CN107392976A - Data processing method, device and equipment - Google Patents
Data processing method, device and equipment Download PDFInfo
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- CN107392976A CN107392976A CN201710641179.2A CN201710641179A CN107392976A CN 107392976 A CN107392976 A CN 107392976A CN 201710641179 A CN201710641179 A CN 201710641179A CN 107392976 A CN107392976 A CN 107392976A
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/003—Reconstruction from projections, e.g. tomography
- G06T11/005—Specific pre-processing for tomographic reconstruction, e.g. calibration, source positioning, rebinning, scatter correction, retrospective gating
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Abstract
The embodiments of the invention provide a kind of data processing method, device and equipment.The embodiment of the present invention is by obtaining the CT images and the first PET data of detected object,According to CT images,Identify the profile information of detected object,According to profile information,Determine area-of-interest,And obtain the data in the first PET data in area-of-interest,As the second PET data,Based on the second PET data,Carry out image reconstruction process,Obtain PET image,Profile information is determined using CT images,Area-of-interest is determined by profile information again,So that area-of-interest is corresponding with the specific profile of each detected object,Reduce the size of area-of-interest,So as to reduce the data volume of the PET data needed for the PET image reconstruction determined as area-of-interest,And then shorten the processing time of reconstruction,Improve treatment effeciency,PET/CT systems are solved to a certain extent when obtaining PET reconstruction images,It is more to rebuild PET data used,Cause processing time longer,The problem for the treatment of effeciency is relatively low.
Description
【Technical field】
This programme is related to technical field of image processing, more particularly to a kind of data processing method, device and equipment.
【Background technology】
Medically, it is often necessary to use PET (Positron Emission Computed Tomography, positive electron
Emission computerized tomography images)/CT (Computed Tomography, CT scan) system.Pass through PET/
CT system, the PET image data and CT view data of human body can be collected, so that medical research and analysis use.
Wherein, PET/CT systems can export CT images and PET data, and reconstruction processing is carried out to PET data to be obtained
PET image.Containing the data for being not belonging to detected object in the original PET data of PET/CT system acquisitions, carried out to PET data
Reconstruction processing before, it is necessary to filtered out from original PET data rebuild needed for data, these data by area-of-interest come
Selection.One area-of-interest is set, and the PET data within area-of-interest is the data needed for rebuilding.
In the prior art, by setting unified area-of-interest, the PET needed for rebuilding is obtained from original PET data
Data.That is, fat or thin regardless of detected object height, the area-of-interest size corresponding to it is all identical.So, it is
Ensure not omitting the data for belonging to detected object, area-of-interest size is set usually in accordance with the most fat human body of the highest of hypothesis
Meter, therefore, area-of-interest is larger, and so, it is more to rebuild PET data used, causes processing time longer, treatment effeciency
It is relatively low.
【The content of the invention】
In view of this, this programme embodiment provides a kind of data processing method, device and equipment, to solve existing skill
PET/CT systems are when obtaining PET reconstruction images in art, and it is more to rebuild PET data used, cause that processing time is longer, processing
The problem of less efficient.
In a first aspect, this programme embodiment provides a kind of data processing method, methods described includes：
Obtain the CT images and the first PET data of detected object；
According to the CT images, the profile information of the detected object is identified；
According to the profile information, area-of-interest is determined, and is obtained in first PET data in described interested
Data in region, as the second PET data；
Based on second PET data, image reconstruction process is carried out, obtains PET image.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, based on described the
Two PET datas, image reconstruction is carried out, obtains PET image, including：
The CT images are divided at least two CT subgraphs；
From second PET data, PET corresponding to the specified CT subgraphs at least two CT subgraphs is obtained
Data, as target PET data；
The first reconstruction parameter is set for the target PET data, is to remove the target PET numbers in second PET data
Non-targeted PET data outside sets the second reconstruction parameter；
Reconstruction processing is carried out to the target PET data according to first reconstruction parameter, obtains the first PET Local maps
Picture, and reconstruction processing is carried out to the non-targeted PET data according to second reconstruction parameter, obtain the 2nd PET Local maps
Picture；
Fusion treatment is carried out to the first PET topographies and the 2nd PET topographies, obtains PET image.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, from described second
In PET data, PET data corresponding to the specified CT subgraphs at least two CT subgraphs is obtained, as target PET numbers
According to before, methods described also includes：
Selection information is received, the selection information is used to select the CT subgraphs at least two CT subgraphs
Select；
According to the selection information, CT subgraphs corresponding to the selection information are determined to specify CT subgraphs.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, from described second
In PET data, PET data corresponding to the specified CT subgraphs at least two CT subgraphs is obtained, as target PET numbers
According to before, methods described also includes：
Reconstruction processing is carried out to first PET data, obtains the first PET image；
