CN110215228B - PET reconstruction attenuation correction method, system, readable storage medium and apparatus - Google Patents
PET reconstruction attenuation correction method, system, readable storage medium and apparatus Download PDFInfo
- Publication number
- CN110215228B CN110215228B CN201910501832.4A CN201910501832A CN110215228B CN 110215228 B CN110215228 B CN 110215228B CN 201910501832 A CN201910501832 A CN 201910501832A CN 110215228 B CN110215228 B CN 110215228B
- Authority
- CN
- China
- Prior art keywords
- pet
- images
- image
- reconstruction
- attenuation
- 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
Links
- 238000012937 correction Methods 0.000 title claims abstract description 81
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000002591 computed tomography Methods 0.000 claims description 39
- 238000013507 mapping Methods 0.000 claims description 19
- 238000009499 grossing Methods 0.000 claims description 9
- 238000003384 imaging method Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 5
- 230000000007 visual effect Effects 0.000 description 5
- 230000035945 sensitivity Effects 0.000 description 4
- 239000013078 crystal Substances 0.000 description 3
- 210000000056 organ Anatomy 0.000 description 3
- 210000001015 abdomen Anatomy 0.000 description 2
- 230000002238 attenuated effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000000295 complement effect Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000012879 PET imaging Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000001627 detrimental effect Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000002059 diagnostic imaging Methods 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000009206 nuclear medicine Methods 0.000 description 1
- 238000002600 positron emission tomography Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computed tomography [CT]
- A61B6/037—Emission tomography
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
- A61B6/5229—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image
- A61B6/5235—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image combining images from the same or different ionising radiation imaging techniques, e.g. PET and CT
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Radiology & Medical Imaging (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Optics & Photonics (AREA)
- Pathology (AREA)
- Physics & Mathematics (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- High Energy & Nuclear Physics (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Apparatus For Radiation Diagnosis (AREA)
Abstract
The application relates to a PET reconstruction attenuation correction method, a system, a readable storage medium and equipment, which belong to the technical field of medical images, a plurality of CT images related to PET reconstruction areas are spliced to obtain spliced CT images for carrying out attenuation correction on PET image reconstruction.
Description
Technical Field
The application relates to the technical field of medical imaging, in particular to a PET reconstruction attenuation correction method, a PET reconstruction attenuation correction system, a readable storage medium and a PET reconstruction attenuation correction device.
Background
PET (Positron Emission Tomography, positron emission computed tomography) is a relatively advanced clinical examination imaging technique in the field of nuclear medicine, and is now widely used for diagnosis and research in the medical field.
During PET reconstruction of an image, it is necessary to acquire attenuation information of the region through which the data line passes, which attenuation information can be provided by CT (Computed Tomography, electronic computed tomography) images. The axial field of view of the PET systems on the current market is very short, and the CT scanning field of view and the PET scanning field of view are generally in one-to-one correspondence.
For a PET system with a longer axial distance, in many cases, CT scanning with the whole axial distance cannot be performed at one time, so that the accuracy of attenuation information of a region where acquired data accords with a line is reduced, and PET reconstruction imaging is affected.
Disclosure of Invention
Based on this, it is necessary to provide a PET reconstruction attenuation correction method, system, readable storage medium and apparatus for the problem that it is difficult to perform CT scans for a full axial distance length at one time for a long axial PET system, which is insufficient to provide accurate attenuation information, affecting PET reconstruction imaging.
A PET reconstruction attenuation correction method comprising the steps of:
acquiring a PET reconstruction region, and acquiring a plurality of CT images related to the PET reconstruction region;
splicing the plurality of CT images to obtain spliced CT images;
and performing attenuation correction on the PET image reconstruction according to the spliced CT images.
According to the PET reconstruction attenuation correction method, the plurality of CT images related to the PET reconstruction region are spliced to obtain the spliced CT images for carrying out attenuation correction on PET image reconstruction.
In one embodiment, the step of acquiring the PET reconstruction region comprises the steps of:
acquiring a PET reconstruction region according to the PET scanning protocol type;
or acquiring a CT positioning image, and acquiring a PET reconstruction region according to the CT positioning image.
In one embodiment, the step of acquiring the PET reconstruction region further comprises the steps of:
and obtaining the maximum oblique angle of the coincidence line of the PET scanning, and correcting the PET reconstruction area according to the maximum oblique angle.
In one embodiment, the step of acquiring a plurality of CT images associated with the PET reconstruction region further comprises the steps of:
CT images of different body positions and parameters are acquired according to a PET scanning protocol; and selecting the CT images from the CT images with different body positions and parameters, wherein the scanning areas of the CT images are overlapped with the PET reconstruction area respectively.
In one embodiment, the step of acquiring a plurality of CT images associated with the PET reconstruction region further comprises the steps of:
acquiring a combined region of scanning regions of a plurality of CT images;
and acquiring a first region which is not covered by the combined region in the PET reconstruction region, and carrying out CT scanning of a preset dose on the first region to obtain a CT image of the first region.
In one embodiment, the step of stitching the plurality of CT images comprises the steps of:
and selecting CT images according to the priorities for stitching, wherein the priority of the CT image with large coverage area is higher than the priority of the CT image with small coverage area, and the priority of the CT images in the combined area is higher than the priority of the CT images in the first area.
