Reconstruction image determination method, apparatus, processing device, and scanning reconstruction system

By configuring reconstruction and scanning parameters, a target reconstruction task is generated, which solves the problem of wasted scanning time and resources in the existing technology and achieves the effect of efficiently acquiring dynamic and static images.

CN117064417BActive Publication Date: 2026-11-06SHANGHAI UNITED IMAGING HEALTHCARE
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Patent Information

Application Number
CN202311062980.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-08-22
Publication Date
2026-11-06
Estimated Expiration
2043-08-22

AI Technical Summary

Technical Problem

Existing technologies struggle to efficiently acquire dynamic and static images in medical scanning, resulting in wasted scanning time and reconstruction resources.

Method used

By configuring reconstruction and scanning parameters, target reconstruction and scanning tasks are generated, which scan and reconstruct regions of interest that require static and dynamic images, respectively, to generate a reconstructed image sequence.

Benefits of technology

It improves scanning and reconstruction efficiency, reduces scanning time and resource waste, and meets the image requirements of different parts of the body.

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Abstract

This application relates to a method, apparatus, processing device, and scanning reconstruction system for determining reconstructed images. The method includes: acquiring configured reconstruction parameters, generating a target reconstruction task corresponding to the reconstruction parameters, and then determining a reconstructed image sequence based on the target reconstruction task. The reconstruction parameters include multiple scan path identifiers and corresponding scan beds. Each scan bed includes a first bed corresponding to a first region of interest requiring a static image and / or a second bed corresponding to a second region of interest requiring a dynamic image. The reconstructed image sequence includes a first reconstructed image corresponding to the first region of interest and a second reconstructed image corresponding to the second region of interest. This method can efficiently obtain dynamic and / or static images.
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Description

Technical Field

[0001] This application relates to the field of medical technology, and in particular to a method, apparatus, processing device, and scanning reconstruction system for determining reconstructed images. Background Technology

[0002] In medical scanning, such as whole-body positron emission tomography (PET) scans, there are scenarios where it is necessary to acquire dynamic images of a specific area as well as static images of other areas. For example, after scanning areas such as the head, neck, chest, abdomen, and pelvis, there is a need to acquire dynamic images of the chest and abdomen, as well as static images of other areas such as the head, neck, and pelvis. Therefore, how to provide a method for determining reconstructed images applicable to the above scenarios to obtain the required dynamic and static images is a key research focus for those skilled in the art. Summary of the Invention

[0003] Therefore, it is necessary to provide a method, apparatus, processing device, and scanning reconstruction system for efficiently obtaining dynamic and / or static images to address the aforementioned technical problems.

[0004] In a first aspect, this application provides a method for determining a reconstructed image, the method comprising:

[0005] Obtain the configured reconstruction parameters; the reconstruction parameters include multiple scan path identifiers and the scan bed corresponding to the scan path identifiers, each scan bed including the first bed corresponding to the first region of interest that requires static images and / or the second bed corresponding to the second region of interest that requires dynamic images;

[0006] Generate the target reconstruction task corresponding to the reconstruction parameters;

[0007] The reconstructed image sequence is determined based on the target reconstruction task. The reconstructed image sequence includes a first reconstructed image corresponding to a first region of interest and a second reconstructed image corresponding to a second region of interest.

[0008] In one embodiment, obtaining the configured reconstruction parameters includes:

[0009] In response to the first configuration operation on the first configuration interface, obtain the reconstruction parameters.

[0010] In one embodiment, the method further includes:

[0011] Obtain the configured scanning parameters; the scanning parameters include the scanning path identifier and the scanning information of the scanning bed corresponding to the scanning path identifier;

[0012] The scanning parameters are sent to the scanning device; the scanning information in the scanning parameters is used to instruct the scanning device to scan the first region of interest according to the scanning information corresponding to the first bed position, and to scan the second region of interest according to the scanning information corresponding to the second bed position.

