CN111833409A - Image processing method and PET imaging system - Google Patents
Image processing method and PET imaging system Download PDFInfo
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- CN111833409A CN111833409A CN202010610016.XA CN202010610016A CN111833409A CN 111833409 A CN111833409 A CN 111833409A CN 202010610016 A CN202010610016 A CN 202010610016A CN 111833409 A CN111833409 A CN 111833409A
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- G06T11/003—Reconstruction from projections, e.g. tomography
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- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/02—Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computerised tomographs
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- A61B6/00—Apparatus for radiation diagnosis, e.g. 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
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10104—Positron emission tomography [PET]
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- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
Abstract
The present disclosure relates to an image processing method and a PET imaging system, the method is applied to a PET imaging system, the PET imaging system comprises a plurality of detection units and a plurality of coincidence processing modules, the method comprises: each detection unit sends a single event detected in a processing time period to a coincidence processing module corresponding to the processing time period, the detection time period corresponding to the detection unit is divided into a plurality of processing time periods, the processing time periods are in one-to-one correspondence with the coincidence processing modules, and two adjacent processing time periods are partially overlapped; the coincidence processing module performs coincidence processing on the received single event to determine a coincidence event for image reconstruction. Therefore, the corresponding data calculation amount and transmission amount during the coincidence processing can be reduced, the coincidence processing efficiency can be effectively improved, and meanwhile, effective data support and technical support are provided for improving the sensitivity and the processing efficiency of the PET imaging system.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to an image processing method and a PET imaging system.
Background
Positron Emission Tomography (PET) is an advanced clinical radiography examination technology in the field of nuclear medicine, and provides functional lesion information of a human body from a molecular level in a noninvasive, dynamic and quantitative manner based on organism metabolism by injecting a radioactive tracer into the human body.
In the prior art, most of PET imaging systems can only image a small section of a human body (about 20-25 cm) due to the limitation of imaging field of view, which directly results in low imaging efficiency of the system. When a PET imaging system is used for large-area imaging, a plurality of detection units are usually used for large-area detection, detection data of the plurality of detection units are usually required to be subjected to repeated and crossed coincidence processing in the process, the data calculation amount is large, and the sensitivity of the PET imaging system is low.
Disclosure of Invention
An object of the present disclosure is to provide an image processing method and a PET imaging system that can reduce the amount of data processing.
In order to achieve the above object, according to a first aspect of the present disclosure, there is provided an image processing method applied to a PET imaging system including a plurality of detection units and a plurality of coincidence processing modules, the method including:
each detection unit sends a single event detected in a processing time period to a coincidence processing module corresponding to the processing time period, wherein the detection time period corresponding to the detection unit is divided into a plurality of processing time periods, the processing time periods are in one-to-one correspondence with the coincidence processing modules, and two adjacent processing time periods are partially overlapped;
the coincidence processing module performs coincidence processing on the received single event to determine a coincidence event for image reconstruction.
Optionally, the ending time of the first processing period is a time corresponding to a lapse of a target duration and a reserved duration from a starting time, and the starting time of the second processing period is a time corresponding to a lapse of the target duration from the starting time of the first processing period, where the first processing period is a preceding period of the two adjacent processing periods, and the second processing period is a succeeding period of the two adjacent processing periods.
Optionally, the reserved time length is greater than or equal to a coincidence time window corresponding to coincidence processing performed by the coincidence processing module.
Optionally, the PET imaging system further includes an image reconstruction module in one-to-one correspondence with the plurality of coincidence processing modules;
the method further comprises the following steps:
the coincidence processing module sends the coincidence event to an image reconstruction module corresponding to the coincidence processing module;
and the image reconstruction module carries out image reconstruction according to the received coincidence event so as to obtain a reconstructed image.
Optionally, the method further comprises:
and the coincidence processing module carries out image reconstruction according to the coincidence event so as to obtain a reconstructed image.
Optionally, the PET imaging system further comprises an image fusion module;
the method further comprises the following steps:
and the image fusion module performs image fusion on the reconstructed image to obtain a fused image.
According to a second aspect of the present disclosure, there is provided a PET imaging system, the system comprising:
a plurality of detection units and a plurality of coincidence processing modules;
each detection unit is used for sending the single event detected in the processing time period to a coincidence processing module corresponding to the processing time period, wherein the detection time period corresponding to the detection unit is divided into a plurality of processing time periods, the processing time periods are in one-to-one correspondence with the coincidence processing modules, and two adjacent processing time periods are partially overlapped;
and the coincidence processing module is used for performing coincidence processing on the received single event so as to determine a coincidence event for image reconstruction.