In one embodiment, the step of stitching the plurality of CT images to obtain a stitched CT image and performing attenuation correction on the PET image reconstruction from the stitched CT image includes the steps of:
acquiring a bed code value according to the whole range information of each selected CT image;
setting a mapping relation between the PET reconstruction area and the CT image area according to the bed code value;
after selecting CT images according to the priority, interpolating the CT images selected in sequence into consistent pixel images, mapping CT values in the consistent pixel images to PET attenuation information according to CT scanning parameters and a mapping relation, and performing smoothing operation on the PET attenuation information to obtain each PET attenuation image;
and splicing different PET attenuation images according to the bed code value to obtain a spliced attenuation image, and carrying out attenuation correction on PET image reconstruction according to the spliced attenuation image.
A PET reconstruction attenuation correction system, comprising:
an image acquisition unit for acquiring a PET reconstruction view field and acquiring a plurality of CT images related to the PET reconstruction view field;
the image stitching unit is used for stitching the plurality of CT images to obtain stitched CT images;
and the attenuation correction unit is used for carrying out attenuation correction on the PET image reconstruction according to the spliced CT images.
According to the PET reconstruction attenuation correction system, the image acquisition unit acquires a plurality of CT images related to a PET reconstruction visual field, the image splicing unit splices the CT images related to a PET reconstruction area to acquire spliced CT images, and the attenuation correction unit carries out attenuation correction on PET image reconstruction by using the spliced CT images.
In one embodiment, the image acquisition unit is configured to acquire a PET reconstruction region according to a PET scan protocol type; or acquiring a CT positioning image, and acquiring a PET reconstruction region according to the CT positioning image.
In one embodiment, the image acquisition unit is configured to acquire a maximum oblique angle of the line of coincidence of the PET scan, and to modify the PET reconstruction region according to the maximum oblique angle.
In one embodiment, the image acquisition unit is used for acquiring CT images of different body positions and parameters according to a PET scanning protocol; and selecting the CT images from the CT images with different body positions and parameters, wherein the scanning areas of the CT images are overlapped with the PET reconstruction area respectively.
In one embodiment, the image acquisition unit is configured to acquire a combined region of scan regions of a plurality of CT images; and acquiring a first region which is not covered by the combined region in the PET reconstruction region, and carrying out CT scanning of a preset dose on the first region to obtain a CT image of the first region.
In one embodiment, the image stitching unit is configured to select CT images according to the priority, where the priority of the CT image area coverage is higher than the priority of the CT image area coverage is smaller, and the priority of the CT image in the combined area is higher than the priority of the CT image in the first area.
In one embodiment, the image stitching unit is configured to obtain a bed code value according to the overall range information of each selected CT image; setting a mapping relation between the PET reconstruction area and the CT image area according to the bed code value; after selecting CT images according to the priority, interpolating the CT images selected in sequence into consistent pixel images, mapping CT values in the consistent pixel images to PET attenuation information according to CT scanning parameters and a mapping relation, and performing smoothing operation on the PET attenuation information to obtain each PET attenuation image; splicing different PET attenuation images according to the bed code value to obtain a spliced attenuation image;
the attenuation correction unit is used for carrying out attenuation correction on the PET image reconstruction according to the spliced attenuation images.
A readable storage medium having stored thereon an executable program which when executed by a processor performs the steps of the PET reconstruction attenuation correction method described above.
According to the readable storage medium, through the stored executable program, the PET equipment corresponding to the long axial direction can be realized, a plurality of CT images can be spliced to be used as an attenuation chart, attenuation information in a larger range is obtained, the accuracy of the attenuation information of the PET acquisition data conforming to the line passing region is improved, and the PET reconstruction with high sensitivity is realized.
A PET reconstruction attenuation correction device comprises a memory and a processor, wherein the memory stores an executable program, and the processor realizes the steps of the PET reconstruction attenuation correction method when executing the executable program.
According to the PET reconstruction attenuation correction device, the executable program is run on the processor, so that the PET device corresponding to the long axial direction can be realized, a plurality of CT images can be spliced and then used as an attenuation chart, attenuation information in a large range is obtained, the accuracy of the attenuation information of the PET acquisition data line passing region is improved, and the PET reconstruction with high sensitivity is realized.
Drawings
FIG. 1 is a flow diagram of a method of PET reconstruction attenuation correction in one embodiment;
FIG. 2 is a schematic diagram of the structure of a PET reconstruction attenuation correction system in one embodiment;
fig. 3 is a schematic diagram of the working principle of the PET reconstruction attenuation correction method in an embodiment in practical application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the detailed description is presented by way of example only and is not intended to limit the scope of the application.
It should be noted that the described embodiments are only some embodiments of the present application, but not all embodiments, and all other embodiments obtained by a person skilled in the art without any inventive effort based on the embodiments in the present application are included in the scope of protection of the present application.
The terminology used in the embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The PET reconstruction attenuation correction method provided by the application can be applied to an application scene of PET scanning imaging.
Referring to fig. 1, a schematic flow chart of a PET reconstruction attenuation correction method according to an embodiment of the present application is shown. The PET reconstruction attenuation correction method in this embodiment includes the steps of:
step S110: acquiring a PET reconstruction region, and acquiring a plurality of CT images related to the PET reconstruction region;
in this step, the PET reconstruction region is a regular region covering all or part of the PET scan object, and generally, CT scan can be performed before PET scan, both scan the same object, but the scanned region ranges are different, the CT scan region and the PET scan region may overlap, and the CT image of the overlapping region may be associated with the PET reconstruction region;
step S120: splicing the plurality of CT images to obtain spliced CT images;
in the step, the CT image is an image of a certain part of a scanned object, such as a head, a chest and an abdomen, and the CT scanning range of different areas is limited, and a plurality of CT images related to a PET reconstruction area are spliced to obtain a spliced CT image with a larger CT scanning range, so that richer attenuation information can be provided for PET scanning;
step S130: and performing attenuation correction on the PET image reconstruction according to the spliced CT images.