[0013] In one embodiment, the scan information includes scan duration and / or scan identifier.

[0014] In one embodiment, there are multiple scan path identifiers in total, and the scan duration corresponding to at least one first bed under each scan path identifier is equal to zero, and / or, at least one scan identifier corresponding to a first bed is used to indicate that scanning of the bed corresponding to the scan identifier is prohibited.

[0015] In one embodiment, the total number of scan path identifiers is one, and the scan duration corresponding to at least one first bed position is greater than zero and less than the scan duration corresponding to each second bed position.

[0016] In one embodiment, obtaining the configured scan parameters includes:

[0017] In response to a second configuration operation on the second configuration interface, obtain the scan path identifier;

[0018] In response to a third configuration operation on the second configuration interface, the scanning information of each bed corresponding to the scanning path identifier is obtained.

[0019] Secondly, this application also provides a reconstructed image determining apparatus, the apparatus comprising:

[0020] The first acquisition module is used to acquire the configured reconstruction parameters. The reconstruction parameters include multiple scan path identifiers and the scan bed corresponding to the scan path identifiers. Each scan bed includes a first bed corresponding to a first region of interest that requires static images and / or a second bed corresponding to a second region of interest that requires dynamic images.

[0021] The generation module is used to generate the target reconstruction task corresponding to the reconstruction parameters.

[0022] The first sending module is used to determine the reconstructed image sequence according to the target reconstruction task. The reconstructed image sequence includes a first reconstructed image corresponding to a first region of interest and a second reconstructed image corresponding to a second region of interest.

[0023] Thirdly, this application also provides a processing apparatus. The processing apparatus includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of any of the methods described above.

[0024] Fourthly, this application also provides a scanning reconstruction system, which includes a scanning device and the aforementioned processing device;

[0025] A scanning device for scanning a first region of interest according to scanning information corresponding to a first bed position, and for scanning a second region of interest according to scanning information corresponding to a second bed position.

[0026] Fifthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements the steps of any of the methods described above.

[0027] Sixthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the steps of any of the methods described above.

[0028] The aforementioned image reconstruction determination method, apparatus, processing device, and scanning reconstruction system, because the reconstruction parameters include multiple scanning path identifiers and corresponding scanning beds, and each scanning bed includes a first bed corresponding to a first region of interest requiring static images and / or a second bed corresponding to a second region of interest requiring dynamic images, can determine a reconstructed image sequence based on the target reconstruction task after generating the corresponding target reconstruction task. Furthermore, the reconstructed image sequence includes a first reconstructed image corresponding to the first region of interest and a second reconstructed image corresponding to the second region of interest. In the prior art, for application scenarios requiring both static and dynamic images, multiple reconstruction tasks are generated to obtain multiple reconstruction sequences, resulting in low efficiency. However, in this embodiment, after obtaining the reconstruction parameters, a target reconstruction task can be determined, and a reconstructed image sequence can be generated, thereby efficiently obtaining dynamic and / or static images. Attached Figure Description

[0029] Figure 1 This is an application environment diagram of the scanning parameter configuration method in the embodiments of this application;

[0030] Figure 2 This is a flowchart illustrating the image reconstruction determination method in the embodiments of this application;

[0031] Figure 3 This is a schematic diagram of a scanning bed in an embodiment of this application;

[0032] Figure 4 This is a schematic diagram of a first configuration interface in an embodiment of this application;

[0033] Figure 5 This is a schematic diagram of a process for sending scanning parameters in an embodiment of this application;

[0034] Figure 6 This is a schematic diagram of the scanning process in the prior art;

[0035] Figure 7 This is a schematic diagram of a scanning process in an embodiment of this application;

[0036] Figure 8 This is a schematic diagram of a process for obtaining scanning parameters in an embodiment of this application;

[0037] Figure 9 This is a schematic diagram illustrating one configuration of scanning parameters in an embodiment of this application;

[0038] Figure 10 This is a schematic diagram illustrating yet another configuration of scanning parameters in an embodiment of this application;