Optionally, the ending time of the first processing period is a time corresponding to a lapse of a target duration and a reserved duration from a starting time, and the starting time of the second processing period is a time corresponding to a lapse of the target duration from the starting time of the first processing period, where the first processing period is a preceding period of the two adjacent processing periods, and the second processing period is a succeeding period of the two adjacent processing periods.
Optionally, the reserved time length is greater than or equal to a coincidence time window corresponding to coincidence processing performed by the coincidence processing module.
Optionally, the system further comprises:
the image reconstruction modules correspond to the plurality of coincidence processing modules one by one;
the coincidence processing module is also used for sending the coincidence event to an image reconstruction module corresponding to the coincidence processing module;
and the image reconstruction module is used for reconstructing an image according to the received coincidence event so as to obtain a reconstructed image.
Optionally, the coincidence processing module is further configured to perform image reconstruction according to the coincidence event to obtain a reconstructed image.
Optionally, the system further comprises:
and the image fusion module is used for carrying out image fusion on the reconstructed image so as to obtain a fused image.
In the technical scheme, the detection time interval is divided into a plurality of processing time intervals, and a single event detected in each processing time interval is sent to the same coincidence processing module for coincidence processing, so that data information corresponding to the whole detected area is received by each coincidence processing module; meanwhile, the processing time intervals correspond to the coincidence processing modules one to one, and the adjacent two processing time intervals are partially overlapped, so that the coincidence processing can be performed between the coincidence processing modules in parallel and independently, the bandwidth of mass data transmission is reduced, and the coincidence processing efficiency is improved. Compared with the prior art that the detection unit carries out cross coincidence processing on the detected single event, the method provided by the disclosure can effectively reduce the corresponding data calculation amount and transmission amount during coincidence processing, thereby effectively improving the coincidence processing efficiency, and simultaneously providing effective data support and technical support for improving the sensitivity and the processing efficiency of the PET imaging system.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
FIG. 1 is a flow diagram of an image processing method provided in accordance with one embodiment of the present disclosure;
FIG. 2A is a schematic view of a PET imaging system provided in accordance with an embodiment of the present disclosure;
FIG. 2B is a schematic diagram of a plurality of detection units provided in accordance with one embodiment of the present disclosure
FIG. 2C is a schematic view of each detection unit provided in accordance with one embodiment of the present disclosure;
fig. 3 is a schematic diagram of a division of a probe period into a plurality of processing periods provided in accordance with one embodiment of the present disclosure.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
In order to make the technical solutions provided by the embodiments of the present invention easier to understand for those skilled in the art, first, related technologies will be briefly described below.
PET (Positron Emission Tomography) is a relatively advanced clinical examination imaging technique in the field of nuclear medicine. The general method is to label a substance, generally necessary for the metabolism of a living organism, such as glucose, protein, nucleic acid, fatty acid, with a short-lived radionuclide (e.g., a peptide)18F，11C, etc.) of the substance is injected into a human body, and the condition of the metabolic activity of the life is reflected by determining the aggregation condition of the substance in the metabolism.
Short-lived radionuclides release positrons during decay, and a positron encounters an electron and annihilates, producing a pair of 511 KeV-energetic photons in opposite directions (180 degrees). Photons generated by positron annihilation hit two detectors at symmetrical positions, each detector generates a timing pulse after receiving the photons, and the timing pulses are respectively input into coincidence lines for coincidence discrimination to determine a true coincidence event. By performing the same analysis processing on different positrons based on the true coincidence event, an image of the accumulation condition in the living body can be obtained, so that the condition of the metabolic activity of the life can be analyzed based on the image.
The following provides a detailed description of examples provided by the present disclosure.