In this step, the stitched CT image contains attenuation information of the scanned object over the entire stitched CT image range, which can be used to provide attenuation correction for PET image reconstruction.
In this embodiment, a plurality of CT images related to a PET reconstruction region are spliced to obtain a spliced CT image for performing attenuation correction on PET image reconstruction, and in this scheme, a corresponding long-axis PET device may use the spliced CT images as an attenuation map to obtain attenuation information in a larger range, improve accuracy of attenuation information of a PET acquisition data line passing region, and implement high-sensitivity PET reconstruction.
In one embodiment, the step of acquiring the PET reconstruction region comprises the steps of:
acquiring a PET reconstruction region according to the PET scanning protocol type;
or acquiring a CT positioning image, and acquiring a PET reconstruction region according to the CT positioning image.
In this embodiment, the PET reconstruction region may be determined by a PET scan protocol type or a CT positioning image, where the PET scan protocol type may be a head protocol, a chest-abdomen protocol, a whole body protocol, etc., and the reconstructed views corresponding to different PET scan protocol types are different, for example, the reconstructed views are different for the head, chest-abdomen or whole body of the scan object, and the PET reconstruction region may be set by using the PET scan protocol type; the CT positioning image (also called Topo image) can be used to identify whether the current scanning area is a tissue area including a moving organ of a human body, and according to the CT positioning image, the tissue area of the moving organ of the human body can be accurately positioned, and the tissue area can be used as a PET reconstruction area to acquire a PET image.
In one embodiment, the step of acquiring the PET reconstruction region further comprises the steps of:
and obtaining the maximum oblique angle of the coincidence line of the PET scanning, and correcting the PET reconstruction area according to the maximum oblique angle.
In this embodiment, the plurality Of detectors are disposed in the PET apparatus, the crystals in the detectors are used to detect a single photon event, the plurality Of detectors are arranged in the axial direction into a plurality Of PET units, the detectors on each PET unit are uniformly distributed in the annular direction perpendicular to the axial direction, the coincidence Line (LOR) Of the PET scan may be a coincidence Line between two detector crystals on a single PET unit, the coincidence Line is perpendicular to the axial direction, the coincidence Line Of the PET scan may also be a coincidence Line between two detector crystals on different PET units, at this time, an oblique angle is generated between Fu Gexian and the vertical axial direction, that is, an annular difference Of the coincidence Line, the PET reconstruction area is corrected by using the maximum oblique angle therein, the most sufficient area where attenuation information is required can be obtained, and a CT image in the most sufficient area is identified, so that more accurate attenuation information can be obtained.
In one embodiment, the step of acquiring a plurality of CT images associated with the PET reconstruction region further comprises the steps of:
CT images of different body positions and parameters are acquired according to a PET scanning protocol; and selecting the CT images from the CT images with different body positions and parameters, wherein the scanning areas of the CT images are overlapped with the PET reconstruction area respectively.
In this embodiment, different body positions and parameters during actual scanning can be obtained by using a PET scanning protocol, and corresponding CT images are searched for, a plurality of CT images are selected from the different body positions and parameters, the selected CT images have a scanning area overlapping with a PET reconstruction area, attenuation information can be provided for the PET reconstruction area, the plurality of CT images are selected to obtain as much attenuation information related to the PET reconstruction area as possible, and the CT images can be directly obtained from CT scanning results, which is relatively fast and simple.
Further, the CT images of different body positions and parameters acquired according to the PET scanning protocol may be CT images of a current object that has been scanned before, and the CT images of the current object may be used to provide more accurate attenuation information for the PET image.
In one embodiment, the step of acquiring a plurality of CT images associated with the PET reconstruction region further comprises the steps of:
acquiring a combined region of scanning regions of a plurality of CT images;
and acquiring a first region which is not covered by the combined region in the PET reconstruction region, and carrying out CT scanning of a preset dose on the first region to obtain a CT image of the first region.
In this embodiment, the CT image is obtained by scanning according to the requirement, the scanning area of the CT image does not correspond to the PET reconstruction area, for example, the CT image is aimed at the head and abdomen of the scanned object, the PET reconstruction area is aimed at the whole scanned object, the scanning areas of the selected CT images are combined, and the situation that the combined area cannot completely cover the PET scanning area may occur, at this time, a first area of the PET reconstruction area, which is not covered by the combined area, may be obtained, the CT scanning with a preset dose is performed on the first area, so as to obtain the CT image of the first area, the CT image may also be used as a part of the selected CT images, when the CT images are spliced, a spliced CT image covering the PET scanning area may be obtained, and when the CT image is attenuated, all the coincidence lines of the PET may be applied to the image reconstruction, so as to improve the signal to noise ratio of the PET image.
It should be noted that, in order to reduce the additional influence on the scanned object, the dose required for the CT scan is preset and adjustable, and a low dose is generally selected, for example, the low dose may be 1/5 of the normal CT dose.
In one embodiment, the step of stitching the plurality of CT images comprises the steps of:
and selecting CT images according to the priorities for stitching, wherein the priority of the CT image with large coverage area is higher than the priority of the CT image with small coverage area, and the priority of the CT images in the combined area is higher than the priority of the CT images in the first area.
In this embodiment, because the scanning parameters of different CT images are different, the more CT images are spliced, the more splicing operation is not beneficial to consistency of attenuation information, so that the coverage of the CT image area is large, the setting priority is high, the coverage is small, the setting priority is low, the priority of the CT image with preset dose is lowest, the lower preset dose than the common dose is considered, the quality of the CT image with preset dose is inferior to that of a normal CT scan image, and the CT images are sequentially selected according to the priority to splice, so as to ensure consistency of attenuation information; in addition, the coverage of the CT image area is large, the scanning visual field is large, and the phenomenon that the CT image with a small visual field is truncated by a scanning object such as a bed plate and the like can be avoided, so that the accuracy of attenuation information is influenced.