[0039] Figure 11 This is a schematic diagram illustrating the process of a method for determining a reconstructed image in an embodiment of this application;

[0040] Figure 12 This is a structural block diagram of the image reconstruction determination device in the embodiments of this application;

[0041] Figure 13 This is an internal structural diagram of the processing device in an embodiment of this application. Detailed Implementation

[0042] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0043] Figure 1 This diagram illustrates the application environment of the scanning parameter configuration method in this embodiment, where the scanning device 101 and the processing device 102 communicate via wired or wireless communication. The processing device 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices. Portable wearable devices can be smartwatches, smart bracelets, head-mounted devices, etc. Of course, the processing device 102 can also be implemented using a standalone server or a server cluster composed of multiple servers.

[0044] In some embodiments, the processing device 102 may also be disposed inside the scanning device 101. The processing device 102 may include, but is not limited to, a central processing unit (CPU), and may also include at least one of a digital signal processor (DSP), a field-programmable gate array (FPGA), or other programmable logic devices.

[0045] The scanning equipment 101 includes, but is not limited to, various single-system scanning equipment and multi-system layer scanning equipment. For example, PET (Positron Emission Computed Tomography) equipment, MRI (Magnetic Resonance Imaging) equipment, PET-CT equipment, and PET-MR equipment, etc.

[0046] Figure 2 This is a flowchart illustrating the image reconstruction determination method in an embodiment of this application. This method can be applied to... Figure 1 In one embodiment of the processing apparatus shown, such as Figure 2 As shown, it includes the following steps:

[0047] S201, Obtain the configured reconstruction parameters; the reconstruction parameters include multiple scan path identifiers and the scan beds corresponding to the scan path identifiers, each scan bed including a first bed corresponding to a first region of interest that requires static images and / or a second bed corresponding to a second region of interest that requires dynamic images.

[0048] In this embodiment, the processing device obtains the configured reconstruction parameters. Optionally, the processing device may obtain the user-configured reconstruction parameters in response to user input; the processing device may also obtain reconstruction parameters sent by other electronic devices; the processing device may also pre-store the configured reconstruction parameters and read them from memory when needed.

[0049] The reconstruction parameters include multiple scan path identifiers and the corresponding scan beds. The scan path identifier indicates the scan path, which can be understood as a single unidirectional scan. The scan path identifier can be at least one of letters, numbers, or symbols. For example, the scan path is represented as PASS, and the scan path identifier is distinguished by Arabic numerals. When PASS=1, i.e., PASS1, it indicates the first unidirectional scan; when PASS=2, i.e., PASS2, it indicates the second unidirectional scan.

[0050] A scanning bed refers to the area where the region of interest of the target object is located. Scanning beds can be divided into different areas, and scanning beds in different areas can be used to scan different parts of the target object to meet different scanning needs.

[0051] Figure 3 This is a schematic diagram of a scanning bed in an embodiment of this application. Figure 3As shown, scanning bed 301 can be used to scan the head of the target object, scanning bed 302 can be used to scan the heart of the target object, scanning bed 303 can be used to scan the abdomen of the target object, and scanning bed 304 can be used to scan the legs of the target object.

[0052] The first region of interest (MOI) refers to the area requiring static images, while the second MOI refers to the area requiring dynamic images. For example, during a full-body scan of a target object, the head, neck, chest, abdomen, and pelvis are scanned. For key areas of observation, such as the chest and abdomen, doctors are more concerned with their dynamic changes; therefore, dynamic images of the chest and abdomen are needed during the scan. For areas like the neck and pelvis, only corresponding static images are required.

[0053] Furthermore, based on the region where each scanning bed is located, each scanning bed can be divided into a first bed and / or a second bed. The first bed is the scanning bed corresponding to the first region of interest, and the second bed is the scanning bed corresponding to the second region of interest. Figure 3 For example, scanning beds 301 and 304 are the first beds, and scanning beds 302 and 303 are the second beds.