Fig. 1 is a flowchart of an image processing method according to an embodiment of the present disclosure, which may be applied to a PET imaging system, as shown in fig. 2A, which is a schematic diagram of a PET imaging system including a plurality of detection units 101 and a plurality of coincidence processing modules 102, where the detection unit 101 is composed of a scintillation crystal, a photomultiplier tube, and a signal processing circuit, where the scintillation crystal is configured to receive gamma rays and generate scintillation light, the photomultiplier tube converts the scintillation light into an electrical signal, and the signal processing circuit detects corresponding event energy, time, and spatial position information after the gamma rays are converted into the electrical signal, that is, single event data. The scintillation crystal and the photomultiplier are arranged in a circular manner to form a single detection unit 101, for example, as shown in fig. 2B, a plurality of detection units Ui (0< i > -k, where k is the number of detection units) are sequentially arranged along the axial direction of the detection table 10, each detection unit includes a plurality of circumferentially arranged detectors including the scintillation crystal and the photomultiplier for detecting photons, as shown in fig. 2C, and T1, T2, T3, and T4 are different detectors in one detection unit, respectively (other detectors in fig. 2C are not numbered). The coincidence Processing module can be implemented by a Field Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), or other processor. The method comprises the following steps:
in step 11, each detection unit sends the single event detected in the processing period to the coincidence processing module corresponding to the processing period, wherein the detection period corresponding to the detection unit is divided into a plurality of processing periods, the plurality of processing periods correspond to the plurality of coincidence processing modules one to one, and two adjacent processing periods partially coincide.
Wherein a single event detected by a detection unit, i.e. a timing pulse generated by photons captured by a plurality of detectors in the detection unit, may generate a plurality of single event counts.
In the prior art, when an image of the whole body of a human body is acquired, the whole body of the human body can be detected by a plurality of detection units, each detection unit corresponds to different human body parts, and then independent coincidence processing is performed according to data of each detection unit, so that an image of a part corresponding to each detection unit is acquired, and a complete image is acquired by image splicing. The applicant finds that, through the above manner, if the data processing of a certain conforming processing module is inaccurate, the accuracy of the finally obtained image is seriously affected.
Therefore, in the embodiment provided by the present disclosure, the detection period is a period for detecting a human body by the PET imaging system, the detection period is divided into a plurality of processing periods, each processing period corresponds to one coincidence processing module, and the single events detected by the plurality of detection units in each processing period are all sent to the same coincidence processing module, so that for each coincidence processing module, the processed single event is detection data corresponding to the whole detected region, and during subsequent imaging, a complete image of the detected region can be determined based on the coincidence event determined by each coincidence processing module.
In step 12, the coincidence processing module performs coincidence processing on the received single event to determine a coincidence event for performing image reconstruction.
After receiving the single events, the coincidence processing module may determine whether the single events are matched according to information of each single event, so as to determine whether the single events are coincident events. The determination may be performed based on an existing coincidence processing technique, for example, coincidence processing is performed based on position information between detectors corresponding to single events and pulse energy and time information corresponding to the single events, sorting is completed according to the time of occurrence of the single events, and two single events meeting the spatial position requirement are combined into one coincidence event. In order to further improve the accuracy of coincidence processing, PET data correction can be carried out by random coincidence correction, scattering correction and the like so as to ensure the accurate processing of single events.
When the coincidence processing module performs coincidence processing, a coincidence time window with a smaller time constant is usually set, and the duration of the coincidence time window may be smaller than 15ns, for example, then when a coincidence event is determined, two timing pulses whose times fall into the coincidence time window at the same time may be determined as a photon pair generated in the same positron annihilation event, so that a single event corresponding to the two timing pulses may be determined as a coincidence event. For example, the duration of the coincidence time window is 5ns, and for a photon pair (photons γ 1 and γ 2) generated in the same positron annihilation event, if a single event of photon γ 1 is detected first in the current processing period, it may be determined whether a corresponding single event of photon γ 2 detected exists in 5ns after the single event, if so, a coincidence event may be determined, and if not, the single event may be ignored.
In the technical scheme of the disclosure, the single event is subjected to segmentation processing according to the time sequence, so that the single event in different processing time periods is sent to the corresponding coincidence processing modules. Since the detected time instants of each photon in a pair of photons generated in the same positron annihilation event may not be the same, in an actual situation, a single event of detecting the photon γ 2 may exist in 5ns after the single event of detecting the photon γ 1, but since the time of detecting the single event of the photon γ 1 is at the boundary of the current processing period, the single event of detecting the photon γ 2 may be sent to the coincidence processing module corresponding to the next processing period for matching. Therefore, in the embodiment provided by the present disclosure, adjacent processing time periods partially overlap, so that a part of single events at the boundary of the current processing time period can be sent to the coincidence processing module corresponding to the next processing time period for coincidence processing. For example, the single event of the detected photon γ 1 at the boundary of the current processing period may be sent to the coincidence processing module corresponding to the next processing period, and then the coincidence events corresponding to the photons γ 1 and γ 2 may be determined in the coincidence processing module corresponding to the next processing period, so that the accuracy of coincidence matching of the single event corresponding to the photons generated based on the same positron during the processing period crossing may be improved to a certain extent, thereby avoiding a failure in matching of the coincidence events due to division of the processing periods, and improving the accuracy of coincidence processing.