In one embodiment, the step of stitching the plurality of CT images to obtain a stitched CT image and performing attenuation correction on the PET image reconstruction from the stitched CT image comprises the steps of:
acquiring a bed code value according to the whole range information of each selected CT image;
setting a mapping relation between the PET reconstruction area and the CT image area according to the bed code value;
after selecting CT images according to the priority, interpolating the CT images selected in sequence into consistent pixel images, mapping CT values in the consistent pixel images to PET attenuation information according to CT scanning parameters and a mapping relation, and performing smoothing operation on the PET attenuation information to obtain each PET attenuation image;
and splicing different PET attenuation images according to the bed code value to obtain a spliced attenuation image, and carrying out attenuation correction on PET image reconstruction according to the spliced attenuation image.
In this embodiment, the stitching of the selected CT images is performed to obtain attenuation information corresponding to the PET reconstruction region; when CT scanning imaging is carried out, corresponding bed code values are recorded for each layer of image, the whole range information of the CT image corresponds to a series of bed code values, the PET reconstruction area also has corresponding bed code values, and the mapping relation between the PET reconstruction area and the CT image area can be established by utilizing the bed code values; after selecting CT images according to the priority, interpolating the CT images to consistent pixel images, ensuring that CT images with different scanning parameters and reconstruction parameters have close attenuation information, mapping CT values in the consistent pixel images to PET attenuation information according to the CT scanning parameters and the mapping relation, performing smoothing operation, and improving the continuity of the attenuation information, so that each PET attenuation image is obtained, bed code values corresponding to different PET attenuation images are different, different PET attenuation images can be spliced by utilizing the sequence of the bed code values, spliced attenuation images are obtained, and further attenuation correction is performed on PET image reconstruction.
Further, in the process of acquiring the bed code value according to the whole range information of each selected CT image, the bed code value range of each CT image can be determined according to the whole range information of each CT image, the maximum bed code value and the minimum bed code value are determined from each bed code value range, and CT images are arranged at any position between the maximum bed code value and the minimum bed code value due to CT scanning of preset dose;
furthermore, in the splicing process, the consistency of different attenuation image information of the overlapped parts between the PET attenuation images also needs to be considered, and the overlapped parts can be combined by adopting corresponding weights.
According to the above-mentioned PET reconstruction attenuation correction method, the embodiment of the present application further provides a PET reconstruction attenuation correction system, and the following details about the embodiment of the PET reconstruction attenuation correction system are described.
Referring to FIG. 2, a schematic diagram of the structure of a PET reconstruction attenuation correction system according to one embodiment is shown. The PET reconstruction attenuation correction system in this embodiment includes:
an image acquisition unit 210 for acquiring a PET reconstruction view, and acquiring a plurality of CT images related to the PET reconstruction view;
an image stitching unit 220, configured to stitch the plurality of CT images to obtain a stitched CT image;
an attenuation correction unit 230 is used for performing attenuation correction on the PET image reconstruction according to the spliced CT image.
In this embodiment, the image acquisition unit 210 acquires a plurality of CT images related to the PET reconstruction field of view, the image stitching unit 220 stitches the plurality of CT images related to the PET reconstruction region to acquire stitched CT images, and the attenuation correction unit 230 performs attenuation correction on the PET image reconstruction by using the stitched CT images.
In one embodiment, the image acquisition unit 210 is configured to acquire a PET reconstruction region according to a PET scan protocol type; or acquiring a CT positioning image, and acquiring a PET reconstruction region according to the CT positioning image.
In one embodiment, the image acquisition unit 210 is configured to acquire a maximum oblique angle of the line of coincidence of the PET scan, and to modify the PET reconstruction region based on the maximum oblique angle.
In one embodiment, the image acquisition unit 210 is configured to acquire CT images of different body positions and parameters according to a PET scanning protocol; and selecting the CT images from the CT images with different body positions and parameters, wherein the scanning areas of the CT images are overlapped with the PET reconstruction area respectively.
In one embodiment, the image acquisition unit 210 is configured to acquire a combined region of scan regions of a plurality of CT images; and acquiring a first region which is not covered by the combined region in the PET reconstruction region, and carrying out CT scanning of a preset dose on the first region to obtain a CT image of the first region.
In one embodiment, the image stitching unit 220 is configured to select CT images according to a priority for stitching, where a priority of a CT image area coverage is higher than a priority of a CT image area coverage is smaller, and a priority of a CT image in a combined area is higher than a priority of a CT image in a first area.
In one embodiment, the image stitching unit 220 is configured to obtain a bed code value according to the whole range information of each selected CT image; setting a mapping relation between the PET reconstruction area and the CT image area according to the bed code value; after selecting CT images according to the priority, interpolating the CT images selected in sequence into consistent pixel images, mapping CT values in the consistent pixel images to PET attenuation information according to CT scanning parameters and a mapping relation, and performing smoothing operation on the PET attenuation information to obtain each PET attenuation image; splicing different PET attenuation images according to the bed code value to obtain a spliced attenuation image;
the attenuation correction unit 230 is used for performing attenuation correction on the PET image reconstruction according to the spliced attenuation images.