According at least two CT subgraphs, first PET image is divided at least two PET subgraphs, institute
It is corresponding with the CT subgraphs to state PET subgraphs；
According to each CT subgraphs PET subgraphs corresponding with its, position corresponding to each CT subgraphs is carried out
Information identifies；
When recognizing specify information, it is determined that identifying that CT subgraphs corresponding to the position of the specify information are to specify CT
Subgraph.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, based on described the
Two PET datas, image reconstruction is carried out, obtains PET image, including：
The CT images are divided at least two CT subgraphs；
According at least two CT subgraphs, second PET data is divided into and at least two CT subgraphs
At least two groups of PET datas as corresponding to；
For every group of PET data at least two groups of PET datas, reconstruction parameter is set respectively；
Reconstruction parameter corresponding to every group of PET data at least two groups of PET datas, respectively to described at least two
Group PET data carries out reconstruction processing, obtains at least two the 3rd PET topographies；
Fusion treatment is carried out at least two the 3rd PET topographies, obtains PET image.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, according to it is described extremely
At least two groups of PET datas are rebuild by reconstruction parameter corresponding to every group of PET data in few two groups of PET datas respectively
Processing, before obtaining at least two the 3rd PET topographies, methods described also includes：
For every group of PET data at least two groups of PET datas, correction parameter is set respectively；
Correction parameter corresponding to every group of PET data at least two groups of PET datas, respectively to described at least two
Group PET data is corrected processing, obtains at least two groups of PET correction datas；
Reconstruction parameter corresponding to every group of PET data at least two groups of PET datas, respectively to described at least two
Group PET data carries out reconstruction processing, obtains at least two the 3rd PET topographies, including：According at least two groups of PET numbers
Reconstruction parameter corresponding to every group of PET data in, reconstruction processing is carried out at least two groups of PET correction datas respectively, obtained
To at least two the 3rd PET topographies.
Second aspect, this programme embodiment provide a kind of data processing equipment, and described device includes：
Acquisition module, for obtaining the CT images and the first PET data of detected object；
Outline identification module, for according to the CT images, identifying the profile information of the detected object；
Determining module, for according to the profile information, determining area-of-interest, and obtain in first PET data
Data in the area-of-interest, as the second PET data；
Module is rebuild, for based on second PET data, carrying out image reconstruction process, obtaining PET image.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, the reconstruction mould
Block is for based on second PET data, carrying out image reconstruction, when obtaining PET image, being used for：
The CT images are divided at least two CT subgraphs；
From second PET data, PET corresponding to the specified CT subgraphs at least two CT subgraphs is obtained
Data, as target PET data；
The first reconstruction parameter is set for the target PET data, is to remove the target PET numbers in second PET data
Non-targeted PET data outside sets the second reconstruction parameter；
Reconstruction processing is carried out to the target PET data according to first reconstruction parameter, obtains the first PET Local maps
Picture, and reconstruction processing is carried out to the non-targeted PET data according to second reconstruction parameter, obtain the 2nd PET Local maps
Picture；
Fusion treatment is carried out to the first PET topographies and the 2nd PET topographies, obtains PET image.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, the reconstruction mould
Block is for based on second PET data, carrying out image reconstruction, when obtaining PET image, being used for：
The CT images are divided at least two CT subgraphs；
According at least two CT subgraphs, second PET data is divided into and at least two CT subgraphs
At least two groups of PET datas as corresponding to；
For every group of PET data at least two groups of PET datas, reconstruction parameter is set respectively；
Reconstruction parameter corresponding to every group of PET data at least two groups of PET datas, respectively to described at least two
Group PET data carries out reconstruction processing, obtains at least two the 3rd PET topographies；
Fusion treatment is carried out at least two the 3rd PET topographies, obtains PET image.
The third aspect, this programme embodiment provide a kind of data processing equipment, and the equipment includes：
Processor；
For storing the memory of the processor-executable instruction；
The processor is configured as：
Obtain the CT images and the first PET data of detected object；
According to the CT images, the profile information of the detected object is identified；
According to the profile information, area-of-interest is determined, and is obtained in first PET data in described interested
Data in region, as the second PET data；
Based on second PET data, image reconstruction process is carried out, obtains PET image.
Fourth aspect, this programme embodiment provide a kind of data processing method, and methods described includes：
Obtain the CT images and the first PET data of detected object；
Area-of-interest is determined on the CT images, and the first PET numbers are obtained according to the positional information of the first PET data
Data in the area-of-interest, as the second PET data；
Based on second PET data, image reconstruction process is carried out, obtains PET image；
CT images and PET image are subjected to fusion treatment.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, it is described interested
The area in region is less than the 50% of CT images.