In the technical scheme, the detection time interval is divided into a plurality of processing time intervals, and a single event detected in each processing time interval is sent to the same coincidence processing module for coincidence processing, so that data information corresponding to the whole detected area is received by each coincidence processing module; meanwhile, the processing time intervals correspond to the coincidence processing modules one to one, and the adjacent two processing time intervals are partially overlapped, so that the coincidence processing can be performed between the coincidence processing modules in parallel and independently, the bandwidth of mass data transmission is reduced, and the coincidence processing efficiency is improved. Compared with the prior art that the detection unit carries out cross coincidence processing on the detected single event, the method provided by the disclosure can effectively reduce the corresponding data calculation amount and transmission amount during coincidence processing, thereby effectively improving the coincidence processing efficiency, and simultaneously providing effective data support and technical support for improving the sensitivity and the processing efficiency of the PET imaging system.
In order to make those skilled in the art understand the technical solutions provided by the embodiments of the present invention, the following detailed descriptions are provided for the above steps.
In the embodiment of the present disclosure, the detection period corresponding to the detection unit is divided into a plurality of processing periods, and adjacent processing periods partially coincide. The following describes the manner in which the detection period is divided in detail. For example, the basic duration corresponding to each processing period may be determined according to the duration of the probing period and the number of the coincidence processing modules, for example, the duration of the probing period may be equally allocated to each coincidence processing module, and the basic duration may be determined. Then, in order to ensure the accuracy of the single event coincidence processing at the boundary of each processing period, a reserved time length can be determined, so that the accuracy of the coincidence processing of the single event at the boundary of the processing period is ensured.
Optionally, the ending time of the first processing period is a time corresponding to a lapse of a target duration and a reserved duration from a starting time, and the starting time of the second processing period is a time corresponding to a lapse of the target duration from the starting time of the first processing period, where the first processing period is a preceding period of the two adjacent processing periods, and the second processing period is a succeeding period of the two adjacent processing periods.
Illustratively, as shown in fig. 3, the probe period is divided into a plurality of processing periods, for example, the target duration is T, the reserved duration is dt, the starting time of the processing period M1 is 0, the ending time of the processing period M1 is T + dt, the starting time of the processing period M2 is T, and the ending time of the processing period M2 is 2T + dt. That is to say, the data in the time period with the starting time T and the ending time T + dt is sent to the coincidence processing module corresponding to the processing time period M1 and the coincidence processing module corresponding to the processing time period M2, so as to ensure the accuracy of coincidence processing of the single event in the time period. The single event processing in the subsequent processing period is similar to that described above and will not be described herein.
As described above, a coincidence time window with a small time constant is set when a single event is coincided, and the timing pulses falling within the time window are identified as photon pairs generated in the same positron annihilation event, so that the coincidence event can be determined. Optionally, the reserved time length is greater than or equal to a coincidence time window corresponding to coincidence processing performed by the coincidence processing module.
Illustratively, the coincidence time window is 5ns, the reserved time length is 5ns, it can be ensured that each single event in the target time length from the starting time in the processing time period can be coincided with all the single events in the corresponding coincidence time window, and the single events after the target time length in the current processing time period can be processed in the next processing time period after the current processing time period, so that it can be ensured that each single event can be accurately matched in the corresponding coincidence time window, therefore, on one hand, only the single event in the time period corresponding to the reserved time length needs to be sent to the two coincidence processing modules to which the single event belongs, and the other single events only need to be sent to the corresponding coincidence processing modules once, so that the data calculation amount and the transmission amount corresponding to the coincidence processing can be effectively reduced, on the other hand, accurate coincidence processing of each single event can be ensured, the comprehensiveness and accuracy of the determined coincidence events are improved, and accurate data support is provided for subsequent image reconstruction.