[0054] Understandably, areas requiring dynamic imaging need to be scanned multiple times. Figure 3 For example, scanning bed 301 only needs to be scanned once to obtain the corresponding static image, while scanning bed 302 needs to be scanned at least twice, or a single scan takes a relatively long time to obtain the corresponding dynamic image.

[0055] Therefore, the reconstruction parameters can indicate the scanning bed corresponding to each PASS. For example, if both PASS1 and PASS2 correspond to scanning beds 301, 302, 303, and 304, it means that in the first and second scans, scanning beds 301, 302, 303, and 304 need to be scanned sequentially.

[0056] S202, Generate the target reconstruction task corresponding to the reconstruction parameters.

[0057] Furthermore, the processing device generates a target reconstruction task corresponding to the reconstruction parameters. In other words, the processing device generates a target reconstruction task based on the reconstruction parameters. Based on this target reconstruction task, the processing device can determine which beds the scanning device should scan in each scan, and thus perform reconstruction for each scan.

[0058] Optionally, the processing device can send reconstruction parameters to the scanning device, so that the scanning device can return the scanning data corresponding to the reconstruction parameters to the processing device, and then the processing device can perform reconstruction based on the scanning data corresponding to the reconstruction parameters.

[0059] S203, determine the reconstructed image sequence according to the target reconstruction task. The reconstructed image sequence includes a first reconstructed image corresponding to a first region of interest and a second reconstructed image corresponding to a second region of interest.

[0060] After generating the target reconstruction task, the processing device can determine a sequence of reconstructed images based on the task. Since the reconstruction parameters indicate the scanning bed corresponding to each scan path identifier, including a first bed and / or a second bed, the sequence of reconstructed images determined based on the target reconstruction task can include a first reconstructed image corresponding to a first region of interest and a second reconstructed image corresponding to a second region of interest. The first reconstructed image is a static image, and the second reconstructed image is a dynamic image.

[0061] Optionally, in one embodiment, the processing device can determine target reconstructed images belonging to different scan path identifiers and / or different body parts based on the reconstructed image sequence. Then, the processing device can display the target reconstructed images. For example, the processing device can display different types of target reconstructed images in different panes to facilitate a clearer view of target reconstructed images of different body parts and different types for the user. Of course, the user can also use an image type switching command to view target reconstructed images of different body parts and different types.

[0062] The reconstructed image determination method provided in this embodiment obtains configured reconstruction parameters. Since the reconstruction parameters include multiple scan path identifiers and corresponding scan beds, and each scan bed includes a first bed corresponding to a first region of interest requiring a static image and / or a second bed corresponding to a second region of interest requiring a dynamic image, after generating a corresponding target reconstruction task based on the reconstruction parameters, a reconstructed image sequence can be determined based on the target reconstruction task. Furthermore, the reconstructed image sequence includes a first reconstructed image corresponding to the first region of interest and a second reconstructed image corresponding to the second region of interest. In existing technologies, for application scenarios requiring both static and dynamic images, multiple reconstruction tasks are generated to obtain multiple reconstruction sequences, resulting in low efficiency. However, this embodiment, after obtaining the reconstruction parameters, can determine a target reconstruction task and generate a reconstructed image sequence, thereby efficiently obtaining dynamic and / or static images.

[0063] In one embodiment, optionally, obtaining the configured reconstruction parameters in S201 above can be achieved in the following way:

[0064] In response to the first configuration operation on the first configuration interface, obtain the reconstruction parameters.

[0065] In this embodiment, the reconstruction parameters can be configured on a first configuration interface. The processing device can provide a first configuration interface, whereby a user can trigger a first configuration operation to configure the reconstruction parameters. Then, the processor device can respond to the first configuration operation and obtain the configured reconstruction parameters. The first configuration operation may include, but is not limited to, at least one of mouse selection, keyboard input, voice input, gesture input, and touch operation.