The PET reconstruction attenuation correction system and the PET reconstruction attenuation correction method in the embodiment of the application are in one-to-one correspondence, and the technical characteristics and the beneficial effects described in the embodiment of the PET reconstruction attenuation correction method are applicable to the embodiment of the PET reconstruction attenuation correction system.
A readable storage medium having stored thereon an executable program which when executed by a processor performs the steps of the PET reconstruction attenuation correction method described above.
According to the readable storage medium, through the stored executable program, the PET equipment corresponding to the long axial direction can be realized, a plurality of CT images can be spliced to be used as an attenuation chart, attenuation information in a larger range is obtained, the accuracy of the attenuation information of the PET acquisition data conforming to the line passing region is improved, and the PET reconstruction with high sensitivity is realized.
A PET reconstruction attenuation correction device comprises a memory and a processor, wherein the memory stores an executable program, and the processor realizes the steps of the PET reconstruction attenuation correction method when executing the executable program.
According to the PET reconstruction attenuation correction device, the executable program is run on the processor, so that the PET device corresponding to the long axial direction can be realized, a plurality of CT images can be spliced and then used as an attenuation chart, attenuation information in a large range is obtained, the accuracy of the attenuation information of the PET acquisition data line passing region is improved, and the PET reconstruction with high sensitivity is realized.
Those skilled in the art will appreciate that implementing all or part of the above described embodiments of the methods for PET reconstruction attenuation correction may be accomplished by computer programs to instruct the associated hardware, and that the programs may be stored on a non-volatile computer readable storage medium, such as a storage medium of a computer system, and executed by at least one processor in the computer system to implement the processes including embodiments of the methods for PET reconstruction attenuation correction as described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), or the like.
In one embodiment, the PET reconstruction attenuation correction method can be applied to a scene of PET scanning imaging, and attenuation information is provided for PET imaging to carry out attenuation correction.
Different CT scans are performed on different parts of the body according to clinical needs, including low dose attenuated CT and the like.
The PET reconstruction region may be set autonomously based on the TOPO image, or may be set by default according to a protocol type system, such as a thoracoabdominal protocol, and the system identifies a corresponding region according to the TOPO image, and a CT positioning image (also referred to as TOPO image) is used to identify whether the current scan region is a tissue region including a moving organ of a human body.
And automatically identifying all available CT scanning data according to the PET reconstruction region, setting priority according to CT scanning and reconstruction parameters, and executing splicing operation to realize high-sensitivity PET image reconstruction.
All available CT scan data are CT image data that have been scanned, the CT images are DICOM (Digital Imaging and Communication in Medicine, digital imaging and communication) format images, PET reconstruction performs reconstruction based on LOR coincidence lines, attenuation information of the LOR coincidence lines through the region is required during reconstruction, which information is provided by the CT images. The most adequate region of the desired attenuation information is obtained from the PET reconstruction region and the maximum oblique angle (loop difference) of the LOR, and then the CT image contained in this region is identified.
And a low-dose CT scanning plan is given corresponding to the part without the existing CT image in the most sufficient area, and attenuation information of the missing part is supplemented, so that all LORs can be applied to reconstruction, and the signal-to-noise ratio of the image is improved.
Due to the differences in scan parameters of different CTs, excessive stitching operations are detrimental to uniformity of attenuation information. The CT image with the largest coverage area has the highest priority, the low-dose CT image has the lowest priority, and the quality of the low-dose CT image is inferior to that of a normal CT scanning image in consideration of the reduction of the dose. In addition, the CT scanning images with large scanning visual Field (FOV) have high priority, so that the phenomenon that the CT images with small FOV are truncated by a scanning object such as a bed plate and the like is avoided, and the accuracy of attenuation information is influenced.
The scheme supports the input of a plurality of CT images, and the CT images need to be spliced. The input of the CT image is a DICOM image, and the bed code value corresponding to the current CT image is recorded in each layer of CT image, so that the maximum and minimum bed code values are obtained firstly based on the information of the whole range of the existing CT, the PET scanning also has the corresponding bed codes, and the PET reconstruction FOV and the CT image FOV are mapped according to the bed code range determined by the maximum and minimum bed code values and the PET scanning bed code setting. According to the priority of the CT images given before, the CT images are sequentially read, so as to ensure that the CT images with different scanning parameters and reconstruction parameters give near attenuation information, the CT images are firstly interpolated into consistent pixel images, CT values are mapped to PET attenuation information according to CT scanning parameters (Kev), the PET attenuation images are obtained, after smoothing operation is carried out, splicing operation is carried out on the different PET attenuation images based on bed code information, the information consistency of the different attenuation images of the overlapped part is considered in the splicing, and the images are combined based on weight.
As shown in fig. 3, a plurality of related existing CT images are automatically identified from the selected PET reconstruction view and a low dose CT scan plan is given.
Specifically, the existing CT image in fig. 3 includes a head CT image and a body CT image (in a dashed line frame), a reconstruction region (in a solid line frame) of the PET scan may be selected as required, and considering a maximum oblique angle of the LOR, attenuation information required for the PET reconstruction region may be extended to regions above the head and below the foot of the scanned object, and low-dose CT scanning may be performed in the two regions to obtain a low-dose supplementary scan CT image; the region range of the CT image of the body part is maximum, the visual field is maximum, and the priority is first; the head CT images have the second priority, the foot complementary scanning CT images have the third priority, and the head complementary scanning CT images have the fourth priority; and sequentially selecting corresponding CT images according to the priority, performing stitching, merging overlapped parts (head CT images and body CT images) based on weights, and performing smoothing treatment to obtain stitched attenuation images for attenuation correction of the PET images.