After the coincidence processing module determines a coincidence event for image reconstruction, image reconstruction may be performed according to the coincidence event. Based on this, the present disclosure also provides the following embodiments.
In one possible implementation, as shown in fig. 2A, the PET imaging system further includes an image reconstruction module 103 corresponding to the plurality of coincidence Processing modules 102 one to one, wherein the image reconstruction module calculates the spatial position of the vanishing point according to the coincidence event information obtained by the coincidence Processing module, so as to complete image reconstruction, and the image reconstruction module may be a GPU (Graphics Processing Unit) or other processor CPU, etc.;
the method further comprises the following steps:
the coincidence processing module sends the coincidence event to an image reconstruction module corresponding to the coincidence processing module;
and the image reconstruction module carries out image reconstruction according to the received coincidence event so as to obtain a reconstructed image.
In this embodiment, for each coincidence processing module, there is an image reconstruction module corresponding thereto, and after the coincidence processing module determines a coincidence event, the coincidence event may be sent to the image reconstruction module corresponding thereto. Illustratively, the image reconstruction module may perform image reconstruction by a filtered backprojection reconstruction (FBP) algorithm, an iterative reconstruction (EM, OS-EM) algorithm, or the like, according to the coincidence events it receives. The reconstruction algorithm is the prior art, and is not described herein again. In addition, based on the embodiments provided by the present disclosure, when the area to be detected is increased, a new detection unit may be added to adapt to the updated area to be detected without modifying the connection relationship between the coincidence processing module and the image reconstruction module, thereby facilitating the expansion of the PET imaging system and widening the application range of the image processing method.
In another possible embodiment, the image reconstruction function may be integrated in the coincidence processing module, and accordingly, the method further includes:
and the coincidence processing module carries out image reconstruction according to the coincidence event so as to obtain a reconstructed image.
The image reconstruction method performed by the coincidence processing module is similar to that described above, and is not described herein again.
Therefore, according to the technical scheme, the image reconstruction can be performed on the coincidence events determined by each coincidence processing module, so that the reconstructed image corresponding to each coincidence processing module is obtained. Because the coincidence event determined in the coincidence processing module is obtained by performing coincidence processing according to the single event detected by each detector, a reconstructed image obtained by performing image reconstruction based on the coincidence event is a complete image corresponding to the detected region. In the embodiment provided by the disclosure, each obtained reconstructed image is a complete image corresponding to the detected region, and each reconstructed image corresponds to detection data of different processing time periods, so that the deviation of the complete image caused by an inaccurate result of a certain conforming processing module in the prior art can be effectively avoided, and the integrity and the accuracy of the reconstructed image obtained by the image processing method are improved.
Optionally, the method may further include: and outputting each reconstructed image, so that the image change conditions corresponding to different periods in the detection period can be displayed for a user, the comparison and analysis of the reconstructed images in different periods are facilitated, and the user experience is improved.
Optionally, as shown in fig. 2A, the PET imaging system further comprises an image fusion module 104;
the method further comprises the following steps:
and the image fusion module performs image fusion on the reconstructed image to obtain a fused image.
As can be seen from the above description, a complete reconstructed image corresponding to the detected region can be determined based on the data corresponding to each processing period. In this embodiment, the plurality of reconstructed images may be image-fused based on a logic filter method, a weighted average method, a mathematical morphology method, an image algebra method, an analog annealing method, a pyramid image fusion method, a wavelet transform image fusion method, or the like, so as to obtain a complete image determined based on the entire detection period. Therefore, by the technical scheme, the reconstructed images respectively determined according to the single events averagely distributed to each coincidence processing module can be fused, and the accuracy of the fused images is improved.
Optionally, after the fused image is determined, the fused image may be output, or the fused image and each reconstructed image may be output, so that a user can analyze the fused image based on the output image, the user can use the fused image conveniently, and the user experience is improved.
The present disclosure also provides a PET imaging system, the system comprising:
a plurality of detection units and a plurality of coincidence processing modules;
each detection unit is used for sending the single event detected in the processing time period to a coincidence processing module corresponding to the processing time period, wherein the detection time period corresponding to the detection unit is divided into a plurality of processing time periods, the processing time periods are in one-to-one correspondence with the coincidence processing modules, and two adjacent processing time periods are partially overlapped;
and the coincidence processing module is used for performing coincidence processing on the received single event so as to determine a coincidence event for image reconstruction.