[0066] Figure 4 This is a schematic diagram of a first configuration interface in an embodiment of this application, such as... Figure 4 As shown, Figure 4 As shown, the first configuration interface displays all scan paths, allowing the user to select the scan path needed for reconstruction from among them. For example, Figure 4 As shown, if the user selects scan path 1 and scan path 4, the processing device will determine that the reconstruction parameters include the scan path identifier corresponding to scan path 1 and the scan path identifier corresponding to scan path 4.

[0067] based on Figure 4 Optionally, the processing device can respond to the user's selection of a scan path in the first configuration interface by displaying the scan bed corresponding to the selected scan path. For example, when the user double-clicks... Figure 4 The processing device can display the scanning bed corresponding to scanning path 1 at the location of scanning path 1.

[0068] This embodiment improves the efficiency and flexibility of obtaining reconstruction parameters by responding to the first configuration operation on the first configuration interface.

[0069] Figure 5 This is a schematic diagram of a process for sending scanning parameters in an embodiment of this application. (Refer to...) Figure 5 This embodiment relates to an optional implementation of how to send scanning parameters. Based on the above embodiment, the reconstructed image determination method further includes the following steps:

[0070] S501, obtain the configured scanning parameters; the scanning parameters include the scanning path identifier and the scanning information of the scanning bed corresponding to the scanning path identifier.

[0071] Understandably, a scanning device is required to perform a scan before generating a reconstructed image, and the scanning device needs to scan according to the scanning parameters. Therefore, the processing device can obtain the configured scanning parameters.

[0072] Similarly, the processing device can respond to user input to obtain user-configured scanning parameters; the processing device can also obtain scanning parameters sent by other electronic devices; the processing device can also store configured scanning parameters in advance and read them from memory when needed.

[0073] The scanning parameters include the scanning path identifier and the scanning information of the corresponding scanning bed. The scanning information includes, but is not limited to, scanning time, scanning overlap rate, acquisition frequency, and other information used to instruct the scanning equipment on how to perform the scanning.

[0074] In other words, the scanning parameters can indicate the scanning bed corresponding to each PASS, as well as the scanning information corresponding to each scanning bed. For example, PASS1 and PASS2 both correspond to scanning beds 301 to 304, with a scanning time of 1 minute at each scanning bed.

[0075] S502, send scanning parameters to the scanning device; the scanning information in the scanning parameters is used to instruct the scanning device to scan the first region of interest according to the scanning information corresponding to the first bed position, and to scan the second region of interest according to the scanning information corresponding to the second bed position.

[0076] Furthermore, after the processing device sends the scanning parameters to the scanning device, the scanning device can scan the first region of interest according to the scanning information corresponding to the first bed position, and scan the second region of interest according to the scanning information corresponding to the second bed position.

[0077] Continuing with the example above, the processing device will scan scanning beds 301, 302, 303 and 304 for 1 minute each in the first and second scans, thereby obtaining the corresponding scan data.

[0078] In this embodiment, since the scanning parameters include the scanning path identifier and the scanning information of the scanning bed corresponding to the scanning path identifier, after obtaining the configured scanning parameters and sending the scanning parameters to the scanning device, the scanning device can scan the first region of interest according to the scanning information corresponding to the first bed and scan the second region of interest according to the scanning information corresponding to the second bed, thereby improving scanning efficiency.

[0079] In one embodiment, the scan information includes scan duration and / or scan identifier.

[0080] In this embodiment, the scanning duration refers to the length of time spent scanning at the corresponding scanning bed. For example, if the scanning duration for scanning bed 301 is 10 seconds, it means that scanning bed 301 needs to be scanned for 10 seconds during the actual scanning process.