In the reconstruction process, according to each CT scanning and reconstruction parameter, the scanning object comprises a range and the like, a plurality of CT priorities are sequenced, splicing operation is carried out, and the combined CT images are input for PET attenuation correction; corresponding to a long axial PET system, a plurality of CT fusion images can be used as attenuation diagrams, so that the CT paying-off length and energy are reduced, the dose radiation of a scanning object is reduced, and the service life of a ball house is prolonged.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in implementing the methods of the embodiments described above may be implemented by programming instructions associated with hardware. The program may be stored in a readable storage medium. The program, when executed, comprises the steps of the method described above. The storage medium includes: ROM/RAM, magnetic disks, optical disks, etc.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (10)
1. A method for PET reconstruction attenuation correction comprising the steps of:
acquiring a PET reconstruction region, and acquiring a plurality of CT images related to the PET reconstruction region;
splicing the plurality of CT images to obtain spliced CT images;
performing attenuation correction on PET image reconstruction according to the spliced CT images;
the step of splicing the plurality of CT images to obtain a spliced CT image and carrying out attenuation correction on PET image reconstruction according to the spliced CT image comprises the following steps:
acquiring a bed code value according to the whole range information of each selected CT image;
setting a mapping relation between a PET reconstruction area and a CT image area according to the bed code value;
after CT images are selected according to the priority, the CT images which are sequentially selected are interpolated into consistent pixel images, CT values in the consistent pixel images are mapped to PET attenuation information according to CT scanning parameters and the mapping relation, and smoothing operation is carried out on the PET attenuation information to obtain each PET attenuation image;
and splicing different PET attenuation images according to the bed code value to obtain a spliced attenuation image, and carrying out attenuation correction on PET image reconstruction according to the spliced attenuation image.
2. The PET reconstruction attenuation correction method of claim 1, wherein said step of acquiring a PET reconstruction region comprises the steps of:
acquiring the PET reconstruction region according to a PET scanning protocol type;
or acquiring a CT positioning image, and acquiring the PET reconstruction region according to the CT positioning image.
3. The PET reconstruction attenuation correction method of claim 2, wherein said step of acquiring a PET reconstruction region further comprises the steps of:
and obtaining the maximum oblique angle of the PET scanning conforming line, and correcting the PET reconstruction area according to the maximum oblique angle.
4. The PET reconstruction attenuation correction method of claim 1, wherein said step of acquiring a plurality of CT images associated with said PET reconstruction region further comprises the steps of:
CT images of different body positions and parameters are acquired according to a PET scanning protocol; and selecting the CT images from the CT images with different body positions and parameters, wherein the scanning areas of the CT images are respectively overlapped with the PET reconstruction area.
5. The PET reconstruction attenuation correction method of claim 4, wherein said step of acquiring a plurality of CT images associated with said PET reconstruction region further comprises the steps of:
acquiring a combined region of the scanning regions of the plurality of CT images;
and acquiring a first region which is not covered by the combined region in the PET reconstruction region, and carrying out CT scanning of a preset dose on the first region to acquire a CT image of the first region.
6. The PET reconstruction attenuation correction method according to claim 5, wherein said step of stitching said plurality of CT images comprises the steps of:
and selecting CT images according to the priority to splice, wherein the priority of the CT image area coverage is higher than the priority of the CT image area coverage is lower, and the priority of the CT images in the combined area is higher than the priority of the CT images in the first area.
7. A PET reconstruction attenuation correction system, comprising:
an image acquisition unit for acquiring a PET reconstruction view, and acquiring a plurality of CT images related to the PET reconstruction view;
the image stitching unit is used for stitching the plurality of CT images to obtain stitched CT images;
the attenuation correction unit is used for carrying out attenuation correction on PET image reconstruction according to the spliced CT images;
the image stitching unit is also used for acquiring a bed code value according to the whole range information of each selected CT image; setting a mapping relation between a PET reconstruction area and a CT image area according to the bed code value; after CT images are selected according to the priority, the CT images which are sequentially selected are interpolated into consistent pixel images, CT values in the consistent pixel images are mapped to PET attenuation information according to CT scanning parameters and the mapping relation, and smoothing operation is carried out on the PET attenuation information to obtain each PET attenuation image; splicing different PET attenuation images according to the bed code value to obtain a spliced attenuation image;
the attenuation correction unit is also used for carrying out attenuation correction on PET image reconstruction according to the spliced attenuation images.
8. The PET reconstruction attenuation correction system of claim 7, wherein said image acquisition unit is further configured to acquire said PET reconstruction region according to a PET scan protocol type; or acquiring a CT positioning image, and acquiring the PET reconstruction region according to the CT positioning image.
9. A readable storage medium having stored thereon an executable program, wherein the executable program when executed by a processor implements the steps of the PET reconstruction attenuation correction method according to any one of claims 1 to 6.