The embodiment of the present invention has the advantages that：
The embodiment of the present invention, by obtaining the CT images and the first PET data of detected object, according to CT images, identify by
The profile information of object is examined, according to profile information, determines area-of-interest, and obtain in the first PET data and be in region of interest
Data in domain, as the second PET data, based on the second PET data, image reconstruction process is carried out, obtains PET image, utilized
The CT images of detected object determine the profile information of detected object, then determine area-of-interest by the profile information of detected object,
So that area-of-interest is corresponding with the specific profile of each detected object, the size of area-of-interest is reduced, so as to reduce
The data volume of the PET data needed for PET image reconstruction determined as area-of-interest, and then when shortening the processing of reconstruction
Between, improve treatment effeciency.
【Brief description of the drawings】
In order to illustrate more clearly of the technical scheme of this programme embodiment, below by embodiment it is required use it is attached
Figure is briefly described, it should be apparent that, drawings in the following description are only some embodiments of this programme, for this area
For those of ordinary skill, without having to pay creative labor, it can also be obtained according to these accompanying drawings other attached
Figure.
Fig. 1 is the first pass exemplary plot of data processing method provided in an embodiment of the present invention.
Fig. 2 is the second procedure exemplary plot of data processing method provided in an embodiment of the present invention.
Fig. 3 is the 3rd flow example figure of data processing method provided in an embodiment of the present invention.
Fig. 4 is the 4th flow example figure of data processing method provided in an embodiment of the present invention.
Fig. 5 is the functional block diagram of data processing equipment provided in an embodiment of the present invention.
Fig. 6 is the simplified block diagram of data processing equipment provided in an embodiment of the present invention.
【Embodiment】
In order to be better understood from the technical scheme of this programme, this programme embodiment is retouched in detail below in conjunction with the accompanying drawings
State.
It will be appreciated that described embodiment is only this programme part of the embodiment, rather than whole embodiments.Base
Embodiment in this programme, those of ordinary skill in the art obtained under the premise of creative work is not made it is all its
Its embodiment, belong to the scope of this programme protection.
The term used in this programme embodiment is only merely for the purpose of description specific embodiment, and is not intended to be limiting
This programme." one kind ", " described " and "the" of singulative used in this programme embodiment and appended claims
It is also intended to including most forms, unless context clearly shows that other implications.
It should be appreciated that term "and/or" used herein is only a kind of incidence relation for describing affiliated partner, represent
There may be three kinds of relations, for example, A and/or B, can be represented：Individualism A, while A and B be present, individualism B these three
Situation.In addition, character "/" herein, it is a kind of relation of "or" to typically represent forward-backward correlation object.
Depending on linguistic context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determining " or " in response to detection ".Similarly, depending on linguistic context, phrase " if it is determined that " or " if detection
(condition or event of statement) " can be construed to " when it is determined that when " or " in response to determine " or " when the detection (condition of statement
Or event) when " or " in response to detecting (condition or event of statement) ".
Fig. 1 is the first pass exemplary plot of data processing method provided in an embodiment of the present invention.As shown in figure 1, this implementation
In example, data processing method may include steps of：
S101, obtain the CT images and the first PET data of detected object.
S102, according to CT images, identify the profile information of detected object.
S103, according to profile information, area-of-interest is determined, and obtained in the first PET data in area-of-interest
Data, as the second PET data.
S104, based on the second PET data, image reconstruction process is carried out, obtains PET image.
Wherein, the CT images of detected object and the first PET data can be by directly gathering the output numbers of PET/CT systems
According to obtaining.
In the application, the CT images and the first PET data for the same detected object that can also be exported PET/CT systems are deposited
Storage is in specified location.When needing to obtain the CT images and the first PET data of some detected object, can be read from the specified location
Take corresponding data.Wherein, specified location can be the local storage location of PET/CT systems or with PET/CT systems
Storage location in connected external equipment.
Wherein, the profile information of detected object can be the first coordinate letter corresponding to the profile of detected object in CT images
Breath.
Wherein, according to profile information, determine that area-of-interest can include：Believed using the first coordinate corresponding to profile information
Breath, it is determined that the second coordinate information corresponding with the first coordinate information, wherein, the coordinate system corresponding to the second coordinate information and first
Coordinate system corresponding to coordinate corresponding to PET data is identical.
Because profile information has accurately reflected the human body contour outline border of detected object, therefore, determined according to profile information
Area-of-interest, it can accurately determine to belong to coordinate corresponding to the PET data of detected object body part.So, region of interest
Domain can be corresponding with the specific profile of detected object, and compared to area-of-interest unified in the prior art, it is emerging to reduce sense
The size in interesting region.The size of area-of-interest reduces, and the data volume in the first PET data in area-of-interest just subtracts
Few, that is, rebuilding the data volume of required PET data just reduces, in this manner it is possible to shorten the processing time needed for rebuilding, from
And improve treatment effeciency.