[0081] The scan identifier indicates whether the bed corresponding to the scan identifier should be scanned. The scan identifier can be at least one of letters, numbers, symbols, or Chinese characters. For example, the scan identifier can be 0 or 1. Continuing with the example of scan bed 301, if the scan identifier corresponding to scan bed 301 is 0, it means that scan bed 301 will be skipped during the actual scan, and will not be scanned. If the scan identifier corresponding to scan bed 301 is 1, it means that scan bed 301 cannot be skipped during the actual scan, and must still be scanned; the scan duration can be the default value.

[0082] In one embodiment, the scan information may include both scan duration and scan identifier. For example, the scan identifier corresponding to scan bed 304 is 1, and the scan duration corresponding to scan bed 304 is 1 second.

[0083] In this embodiment, since the scanning information includes scanning duration and / or scanning identifier, the scanning device can start scanning after sending the scanning parameters to the scanning device.

[0084] In one embodiment, there are multiple scan path identifiers in total, and the scan duration corresponding to at least one first bed under each scan path identifier is equal to zero, and / or, at least one scan identifier corresponding to a first bed is used to indicate that scanning of the bed corresponding to the scan identifier is prohibited.

[0085] In this embodiment, the total number of scan paths is multiple. That is, the scanning device needs to perform multiple unidirectional scans.

[0086] Furthermore, in the scanning parameters, the scanning time corresponding to at least one first bed position under each scanning path identifier is equal to zero. That is, at least one scanning path needs to skip the scanning of at least one first bed position corresponding to a static image. Continuing based on... Figure 3 Scanning beds 302 and 303 are the second scanning beds, while the other two are the first scanning beds. Taking two passes as an example, in pass 1, the scanning time for each scanning bed can be 1 second. In pass 2, the scanning time for scanning beds 301 and 304 is 0 seconds, while the scanning time for scanning beds 302 and 303 is still 1 second. Thus, during actual scanning, the scanning device scans all scanning beds sequentially the first time, and then skips scanning beds 301 and 304 corresponding to static images the second time.

[0087] Alternatively, in the scanning parameters, a scanning identifier corresponding to at least one first bed can be used to indicate that scanning of the bed corresponding to the scanning identifier is prohibited. In other words, the scanning parameters can use scanning identifiers to skip at least one first bed. Continuing from the above... Figure 3For example, taking two passes, in pass 1, the scanning time for each scanning bed can be set to the default, and the scanning identifier for each scanning bed is equal to 1. In pass 2, the scanning identifiers for scanning beds 301 and 304 are 0, while the scanning identifiers for scanning beds 302 and 303 remain 1. Thus, during actual scanning, the scanning device scans all scanning beds sequentially the first time, and then skips scanning beds 301 and 304 corresponding to static images the second time.

[0088] In some embodiments, the scanning time for at least one first bed can be set to zero, and at least one scanning identifier for the first bed can be set to indicate that scanning of the bed corresponding to the scanning identifier is prohibited. On the one hand, this improves flexibility; on the other hand, the dual settings can also ensure the accuracy of skipping.

[0089] In this embodiment, when there are multiple scanning path identifiers, since the scanning time corresponding to at least one first bed under each scanning path identifier is equal to zero, and / or the scanning identifier corresponding to at least one first bed is used to indicate that scanning of the bed corresponding to the scanning identifier is prohibited, the scanning device can skip at least one first bed in at least one scanning path when scanning according to the scanning parameters, so as to save scanning time and scanning resources, and thus improve the subsequent reconstruction efficiency.

[0090] In one embodiment, the total number of scan path identifiers is one, and the scan duration corresponding to at least one first bed is greater than zero and less than the scan duration corresponding to each second bed.

[0091] In this embodiment, the total number of scanning path identifiers is one, which means that the scanning device needs to perform a one-way scan to obtain the scanning data corresponding to all scanning beds in one scan.