10. A PET reconstruction attenuation correction device comprising a memory and a processor, said memory storing an executable program, characterized in that said processor, when executing said executable program, implements the steps of the PET reconstruction attenuation correction method according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910501832.4A CN110215228B (en) | 2019-06-11 | 2019-06-11 | PET reconstruction attenuation correction method, system, readable storage medium and apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910501832.4A CN110215228B (en) | 2019-06-11 | 2019-06-11 | PET reconstruction attenuation correction method, system, readable storage medium and apparatus |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110215228A CN110215228A (en) | 2019-09-10 |
| CN110215228B true CN110215228B (en) | 2023-09-05 |
Family
ID=67816520
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910501832.4A Active CN110215228B (en) | 2019-06-11 | 2019-06-11 | PET reconstruction attenuation correction method, system, readable storage medium and apparatus |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110215228B (en) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110664421A (en) * | 2019-10-14 | 2020-01-10 | 上海联影医疗科技有限公司 | Method and device for determining scanning dose, medical equipment and storage medium |
| CN110742632B (en) * | 2019-10-24 | 2023-11-07 | 上海联影医疗科技股份有限公司 | PET image attenuation correction method and PET-CT equipment |
| CN110889819B (en) * | 2019-11-29 | 2023-04-28 | 上海联影医疗科技股份有限公司 | Medical image scanning method, device, equipment and storage medium |
| CN110960241A (en) * | 2019-12-09 | 2020-04-07 | 上海联影医疗科技有限公司 | Method and device for determining scanning parameters of medical image scanning and computer equipment |
| CN111544022B (en) * | 2020-05-13 | 2023-11-28 | 上海联影医疗科技股份有限公司 | PET attenuation correction method and device and computer equipment |
| CN111700633A (en) * | 2020-06-28 | 2020-09-25 | 上海联影医疗科技有限公司 | PET image attenuation correction method, PET image attenuation correction device, computer equipment and readable storage medium |
| CN112826522B (en) * | 2020-12-30 | 2023-07-25 | 上海联影医疗科技股份有限公司 | Method and system for displaying attenuation information of multi-mode medical scanning system |
| CN112767511A (en) * | 2021-01-28 | 2021-05-07 | 东软医疗***股份有限公司 | PET image acquisition method and device |
| CN112862772B (en) * | 2021-01-29 | 2023-08-08 | 上海联影医疗科技股份有限公司 | Image quality evaluation method, PET-MR system, electronic device, and storage medium |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009047602A (en) * | 2007-08-21 | 2009-03-05 | Toshiba Corp | Positron emission computerd tomograph, attenuation map creating device, and attenuation map creating program |
| CN102027507A (en) * | 2008-05-15 | 2011-04-20 | 皇家飞利浦电子股份有限公司 | Using non-attenuation corrected PET emission images to compensate for incomplete anatomic images |
| JP2011092554A (en) * | 2009-10-30 | 2011-05-12 | Toshiba Corp | Pet-ct apparatus |
| CN102124361A (en) * | 2008-08-15 | 2011-07-13 | 皇家飞利浦电子股份有限公司 | Attenuation correction for PET or SPECT nuclear imaging systems using magnetic resonance spectroscopic image data |
| CN102316807A (en) * | 2009-02-17 | 2012-01-11 | 皇家飞利浦电子股份有限公司 | Visual field based on model in the nuclear imaging is expanded |
| CN103329168A (en) * | 2011-01-27 | 2013-09-25 | 皇家飞利浦电子股份有限公司 | Truncation compensation for iterative cone-beam CT reconstruction for SPECT/CT systems |
| CN104751502A (en) * | 2015-04-17 | 2015-07-01 | 北京锐视康科技发展有限公司 | CT (computed tomography) image reconstruction method for expanding vision |
| CN105976413A (en) * | 2016-06-28 | 2016-09-28 | 明峰医疗***股份有限公司 | Method and device for obtaining PET linear attenuation coefficient based on CT image |
| CN106491151A (en) * | 2016-01-25 | 2017-03-15 | 上海联影医疗科技有限公司 | PET image acquisition methods and system |
| CN106491153A (en) * | 2016-12-29 | 2017-03-15 | 上海联影医疗科技有限公司 | A kind of PET scatter correction methods, PET imaging methods and PET imaging systems |
| CN106691487A (en) * | 2017-01-05 | 2017-05-24 | 沈阳东软医疗***有限公司 | Imaging method and imaging system |
| CN107115119A (en) * | 2017-04-25 | 2017-09-01 | 上海联影医疗科技有限公司 | The acquisition methods of PET image attenuation coefficient, the method and system of correction for attenuation |
| CN107133996A (en) * | 2017-03-21 | 2017-09-05 | 上海联影医疗科技有限公司 | Produce the method and PET/CT systems for the decay pattern rebuild for PET data |
| CN107212899A (en) * | 2017-05-25 | 2017-09-29 | 上海联影医疗科技有限公司 | Medical imaging procedure and medical image system |
| CN108074270A (en) * | 2016-11-11 | 2018-05-25 | 上海东软医疗科技有限公司 | A kind of PET attenuation correction methods and device |
| CN108553121A (en) * | 2018-02-12 | 2018-09-21 | 沈阳东软医疗***有限公司 | A kind of method and apparatus of PET delayed sweeps |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6490476B1 (en) * | 1999-10-14 | 2002-12-03 | Cti Pet Systems, Inc. | Combined PET and X-ray CT tomograph and method for using same |
| US7447345B2 (en) * | 2003-12-16 | 2008-11-04 | General Electric Company | System and method for generating PET-CT images |
| US7515678B2 (en) * | 2005-11-23 | 2009-04-07 | General Electric Company | Method and system for performing CT image reconstruction with motion artifact correction |
| US7348564B2 (en) * | 2005-12-12 | 2008-03-25 | General Electric Company | Multi modality imaging methods and apparatus |
| US7737406B2 (en) * | 2006-09-27 | 2010-06-15 | Siemens Medical Solutions Usa, Inc. | Compensating for truncated CT images for use as attenuation maps in emission tomography |