Optionally, the ending time of the first processing period is a time corresponding to a lapse of a target duration and a reserved duration from a starting time, and the starting time of the second processing period is a time corresponding to a lapse of the target duration from the starting time of the first processing period, where the first processing period is a preceding period of the two adjacent processing periods, and the second processing period is a succeeding period of the two adjacent processing periods.
Optionally, the reserved time length is greater than or equal to a coincidence time window corresponding to coincidence processing performed by the coincidence processing module.
Optionally, the system further comprises:
the image reconstruction modules correspond to the plurality of coincidence processing modules one by one;
the coincidence processing module is also used for sending the coincidence event to an image reconstruction module corresponding to the coincidence processing module;
and the image reconstruction module is used for reconstructing an image according to the received coincidence event so as to obtain a reconstructed image.
Optionally, the coincidence processing module is further configured to perform image reconstruction according to the coincidence event to obtain a reconstructed image.
Optionally, the system further comprises:
and the image fusion module is used for carrying out image fusion on the reconstructed image so as to obtain a fused image.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, various possible combinations will not be separately described in this disclosure.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (10)
1. An image processing method applied to a PET imaging system including a plurality of detection units and a plurality of coincidence processing modules, the method comprising:
each detection unit sends a single event detected in a processing time period to a coincidence processing module corresponding to the processing time period, wherein the detection time period corresponding to the detection unit is divided into a plurality of processing time periods, the processing time periods are in one-to-one correspondence with the coincidence processing modules, and two adjacent processing time periods are partially overlapped;
the coincidence processing module performs coincidence processing on the received single event to determine a coincidence event for image reconstruction.
2. The method according to claim 1, wherein the ending time of a first processing period is a time corresponding to a lapse of a target duration and a reserved duration from a starting time, and the starting time of a second processing period is a time corresponding to a lapse of the target duration from the starting time of the first processing period, wherein the first processing period is a preceding one of the two adjacent processing periods, and the second processing period is a succeeding one of the two adjacent processing periods.
3. The method of claim 2, wherein the reserved time duration is greater than or equal to a coincidence time window corresponding to coincidence processing performed by the coincidence processing module.
4. The method of claim 1, wherein the PET imaging system further comprises an image reconstruction module in one-to-one correspondence with the plurality of coincidence processing modules;
the method further comprises the following steps:
the coincidence processing module sends the coincidence event to an image reconstruction module corresponding to the coincidence processing module;
and the image reconstruction module carries out image reconstruction according to the received coincidence event so as to obtain a reconstructed image.
5. The method of claim 1, further comprising:
and the coincidence processing module carries out image reconstruction according to the coincidence event so as to obtain a reconstructed image.
6. The method of claim 4 or 5, wherein the PET imaging system further comprises an image fusion module;
the method further comprises the following steps:
and the image fusion module performs image fusion on the reconstructed image to obtain a fused image.
7. A PET imaging system, characterized in that the system comprises:
a plurality of detection units and a plurality of coincidence processing modules;
each detection unit is used for sending the single event detected in the processing time period to a coincidence processing module corresponding to the processing time period, wherein the detection time period corresponding to the detection unit is divided into a plurality of processing time periods, the processing time periods are in one-to-one correspondence with the coincidence processing modules, and two adjacent processing time periods are partially overlapped;
and the coincidence processing module is used for performing coincidence processing on the received single event so as to determine a coincidence event for image reconstruction.
8. The system of claim 7, further comprising:
the image reconstruction modules correspond to the plurality of coincidence processing modules one by one;
the coincidence processing module is also used for sending the coincidence event to an image reconstruction module corresponding to the coincidence processing module;
and the image reconstruction module is used for reconstructing an image according to the received coincidence event so as to obtain a reconstructed image.
9. The system of claim 7, wherein the coincidence processing module is further configured to perform image reconstruction based on the coincidence events to obtain a reconstructed image.
10. The system according to claim 8 or 9, characterized in that the system further comprises:
and the image fusion module is used for carrying out image fusion on the reconstructed image so as to obtain a fused image.
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| CN113081018A (en) * | 2021-03-31 | 2021-07-09 | 上海联影医疗科技股份有限公司 | PET medical imaging system |
| US11576629B1 (en) * | 2021-08-12 | 2023-02-14 | GE Precision Healthcare LLC | System and method for adaptive coincidence processing for high count rates |
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