Embodiment illustrated in fig. 1, the profile information of detected object is determined by the CT images of detected object, then by detected object
Profile information determine area-of-interest so that area-of-interest is corresponding with the specific profile of each detected object, reduces
The size of area-of-interest, so as to reduce the data of the PET data needed for the PET image reconstruction determined as area-of-interest
Amount, and then the processing time of reconstruction is shortened, improve treatment effeciency.
Fig. 2 is the second procedure exemplary plot of data processing method provided in an embodiment of the present invention.As shown in Fig. 2 this implementation
In example, data processing method may include steps of：
S201, obtain the CT images and the first PET data of detected object.
S202, according to CT images, identify the profile information of detected object.
S203, according to profile information, area-of-interest is determined, and obtained in the first PET data in area-of-interest
Data, as the second PET data.
S204, CT images are divided at least two CT subgraphs.
S205, from the second PET data, obtain PET numbers corresponding to the specified CT subgraphs at least two CT subgraphs
According to as target PET data.
S206, for target PET data set the first reconstruction parameter, be the second PET data in addition to target PET data
Non-targeted PET data sets the second reconstruction parameter.
S207, reconstruction processing is carried out to target PET data according to the first reconstruction parameter, obtains the first PET topographies, with
And reconstruction processing is carried out to non-targeted PET data according to the second reconstruction parameter, obtain the 2nd PET topographies.
S208, fusion treatment is carried out to the first PET topographies and the 2nd PET topographies, obtains PET image.
Wherein, reconstruction parameter can include iterations, smoothing parameter etc..
Wherein, the quantity for specifying CT subgraphs can be one or two or more.
When carrying out PET scan to detected object, what is generally carried out is body scan.But in actual applications, it is necessary to
The possibility of concern is some local or some organ or tissue of human body.Therefore, for belonging to different human body position or group
The PET data of organ is knitted, the requirement of reconstruction is different.The human body or histoorgan paid close attention to for needs, can make
With higher reconstruction condition, to obtain needing the higher-quality local PET image for paying close attention to position.For what need not be paid close attention to
Human body or histoorgan, then common reconstruction condition can be used, what is so obtained is the office for meeting run-of-the-mill requirement
Portion's PET image.
When splitting CT images, can be instructed according to the division of user, CT images are divided according to position (such as will
CT images are divided into head, chest, belly, the CT subgraphs of leg four), the density information pair that can also be reflected according to CT images
CT images are divided (such as is divided into each organ of heart, lung, kidney, soft tissue, liver, pancreas etc. by CT images
Or CT subgraphs corresponding to tissue).
Illustrate.CT images are divided into head, chest, belly, the CT subgraphs of leg four.Assuming that emphasis will be paid close attention to
Be chest and the two positions of belly, then can by the second PET data with chest CT subgraph and abdominal CT subgraph
Corresponding data as target PET data, by the second PET data with Cranial Computed Tomography subgraph and leg CT subgraphs it is corresponding
Then data set different reconstruction parameters as non-targeted PET data to target PET data and non-targeted PET data.This
Sample, in the local PET image obtained after the re-establishment, local PET image quality is higher corresponding to chest and belly, after fusion
The chest and the information of belly that PET image is presented become apparent from.
Wherein, after CT subgraphs are split, which or which CT subgraphs can be determined by inputting information by user
Seem to specify CT subgraphs, which or which CT subgraphs can also be automatically determined according to the recognition result identified is specified by system
Seem to specify CT subgraphs.
In an exemplary implementation process, from the second PET data, specifying at least two CT subgraphs is obtained
PET data corresponding to CT subgraphs, before target PET data, data processing method can also include：Receive selection letter
Breath, information is selected to be used to select the CT subgraphs at least two CT subgraphs；According to selection information, it is determined that selection letter
CT subgraphs corresponding to breath are to specify CT subgraphs.
For example, CT images are for example divided into head, chest, belly, the CT subgraphs of leg four.If user selects
Belly has been selected, then has been defined as abdominal CT subgraph specifying CT subgraphs.
In an exemplary implementation process, from the second PET data, specifying at least two CT subgraphs is obtained
PET data corresponding to CT subgraphs, before target PET data, data processing method can also include：To the first PET numbers
According to reconstruction processing is carried out, the first PET image is obtained；According at least two CT subgraphs, the first PET image is divided at least two
Individual PET subgraphs, PET subgraphs are corresponding with CT subgraphs；It is right according to each CT subgraphs PET subgraphs corresponding with its
Row information identification is entered at position corresponding to each CT subgraphs；When recognizing specify information, it is determined that identifying the portion of specify information
CT subgraphs corresponding to position are to specify CT subgraphs.
Wherein, information identification can be focus identification.
Different organs has different typical lesions, is split by CT images and the first PET image according to organ
Afterwards, different typical lesions information can be performed to different organs to identify.Identified when in image corresponding to some organ
After lesion information, this can be identified that the organ of lesion information is defined as specifying CT subgraphs automatically.
Illustrate.Assuming that the image after CT images are split includes heart CT subgraphs, lung CT subgraph, kidney CT
Subgraph, then correspond to and the first PET image is divided into heart PET subgraphs, lung's PET subgraphs, kidney PET subgraphs.It is right
The typical lesions identification of heart is carried out in heart CT subgraphs and heart PET subgraphs, for lung CT subgraph and lung PET
Subgraph carries out the typical lesions identification of lung, and typical case's disease of kidney is carried out for kidney CT subgraphs and kidney PET subgraphs
Stove identifies.Assuming that the typical lesions of heart are have identified in heart CT subgraphs and heart PET subgraphs, it is determined that heart CT
Subgraph is to specify CT subgraphs.
In embodiment illustrated in fig. 2, the second PET data is divided into target PET data and non-targeted PET data two parts, led to
The reconstruction for setting different reconstruction parameters to carry out different stage is crossed, concern position can be directed to or organ is performed than non-interesting position
Or the reconstruction of organ higher level, so as to obtain paying close attention to the more accurate apparent image information of position or organ.
Fig. 3 is the 3rd flow example figure of data processing method provided in an embodiment of the present invention.As shown in figure 3, this implementation
In example, data processing method may include steps of：
S301, obtain the CT images and the first PET data of detected object.
S302, according to CT images, identify the profile information of detected object.
S303, according to profile information, area-of-interest is determined, and obtained in the first PET data in area-of-interest
Data, as the second PET data.
S304, CT images are divided at least two CT subgraphs.
S305, according at least two CT subgraphs, the second PET data is divided into corresponding with least two CT subgraphs
At least two groups of PET datas.
S306, it is that every group of PET data at least two groups of PET datas sets reconstruction parameter respectively.
S307, reconstruction parameter corresponding to every group of PET data at least two groups of PET datas, respectively at least two groups
PET data carries out reconstruction processing, obtains at least two the 3rd PET topographies.
S308, fusion treatment is carried out at least two the 3rd PET topographies, obtains PET image.
In embodiment illustrated in fig. 3, directly the second PET data is divided according to the segmentation result of CT images, to division
Every group of PET data afterwards sets reconstruction parameter respectively, then carries out reconstruction processing respectively to every group of PET data.So, can be by
Required according to specific, different parts or organ for human body perform the weight of different brackets (being embodied by reconstruction parameter) respectively
Build, to obtain the PET reconstruction images of respective quality.Concern position or organ and non-interesting position can not only be directed to or organ enters
The reconstruction of row different stage, additionally it is possible to for concern position or the different significance levels of organ, also enter to concern position or organ
The reconstruction of row different stage, so as to obtain the image information for meeting different quality requirement at each position or organ.
In an exemplary implementation process, reconstruction corresponding to every group of PET data at least two groups of PET datas
Parameter, reconstruction processing is carried out at least two groups of PET datas respectively, before obtaining at least two the 3rd PET topographies, at data
Reason method can also include：It is that every group of PET data at least two groups of PET datas sets correction parameter respectively；According at least two
At least two groups of PET datas are corrected processing respectively, obtained by correction parameter corresponding to every group of PET data in group PET data
At least two groups of PET correction datas；Reconstruction parameter corresponding to every group of PET data at least two groups of PET datas, respectively to extremely
Few two groups of PET datas carry out reconstruction processing, obtain at least two the 3rd PET topographies, including：According at least two groups of PET numbers
Reconstruction parameter corresponding to every group of PET data in, reconstruction processing is carried out at least two groups of PET correction datas respectively, obtain to
Few two the 3rd PET topographies.
In the present embodiment, before reconstruction, for PET data corresponding to Different Organs or position, different corrections is used
Parameter is corrected, i.e., Different Organs or position are performed with the Data correction of differentiation.So, organ that can be to concern or portion
Position perform than non-interesting organ or position higher level correction, and can according to the organ of concern or the significance level at position,
The rank of correction is adjusted, to meet the needs of concrete application.
Data processing method provided in an embodiment of the present invention, by obtaining the CT images and the first PET data of detected object,
According to CT images, the profile information of detected object is identified, according to profile information, determines area-of-interest, and obtain the first PET numbers
Data in area-of-interest, as the second PET data, based on the second PET data, image reconstruction process is carried out,
PET image is obtained, the profile information of detected object, then the profile information by detected object are determined using the CT images of detected object
Determine area-of-interest so that area-of-interest is corresponding with the specific profile of each detected object, reduces area-of-interest
Size, so as to reduce the data volume of the PET data needed for the PET image reconstruction determined as area-of-interest, and then shorten
The processing time rebuild, improve treatment effeciency.
The embodiment of the present invention additionally provides a kind of data processing equipment, and the data processing equipment can realize previous embodiment
Each step of middle data processing method.
Fig. 4 is the 4th flow example figure of data processing method provided in an embodiment of the present invention.As shown in figure 4, this implementation
In example, data processing method may include steps of：
S401, obtain the CT images and the first PET data of detected object.
S402, area-of-interest is determined on the CT images, and first is obtained according to the positional information of the first PET data
Data in PET data in the area-of-interest, as the second PET data.
S403, based on second PET data, image reconstruction process is carried out, obtains PET image.
S404, CT images and PET image are subjected to fusion treatment.
Wherein, the first PET data of detected object can include：One in scan data, positional information, sweep parameter etc.
Kind is a variety of.Scanning area corresponding to first PET data can be more than area-of-interest, might be less that or equal to region of interest
Domain.
In an exemplary implementation process, scanning area corresponding to the first PET data is more than area-of-interest, at this
In the case of kind, it can be obtained according to the positional information of the first PET data in the first PET data in the area-of-interest
Data, as the second PET data.Wherein, the area of the area-of-interest can be less than the 50% of CT images.
Fig. 5 is the functional block diagram of data processing equipment provided in an embodiment of the present invention.As shown in figure 5, in the present embodiment,
Data processing equipment includes：
Acquisition module 510, for obtaining the CT images and the first PET numbers of detected object.
Outline identification module 520, for according to CT images, identifying the profile information of detected object.
Determining module 530, for according to profile information, determining area-of-interest, and obtain in the first PET data in sense
Data in interest region, as the second PET data.
Module 540 is rebuild, for based on the second PET data, carrying out image reconstruction process, obtaining PET image.
In an exemplary implementation process, module 540 is rebuild for based on the second PET data, carrying out image weight
Build, when obtaining PET image, be used for：CT images are divided at least two CT subgraphs；From the second PET data, obtain at least
PET data corresponding to specified CT subgraphs in two CT subgraphs, as target PET data；The is set for target PET data
One reconstruction parameter, it is that the non-targeted PET data in the second PET data in addition to target PET data sets the second reconstruction parameter；Root
Reconstruction processing is carried out to target PET data according to the first reconstruction parameter, obtains the first PET topographies, and rebuild according to second
Parameter carries out reconstruction processing to non-targeted PET data, obtains the 2nd PET topographies；To the first PET topographies and second
PET topographies carry out fusion treatment, obtain PET image.
In an exemplary implementation process, data processing equipment can also include：Receiving module, selected for receiving
Information, information is selected to be used to select the CT subgraphs at least two CT subgraphs；First determining module, for basis
Information is selected, it is determined that CT subgraphs corresponding to selection information are specified CT subgraphs.
In an exemplary implementation process, data processing equipment can also include：It is pre- to rebuild module, for first
PET data carries out reconstruction processing, obtains the first PET image；Split module, for according at least two CT subgraphs, by first
PET image is divided at least two PET subgraphs, and PET subgraphs are corresponding with the CT subgraphs；Information identification module, use
According to each CT subgraphs PET subgraphs corresponding with its, row information identification is entered to position corresponding to each CT subgraphs；The
Two determining modules, for when recognizing specify information, it is determined that identifying CT subgraphs corresponding to the position of specify information to refer to
Determine CT subgraphs.
In an exemplary implementation process, module 540 is rebuild for based on the second PET data, carrying out image weight
Build, when obtaining PET image, be used for：CT images are divided at least two CT subgraphs；, will according at least two CT subgraphs
Second PET data is divided at least two groups of PET datas corresponding with least two CT subgraphs；It is at least two groups of PET datas
Every group of PET data reconstruction parameter is set respectively；Ginseng is rebuild corresponding to every group of PET data at least two groups of PET datas
At least two groups of PET datas are carried out reconstruction processing respectively, obtain at least two the 3rd PET topographies by number；To at least two
Three PET topographies carry out fusion treatment, obtain PET image.
In an exemplary implementation process, data processing equipment can also include：Odd number setup module is corrected, is used for
It is that every group of PET data at least two groups of PET datas sets correction parameter respectively；Correction module, for according at least two groups of PET
Correction parameter corresponding to every group of PET data in data, processing is corrected at least two groups of PET datas respectively, obtained at least
Two groups of PET correction datas；Module 540 is rebuild for reconstruction corresponding to every group of PET data at least two groups of PET datas
Parameter, reconstruction processing is carried out at least two groups of PET datas respectively, when obtaining at least two the 3rd PET topographies, is used for：Root
According to reconstruction parameter corresponding to every group of PET data at least two groups of PET datas, at least two groups of PET correction datas are carried out respectively
Reconstruction is handled, and obtains at least two the 3rd PET topographies.
The data processing method being able to carry out due to the data processing equipment in the present embodiment in previous embodiment, this implementation
The part that example is not described in detail, refers to the related description to data processing method in previous embodiment.
Data processing equipment provided in an embodiment of the present invention, by obtaining the CT images and the first PET data of detected object,
According to CT images, the profile information of detected object is identified, according to profile information, determines area-of-interest, and obtain the first PET numbers
Data in area-of-interest, as the second PET data, based on the second PET data, image reconstruction process is carried out,
PET image is obtained, the profile information of detected object, then the profile information by detected object are determined using the CT images of detected object
Determine area-of-interest so that area-of-interest is corresponding with the specific profile of each detected object, reduces area-of-interest
Size, so as to reduce the data volume of the PET data needed for the PET image reconstruction determined as area-of-interest, and then shorten
The processing time rebuild, improve treatment effeciency.
The embodiment of the present invention also provides a kind of data processing equipment, and the equipment includes：Processor；Can for storing processor
The memory of execute instruction；Processor is configured as：Obtain the CT images and the first PET data of detected object；According to CT images,
Identify the profile information of detected object；According to profile information, area-of-interest is determined, and is obtained in the first PET data in sense
Data in interest region, as the second PET data；Based on the second PET data, image reconstruction process is carried out, obtains PET figures
Picture.
Wherein, data processing equipment can be PET/CT equipment.
Fig. 6 is the simplified block diagram of data processing equipment provided in an embodiment of the present invention.Referring to Fig. 6, the data processing equipment
600 can include the processor 601 that be connected with one or more data storage facilities, and the data storage facility can include storing
Medium 606 and internal storage location 604.Data processing equipment 600 can also include input interface 605 and output interface 607, for
Another device or system are communicated.It is storable in internal storage location 604 or deposited by the CPU of processor 601 program code performed
In storage media 606.
Processor 601 in data processing equipment 600 calls the program for being stored in internal storage location 604 or storage medium 606
Code, perform following each step：
Obtain the CT images and the first PET data of detected object；
According to CT images, the profile information of detected object is identified；
According to profile information, area-of-interest is determined, and obtain the number in the first PET data in area-of-interest
According to as the second PET data；
Based on the second PET data, image reconstruction process is carried out, obtains PET image.
In above-described embodiment, storage medium can be read-only storage (Read-Only Memory, ROM), or readable
Write, such as hard disk, flash memory.Internal storage location can be random access memory (Random Access Memory, RAM).Internal memory
Unit can be with processor physical integration or integrated in memory or being configured to single unit.
Processor is the control centre of the said equipment (equipment is above-mentioned server or above-mentioned client), and at offer
Device is managed, for execute instruction, carries out interrupt operation, there is provided clocking capability and various other functions.Alternatively, processor bag
One or more CPU (CPU) are included, such as the CPU 0 and CPU 1 shown in Fig. 5.The said equipment includes one
Or multiple processor.Processor can be monokaryon (single CPU) processor or multinuclear (multi -CPU) processor.Unless otherwise stated,
It is described as the part of such as processor or memory for performing task and can realize as universal component, it is temporarily used for given
Time performs task, or is embodied as being manufactured specifically for the particular elements for performing the task.Terminology used herein " processor "
Refer to one or more devices, circuit and/or process cores, for processing data, such as computer program instructions.
It is storable in by the CPU of the processor program codes performed in internal storage location or storage medium.Alternatively, it is stored in
Program code in storage medium can be copied into internal storage location and be performed so as to the CPU of processor.Processor is executable at least
One kernel (such as LINUXTM、UNIXTM、WINDOWSTM、ANDROIDTM、IOSTM), it is well known that the kernel is used to pass through control
Execution, control and the communication of peripheral unit and the use of control computer device resource of other programs or process are made to control
The operation of the said equipment.
Said elements in the said equipment can be connected to each other by bus, bus such as data/address bus, address bus, control
One of bus, expansion bus and local bus or its any combination.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, the corresponding process in preceding method embodiment is may be referred to, will not be repeated here.
In several embodiments that this programme is provided, it should be understood that disclosed system, apparatus and method can be with
Realize by another way.For example, device embodiment described above is only schematical, for example, the unit
Division, only a kind of division of logic function, can there is other dividing mode, for example, multiple units or group when actually realizing
Part can combine or be desirably integrated into another system, or some features can be ignored, or not perform.It is another, it is shown
Or the mutual coupling discussed or direct-coupling or communication connection can be by some interfaces, device or unit it is indirect
Coupling or communication connection, can be electrical, mechanical or other forms.
The unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of this programme can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of hardware adds SFU software functional unit.
The preferred embodiment of this programme is the foregoing is only, not limiting this programme, all essences in this programme
God any modification, equivalent substitution and improvements done etc., should be included within the scope of this programme protection with principle.
Claims (10)
1. a kind of data processing method, it is characterised in that methods described includes：
Obtain the CT images and the first PET data of detected object；
According to the CT images, the profile information of the detected object is identified；
According to the profile information, area-of-interest is determined, and obtains and the area-of-interest is in first PET data
Interior data, as the second PET data；
Based on second PET data, image reconstruction process is carried out, obtains PET image.
2. according to the method for claim 1, it is characterised in that based on second PET data, carry out image reconstruction, obtain
To PET image, including：
The CT images are divided at least two CT subgraphs；
From second PET data, PET numbers corresponding to the specified CT subgraphs at least two CT subgraphs are obtained
According to as target PET data；
For the target PET data set the first reconstruction parameter, be second PET data in except the target PET data it
Outer non-targeted PET data sets the second reconstruction parameter；
Reconstruction processing is carried out to the target PET data according to first reconstruction parameter, obtains the first PET topographies, with
And reconstruction processing is carried out to the non-targeted PET data according to second reconstruction parameter, obtain the 2nd PET topographies；
Fusion treatment is carried out to the first PET topographies and the 2nd PET topographies, obtains PET image.
3. according to the method for claim 2, it is characterised in that from second PET data, obtain described at least two
PET data corresponding to specified CT subgraphs in CT subgraphs, before target PET data, methods described also includes：
Selection information is received, the selection information is used to select the CT subgraphs at least two CT subgraphs；
According to the selection information, CT subgraphs corresponding to the selection information are determined to specify CT subgraphs.
4. according to the method for claim 2, it is characterised in that from second PET data, obtain described at least two
PET data corresponding to specified CT subgraphs in CT subgraphs, before target PET data, methods described also includes：
Reconstruction processing is carried out to first PET data, obtains the first PET image；
According at least two CT subgraphs, first PET image is divided at least two PET subgraphs, the PET
Subgraph is corresponding with the CT subgraphs；
According to each CT subgraphs PET subgraphs corresponding with its, row information is entered to position corresponding to each CT subgraphs
Identification；
When recognizing specify information, it is determined that identifying that CT subgraphs corresponding to the position of the specify information are to specify CT subgraphs
Picture.
5. according to the method for claim 1, it is characterised in that based on second PET data, carry out image reconstruction, obtain
To PET image, including：
The CT images are divided at least two CT subgraphs；
According at least two CT subgraphs, second PET data is divided into and at least two CT subgraphs pair
At least two groups of PET datas answered；
For every group of PET data at least two groups of PET datas, reconstruction parameter is set respectively；
Reconstruction parameter corresponding to every group of PET data at least two groups of PET datas, respectively to described at least two groups
PET data carries out reconstruction processing, obtains at least two the 3rd PET topographies；
Fusion treatment is carried out at least two the 3rd PET topographies, obtains PET image.
6. according to the method for claim 5, it is characterised in that according to every group of PET number at least two groups of PET datas
According to corresponding reconstruction parameter, reconstruction processing is carried out at least two groups of PET datas respectively, obtains at least two the 3rd PET offices
Before portion's image, methods described also includes：
For every group of PET data at least two groups of PET datas, correction parameter is set respectively；
Correction parameter corresponding to every group of PET data at least two groups of PET datas, respectively to described at least two groups
PET data is corrected processing, obtains at least two groups of PET correction datas；
Reconstruction parameter corresponding to every group of PET data at least two groups of PET datas, respectively to described at least two groups
PET data carries out reconstruction processing, obtains at least two the 3rd PET topographies, including：According at least two groups of PET datas
In every group of PET data corresponding to reconstruction parameter, reconstruction processing is carried out at least two groups of PET correction datas respectively, obtained
At least two the 3rd PET topographies.
7. a kind of data processing equipment, it is characterised in that described device includes：
Acquisition module, for obtaining the CT images and the first PET data of detected object；
Outline identification module, for according to the CT images, identifying the profile information of the detected object；
Determining module, for according to the profile information, determining area-of-interest, and obtain and be in first PET data
Data in the area-of-interest, as the second PET data；
Module is rebuild, for based on second PET data, carrying out image reconstruction process, obtaining PET image.
8. a kind of data processing equipment, it is characterised in that the equipment includes：
Processor；
For storing the memory of the processor-executable instruction；
The processor is configured as：
Obtain the CT images and the first PET data of detected object；
According to the CT images, the profile information of the detected object is identified；
According to the profile information, area-of-interest is determined, and obtains and the area-of-interest is in first PET data
Interior data, as the second PET data；
Based on second PET data, image reconstruction process is carried out, obtains PET image.
9. a kind of data processing method, it is characterised in that methods described includes：
Obtain the CT images and the first PET data of detected object；
Area-of-interest is determined on the CT images, and is obtained according to the positional information of the first PET data in the first PET data
Data in the area-of-interest, as the second PET data；
Based on second PET data, image reconstruction process is carried out, obtains PET image；
CT images and PET image are subjected to fusion treatment.
10. according to the method for claim 9, it is characterised in that the area of the area-of-interest is less than CT images
50%.
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