| US7729467B2 (en) * | 2007-03-22 | 2010-06-01 | General Electric Company | Methods and systems for attentuation correction in medical imaging |
| KR101428005B1 (en) * | 2012-10-29 | 2014-08-07 | 한국과학기술원 | Method of motion compensation and phase-matched attenuation correction in pet imaging based on a few low-dose ct images |
-
2019
- 2019-06-11 CN CN201910501832.4A patent/CN110215228B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009047602A (en) * | 2007-08-21 | 2009-03-05 | Toshiba Corp | Positron emission computerd tomograph, attenuation map creating device, and attenuation map creating program |
| CN102027507A (en) * | 2008-05-15 | 2011-04-20 | 皇家飞利浦电子股份有限公司 | Using non-attenuation corrected PET emission images to compensate for incomplete anatomic images |
| CN102124361A (en) * | 2008-08-15 | 2011-07-13 | 皇家飞利浦电子股份有限公司 | Attenuation correction for PET or SPECT nuclear imaging systems using magnetic resonance spectroscopic image data |
| CN102316807A (en) * | 2009-02-17 | 2012-01-11 | 皇家飞利浦电子股份有限公司 | Visual field based on model in the nuclear imaging is expanded |
| JP2011092554A (en) * | 2009-10-30 | 2011-05-12 | Toshiba Corp | Pet-ct apparatus |
| CN103329168A (en) * | 2011-01-27 | 2013-09-25 | 皇家飞利浦电子股份有限公司 | Truncation compensation for iterative cone-beam CT reconstruction for SPECT/CT systems |
| CN104751502A (en) * | 2015-04-17 | 2015-07-01 | 北京锐视康科技发展有限公司 | CT (computed tomography) image reconstruction method for expanding vision |
| CN106491151A (en) * | 2016-01-25 | 2017-03-15 | 上海联影医疗科技有限公司 | PET image acquisition methods and system |
| CN105976413A (en) * | 2016-06-28 | 2016-09-28 | 明峰医疗***股份有限公司 | Method and device for obtaining PET linear attenuation coefficient based on CT image |
| CN108074270A (en) * | 2016-11-11 | 2018-05-25 | 上海东软医疗科技有限公司 | A kind of PET attenuation correction methods and device |
| CN106491153A (en) * | 2016-12-29 | 2017-03-15 | 上海联影医疗科技有限公司 | A kind of PET scatter correction methods, PET imaging methods and PET imaging systems |
| CN106691487A (en) * | 2017-01-05 | 2017-05-24 | 沈阳东软医疗***有限公司 | Imaging method and imaging system |
| CN107133996A (en) * | 2017-03-21 | 2017-09-05 | 上海联影医疗科技有限公司 | Produce the method and PET/CT systems for the decay pattern rebuild for PET data |
| CN107115119A (en) * | 2017-04-25 | 2017-09-01 | 上海联影医疗科技有限公司 | The acquisition methods of PET image attenuation coefficient, the method and system of correction for attenuation |
| CN107212899A (en) * | 2017-05-25 | 2017-09-29 | 上海联影医疗科技有限公司 | Medical imaging procedure and medical image system |
| CN108553121A (en) * | 2018-02-12 | 2018-09-21 | 沈阳东软医疗***有限公司 | A kind of method and apparatus of PET delayed sweeps |
Non-Patent Citations (1)
| Title |
|---|
| CT用于PET衰减校正技术的研究进展;柴培等;中国医学影像技术;第第26卷卷(第第8期期);第1576-1578 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110215228A (en) | 2019-09-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110215228B (en) | PET reconstruction attenuation correction method, system, readable storage medium and apparatus | |
| US10147206B2 (en) | Determining PET scanning time | |
| CN109567843B (en) | Imaging scanning automatic positioning method, device, equipment and medium | |
| US8774473B2 (en) | Attenuation correction of MR coils in a hybrid PET/MR system | |
| CN105078495B (en) | PET-CT scanning imaging method and related imaging method | |
| EP1008325B1 (en) | X-ray computerized tomograph having collimator which restricts the irradiation range of x-ray fan beam | |
| US9400317B2 (en) | MR scan selection for PET attenuation correction | |
| US7518114B2 (en) | Method and system for imaging a patient | |
| US10463318B2 (en) | Multi-sequence scanning | |
| US10925554B2 (en) | Outside-FOV activity estimation using surview and prior patient data in positron emission tomography | |
| CN110742632B (en) | PET image attenuation correction method and PET-CT equipment | |
| JP2020500085A (en) | Image acquisition system and method | |
| WO2013043390A2 (en) | Automatic and semi-automatic parameter determinations for medical imaging systems | |
| US20150257720A1 (en) | Method and system for automatically positioning a structure within a field of view | |
| WO2017045620A1 (en) | Computed tomography method and system | |
| JP2004237076A (en) | Method and apparatus for multimodality imaging | |
| US10134157B2 (en) | Image generating apparatus, radiation tomography imaging apparatus, and image generating method and program | |
| US20160217585A1 (en) | Medical image processing apparatus, medical image processing method and medical image diagnosis apparatus | |
| US20230036485A1 (en) | Data Driven Reconstruction in Emission Tomography | |
| CN111700633A (en) | PET image attenuation correction method, PET image attenuation correction device, computer equipment and readable storage medium | |
| JP2016087458A (en) | X-ray computer tomographic apparatus | |
| CN110755101A (en) | CT scanning method and device | |
| EP4148680A1 (en) | Attenuation correction-based weighting for tomographic inconsistency detection | |
| JP2013244360A (en) | X ray inspector | |
| CN108416743B (en) | Method and device for sorting list mode data and computer readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 201807 Shanghai City, north of the city of Jiading District Road No. 2258 Applicant after: Shanghai Lianying Medical Technology Co.,Ltd. Address before: 201807 Shanghai City, north of the city of Jiading District Road No. 2258 Applicant before: SHANGHAI UNITED IMAGING HEALTHCARE Co.,Ltd. |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |