with history The squared difference of all pixels point and the determining and most like history case of new case on beginning batch processing line.By curative activity people Member carries out the history defined when MPR batch processing starting batch processing line position to above-mentioned most like history case and history batch processing is believed Breath, applied in the MPR batch processing of new case's original scan image, to realize automatic MPR batch processing to new case.From above-mentioned Process can pass through computer software journey it is found that during the entire process of carrying out MPR batch processing to new case's original scan image Sequence realizes above-mentioned whole process, is not necessarily to medical personnel located manual definition batch processing position and batch information, reduces medical treatment The manual labor of staff improves the MPR batch processing efficiency of new case;On the other hand, the batch processing position of new case and Batch information is to carry out the data that objective analysis obtains based on the history MPR batching data library by doctor's confirmation, is avoided Because different doctor's subjective judgements inconsistent accuracy for leading to the MPR batch processing to different cases is inconsistent, improve to disease The accuracy of example diagram picture progress MPR batch processing.
It, can be with after finding matched history case starting batch processing line position in another embodiment of the disclosure It is finely adjusted in the user interface based on the position, finds best MPR batch processing position, further increased at new case MPR batches The accuracy of reason.
For the various method embodiments described above, for simple description, therefore, it is stated as a series of action combinations, but Be those skilled in the art should understand that, the present invention is not limited by the sequence of acts described because according to the present invention, certain A little steps can be performed in other orders or simultaneously.
Secondly, those skilled in the art should also know that, embodiment described in this description belongs to alternative embodiment, Necessary to the related actions and modules not necessarily disclosure.
The method of the corresponding above-mentioned automatic MPR batch processing of realization, present disclose provides a kind of dresses for realizing automatic MPR batch processing It sets, 0 device block diagram shown according to an exemplary embodiment for realizing automatic MPR batch processing, the embodiment of the present disclosure mention referring to Fig.1 The device of the automatic MPR batch processing of realization of confession may include:
New case obtains module 21, for obtaining new case's scanning information, new case's original scan image;
Target record matching module 22, for matching history Multiplanner reconstruction MPR batches according to new case's scanning information Database is handled, obtains target histories batch processor log, the target histories batch processor log includes: target histories batch processing position It sets, target histories batch information;
Position determination module 23, for determining that new case originates batch processing line position according to target histories batch processing position It sets;
MPR batch processing module 24, for being originated at batch processing line position and the target histories batch according to the new case Information is managed, MPR batch processing is carried out to new case's original scan image, obtains the MPR batch processing result of the new case.
The structural block diagram of 1 target record matching module shown according to an exemplary embodiment referring to Fig.1, in the disclosure one In embodiment, target record matching module 22 may include:
Matched sub-block 221 is obtained for matching history MPR batching data library according to new case's scanning information History batch processor log set, the history MPR batching data library includes: history scanning information and history batch processor log Corresponding relationship;
Target record determines submodule 222, for according to the history batch processing position in the history batch processor log set Confidence breath, determines target histories batch processor log.
2 target records shown according to an exemplary embodiment determine the structural block diagram of submodule referring to Fig.1;In the disclosure In one embodiment, target record determines that submodule 222 may include:
Numerical value acquiring unit 2221, for obtaining every history batch processor log pair in the history batch processor log set The squared difference answered and;
Comparing unit 2222, for more each squared difference and, by the smallest squared difference and corresponding history case Starting batch processing line is determined as target starting batch processing line;
Target record determination unit 2223, it is true for the history batch processor log where the target is originated batch processing line It is set to target histories batch processor log.
The structural block diagram of 3 value acquiring units shown according to an exemplary embodiment referring to Fig.1;In one embodiment of the disclosure In, numerical value acquiring unit 2221 may include:
First position determines subelement 22211, and the history batch processing position for obtaining a history batch processor log is believed History case in breath originates batch processing line position;
Position defines subelement 22212, defines new case for originating batch processing line position according to the history case Beginning batch processing line position;
Interpolation subelement 22213 originates all pixels on batch processing line for calculating new case using default interpolation algorithm The pixel value of point obtains the pixel value list that new case originates batch processing line;
Computation subunit 22214 calculates described new for originating the pixel value list of batch processing line according to the new case Case originate batch processing line and the history case starting batch processing line on all pixels point squared difference and.
In one embodiment of the disclosure, position determination module 23 may include:
First position determines submodule, rises for the position of target starting batch processing line to be determined as the new case Beginning batch processing line position;
The second position determines submodule, for according to the target originate batch processing line position, according to it is preset strategy into The batch processing line position for meeting prerequisite is determined as the new case and originates batch processing line position by row fine tuning.
In one embodiment of the disclosure, the target histories batch processor log further include: target histories batch processing result.Phase It answers, 4 second positions shown according to an exemplary embodiment determine the structural block diagram of submodule referring to Fig.1;In the disclosure one In embodiment, said second position determines that submodule may include:
First image acquisition unit 231, it is former to the new case for originating the position of batch processing line according to the target Beginning scan image carries out MPR batch processing, obtains the first starting tomographic image of new case;
Fisrt feature matching unit 232, for originating tomographic image and the target histories batch processing result for described first In history starting tomographic image carry out Image Feature Matching, obtain the first matching characteristic quantity λ1
Position adjustment unit 233, for the starting batch processing line position using preset strategy fine tuning new case;
Second image acquisition unit 234, it is original to the new case for according to the starting batch processing line position after fine tuning Scan image carries out MPR batch processing, obtains the second starting tomographic image of new case;
Second feature matching unit 235, for carrying out the second starting tomographic image and history starting tomographic image Image Feature Matching obtains the second matching characteristic quantity λ2
Position determination unit 236, in the second matching characteristic quantity λ2Greater than the first matching characteristic quantity λ1 In the case where, continue the starting batch processing line position for finely tuning new case along the direction that the matching characteristic quantity increases, until To maximum matching characteristic quantity λmax, the starting batch processing line position finally adjusted is determined as to the starting batch processing line of new case Position, wherein j indicates fine tuning number.
For device embodiment, since it corresponds essentially to embodiment of the method, so related place is referring to method reality Apply the part explanation of example.The apparatus embodiments described above are merely exemplary, wherein described be used as separation unit The unit of explanation may or may not be physically separated, and component shown as a unit can be or can also be with It is not physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to actual The purpose for needing to select some or all of the modules therein to realize disclosure scheme.Those of ordinary skill in the art are not paying Out in the case where creative work, it can understand and implement.
The method of the above-mentioned automatic MPR batch processing of realization can be executed, the control by the control equipment of medical image processing system The structure of control equipment may refer to schematic diagram shown in figure 15.As shown in figure 15, control equipment may include processor (processor) 1510, communication interface (Communications Interface) 1520, memory (memory) 1530, total Line 1540.Processor 1510, communication interface 1520, memory 1530 complete mutual communication by bus 1540.
Wherein, it can store the logical order for realizing automatic MPR batch processing in memory 1530, which for example may be used To be nonvolatile memory (non-volatile memory).Processor 1510, which can call, to be executed in memory 1530 Realize the logical order of automatic MPR batch processing, the method to execute the automatic MPR batch processing of above-mentioned realization.For example, the realization is automatic The logical order of MPR batch processing can be the corresponding program of partial function of the control software of medical image processing system, locate When reason device executes the instruction, control equipment corresponding can show in the display interface the corresponding function interface of the instruction.
If realizing that the function of the logical order of automatic MPR batch processing is realized in the form of SFU software functional unit and as only Vertical product when selling or using, can store in a computer readable storage medium.Based on this understanding, this public affairs Substantially the part of the part that contributes to existing technology or the technical solution can be with soft in other words for the technical solution opened The form of part product embodies, which is stored in a storage medium, including some instructions are to make It obtains a computer equipment (can be personal computer, server or the network equipment etc.) and executes each embodiment of the present invention The all or part of the steps of the method.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. it is various It can store the medium of program code.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to its of the disclosure Its embodiment.The disclosure is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or Person's adaptive change follows the general principles of this disclosure and including the undocumented common knowledge in the art of the disclosure Or conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by following Claim is pointed out.
It should be understood that the present disclosure is not limited to the precise structures that have been described above and shown in the drawings, and And various modifications and changes may be made without departing from the scope thereof.The scope of the present disclosure is only limited by the accompanying claims.

Claims (8)

1. a kind of method for realizing automatic MPR batch processing, which is characterized in that the described method includes:
Obtain new case's scanning information, new case's original scan image;
History Multiplanner reconstruction MPR batching data library is matched according to new case's scanning information, is obtained at target histories batch Reason record, the target histories batch processor log includes: target histories batch processing position, target histories batch information;
Determine that new case originates batch processing line position according to target histories batch processing position;
Batch processing line position and the target histories batch information are originated according to the new case, it is original to the new case to sweep Tracing obtains the MPR batch processing result of the new case as carrying out MPR batch processing;
Wherein, described that history Multiplanner reconstruction MPR batching data library is matched according to new case's scanning information, obtain target History batch processor log, comprising:
History MPR batching data library is matched according to new case's scanning information, obtains history batch processor log set, it is described History MPR batching data library includes: the corresponding relationship of history scanning information Yu history batch processor log;
Obtain in the history batch processor log set the corresponding squared difference of every history batch processor log and;
More each squared difference and, by the smallest squared difference and corresponding history case starting batch processing line be determined as target Originate batch processing line;
History batch processor log where the target is originated batch processing line is determined as target histories batch processor log.
2. the method according to claim 1, wherein described obtain in the history batch processor log set every The corresponding squared difference of history batch processor log and, comprising:
Obtain the history case starting batch processing line position in the history batch processing location information of a history batch processor log;
Batch processing line position, which is originated, according to the history case defines new case's starting batch processing line position;
The pixel value that new case originates all pixels point on batch processing line is calculated using default interpolation algorithm, obtains new case's starting The pixel value list of batch processing line;
The pixel value list that batch processing line is originated according to the new case calculates new case's starting batch processing line and goes through with described History case originate batch processing line on all pixels point squared difference and.
3. the method according to claim 1, wherein described determine newly according to target histories batch processing position Case originates batch processing line position, comprising:
The position of target starting batch processing line is determined as the new case and originates batch processing line position;Alternatively,
According to the target originate batch processing line position, be finely adjusted according to preset strategy, by meet prerequisite batch at Lineation position is determined as the new case and originates batch processing line position.
4. according to the method described in claim 3, it is characterized in that, the target histories batch processor log further include: target is gone through History batch processing result;
The position that batch processing line is originated according to the target, is finely adjusted according to preset strategy, will meet prerequisite Batch processing line position is determined as the new case and originates batch processing line position, comprising:
The position that batch processing line is originated according to the target carries out MPR batch processing to new case's original scan image, obtains The first starting tomographic image of new case;
It is special that history starting tomographic image in the first starting tomographic image and the target histories batch processing result is subjected to image Sign matching, obtains the first matching characteristic quantity λ1
Using the starting batch processing line position of preset strategy fine tuning new case;
According to the starting batch processing line position after fine tuning, MPR batch processing is carried out to new case's original scan image, is obtained new Second starting tomographic image of case;
The second starting tomographic image and history starting tomographic image are subjected to Image Feature Matching, obtain the second matching characteristic Quantity λ2
If the second matching characteristic quantity λ2Greater than the first matching characteristic quantity λ1, increase along the matching characteristic quantity Direction continue to finely tune the starting batch processing line position of new case, until obtain maximum matching characteristic quantity λmax, will finally adjust Starting batch processing line position be determined as the starting batch processing line position of new case.
5. a kind of device for realizing automatic MPR batch processing, which is characterized in that described device includes:
New case obtains module, for obtaining new case's scanning information, new case's original scan image;
Target record matching module, for matching history Multiplanner reconstruction MPR batch processing number according to new case's scanning information According to library, target histories batch processor log is obtained, the target histories batch processor log includes: target histories batch processing position, mesh Mark history batch information;
Position determination module, for determining that new case originates batch processing line position according to target histories batch processing position;
MPR batch processing module, for originating batch processing line position and the target histories batch information according to the new case, MPR batch processing is carried out to new case's original scan image, obtains the MPR batch processing result of the new case;
Wherein, the target record matching module, comprising:
Matched sub-block obtains at history batch for matching history MPR batching data library according to new case's scanning information Set of records ends is managed, the history MPR batching data library, which includes: that history scanning information is corresponding with history batch processor log, closes System;
Target record determines submodule, for according to the history batch processing location information in the history batch processor log set, Determine target histories batch processor log;
The target record determines submodule, comprising:
Numerical value acquiring unit, for obtaining the corresponding difference of every history batch processor log in the history batch processor log set Quadratic sum;
Comparing unit, is used for more each squared difference and originates the smallest squared difference and corresponding history case at criticizing Lineation is determined as target starting batch processing line;
Target record determination unit is determined as target for the history batch processor log where the target is originated batch processing line History batch processor log.
6. device according to claim 5, which is characterized in that the numerical value acquiring unit, comprising:
First position determines subelement, the history in history batch processing location information for obtaining a history batch processor log Case originates batch processing line position;
Position defines subelement, defines new case's starting batch processing line for originating batch processing line position according to the history case Position;
Interpolation subelement, for calculating the pixel that new case originates all pixels point on batch processing line using default interpolation algorithm Value obtains the pixel value list that new case originates batch processing line;
Computation subunit calculates new case's starting for originating the pixel value list of batch processing line according to the new case Batch processing line and the history case starting batch processing line on all pixels point squared difference and.
7. device according to claim 5, which is characterized in that the position determination module, comprising:
First position determines submodule, for the position of target starting batch processing line to be determined as new case's starting batch Handle line position;
The second position determines submodule, for originating the position of batch processing line according to the target, carries out according to preset strategy micro- It adjusts, the batch processing line position for meeting prerequisite is determined as the new case and originates batch processing line position.
8. device according to claim 7, which is characterized in that the target histories batch processor log further include: target is gone through History batch processing result;
The second position determines submodule, comprising:
First image acquisition unit, for originating the position of batch processing line according to the target, to new case's original scan Image carries out MPR batch processing, obtains the first starting tomographic image of new case;
Fisrt feature matching unit, for originating the history in tomographic image and the target histories batch processing result by described first It originates tomographic image and carries out Image Feature Matching, obtain the first matching characteristic quantity λ1
Position adjustment unit, for the starting batch processing line position using preset strategy fine tuning new case;
Second image acquisition unit, for according to the starting batch processing line position after fine tuning, to new case's original scan figure As carrying out MPR batch processing, the second starting tomographic image of new case is obtained;
Second feature matching unit, for the second starting tomographic image and history starting tomographic image to be carried out characteristics of image Matching obtains the second matching characteristic quantity λ2
Position determination unit, in the second matching characteristic quantity λ2Greater than the first matching characteristic quantity λ1The case where Under, continue the starting batch processing line position for finely tuning new case along the direction that the matching characteristic quantity increases, until obtaining maximum Matching characteristic quantity λmax, the starting batch processing line position finally adjusted is determined as to the starting batch processing line position of new case.
CN201510946881.0A 2015-12-16 2015-12-16 A kind of method and apparatus for realizing automatic MPR batch processing Active CN105787922B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510946881.0A CN105787922B (en) 2015-12-16 2015-12-16 A kind of method and apparatus for realizing automatic MPR batch processing

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510946881.0A CN105787922B (en) 2015-12-16 2015-12-16 A kind of method and apparatus for realizing automatic MPR batch processing

Publications (2)

Publication Number Publication Date
CN105787922A CN105787922A (en) 2016-07-20
CN105787922B true CN105787922B (en) 2019-04-12

Family

ID=56390203

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510946881.0A Active CN105787922B (en) 2015-12-16 2015-12-16 A kind of method and apparatus for realizing automatic MPR batch processing

Country Status (1)

Country Link
CN (1) CN105787922B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107705350B (en) * 2017-09-05 2021-03-30 东软医疗***股份有限公司 Medical image generation method, device and equipment
CN111078283B (en) * 2018-10-19 2021-02-09 中科寒武纪科技股份有限公司 Operation method, device and related product
CN110148127B (en) * 2019-05-23 2021-05-11 数坤(北京)网络科技有限公司 Intelligent film selection method, device and storage equipment for blood vessel CTA post-processing image

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101923713A (en) * 2010-08-04 2010-12-22 中国科学院自动化研究所 Method for extracting central line of coronary artery vessel

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101923713A (en) * 2010-08-04 2010-12-22 中国科学院自动化研究所 Method for extracting central line of coronary artery vessel

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
MSCT一站式重组在腰椎病诊断中的应用价值;张海波 等;《CT理论与应用研究》;20120331;第21卷(第1期);第81页
螺旋CT扫描及多平面重建(MPR)在股骨颈骨折诊断及分型中的临床价值;原珍团 等;《四川医学》;20140831;第35卷(第8期);第1051-1053页

Also Published As

Publication number Publication date
CN105787922A (en) 2016-07-20

Similar Documents

Publication Publication Date Title
US11756160B2 (en) ML-based methods for pseudo-CT and HR MR image estimation
US11559221B2 (en) Multi-task progressive networks for patient modeling for medical scans
JP6567179B2 (en) Pseudo CT generation from MR data using feature regression model
US10417762B2 (en) Matching patient images and images of an anatomical atlas
US9123097B2 (en) System and method for automatic generation of initial radiation treatment plans
EP3268931B1 (en) Method and apparatus for assessing image registration
JP2018535732A (en) Pseudo CT generation from MR data using tissue parameter estimation
US9508144B2 (en) Determining an anatomical atlas
US9498645B2 (en) Dose deformation error calculation method and system
CN105787922B (en) A kind of method and apparatus for realizing automatic MPR batch processing
JP5296981B2 (en) Automatic registration of medical volume images in modalities using affine transformation
US12002153B2 (en) Methods, systems, and apparatuses for medical image enhancement to optimize transducer array placement
US8150122B2 (en) Method for controlling an image data acquisition and/or evaluation procedure in medical examinations
US7668370B2 (en) Segmenting a series of 2D or 3D images
US20200376295A1 (en) Determining at least one final two-dimensional image for visualizing an object of interest in a three dimensional ultrasound volume
CN109350059A (en) For ancon self-aligning combined steering engine and boundary mark engine
JP2024506509A (en) Methods, systems and apparatus for medical image enhancement that optimize transducer array placement
CN116152143A (en) Dose deformation evaluation method, system and equipment
CN117083628A (en) Methods, systems, and apparatus for medical image enhancement to optimize transducer array placement
EP2912632A1 (en) Determining an anatomical atlas

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP03 Change of name, title or address
CP03 Change of name, title or address

Address after: 110167 No. 177-1 Innovation Road, Hunnan District, Shenyang City, Liaoning Province

Patentee after: DongSoft Medical System Co., Ltd.

Address before: Hunnan New Century Road 110179 Shenyang city of Liaoning Province, No. 16

Patentee before: Dongruan Medical Systems Co., Ltd., Shenyang