[0092] Furthermore, in the scanning parameters, the scanning duration corresponding to at least one first bed is greater than zero and less than the scanning duration corresponding to each second bed. It is understandable that, with a fixed acquisition frequency, the longer the time spent at a scanning bed, the more scanning data can be acquired, which is beneficial for reconstructing dynamic images. In other words, if scanning of all scanning beds is to be completed in a single scan, the scanning duration corresponding to the first bed must be greater than zero to ensure a static image is obtained, and the scanning duration corresponding to the first bed must be less than the scanning duration corresponding to each second bed to obtain a dynamic image.

[0093] Continuing from the above, based on Figure 3For example, the scanning parameters can include only the scanning information corresponding to PASS1. In PASS1, the scanning time for scanning bed 301 can be 1 second, the scanning time for scanning bed 302 can be 5 seconds, the scanning time for scanning bed 303 can be 5 seconds, and the scanning time for scanning bed 304 can be 1 second. Thus, during actual scanning, the scanning device only needs to scan all scanning beds sequentially to obtain the scanning data corresponding to scanning bed 301, scanning bed 302, scanning bed 303, and scanning bed 304. Since the scanning times for scanning beds 302 and 303 are greater than the scanning time for scanning bed 301 and greater than the scanning time for scanning bed 304, the dynamic image can be reconstructed using the scanning data corresponding to scanning beds 302 and 303.

[0094] In this embodiment, when the total number of scan path identifiers is one, since the scan duration corresponding to at least one first bed is greater than zero and less than the scan duration corresponding to each second bed, the scan duration of the first bed can also be reduced, thereby saving scan time and scan resources, and thus improving the subsequent reconstruction efficiency.

[0095] To more clearly illustrate the scanning and reconstruction process of this application, the following is combined with... Figure 6 and Figure 7 illustrate. Figure 6 This is a schematic diagram of the scanning process in the prior art. Figure 7 This is a schematic diagram of a scanning process in an embodiment of this application.

[0096] exist Figure 3 Based on this, we will take three scanning paths as an example. In existing technology, in order to obtain static and dynamic images, each scanning bed is scanned three times. That is, in PASS1, scanning beds 301, 302, 303, and 304 are scanned sequentially, and the corresponding scan data is obtained. In PASS2, scanning beds 301, 302, 303, and 304 are also scanned sequentially, and the corresponding scan data is obtained. In PASS3, scanning beds 301, 302, 303, and 304 are still scanned sequentially, and the corresponding scan data is obtained.

[0097] Subsequently, in the prior art, multiple reconstruction tasks are generated. One of these tasks is used to generate dynamic images corresponding to scanning beds 302 and 303, while the other reconstruction tasks are used to generate dynamic images corresponding to scanning beds 301 and 304.

[0098] In this embodiment, all scanning beds only need to be scanned during the first scan; subsequent scans can skip the first bed. That is, in PASS1, scanning beds 301, 302, 303, and 304 are scanned sequentially to obtain the corresponding scan data. In PASS2, scanning beds 301 and 304 are skipped, and scanning beds 302 and 303 are scanned sequentially to obtain the corresponding scan data. In PASS3, scanning beds 301 and 304 are also skipped, and scanning beds 302 and 303 are scanned sequentially to obtain the corresponding scan data.

[0099] Afterwards, the processing device configures the reconstruction parameters according to the requirements and only needs to generate one reconstruction task. It uses the scan data corresponding to PASS1, PASS2 and PASS3 to obtain dynamic images, and uses the scan data corresponding to PASS1 to obtain static images.

[0100] Taking a whole-body scan as an example, the areas involved include at least the head, neck, chest, abdomen, and pelvis. In existing technologies, for areas requiring observation of dynamic changes, such as the chest and abdomen, the scanning bed is repeatedly moved back and forth to the chest and abdomen to obtain the corresponding scanning data. Other areas, such as the neck and pelvis, are also scanned multiple times simultaneously, without skipping any area. However, existing technologies divide the reconstruction into multiple reconstruction tasks. One task reconstructs the chest and abdomen to generate dynamic images, while other tasks separately generate static images of the neck and pelvis. These dynamic and static images are different reconstruction sequences. In other words, in existing technologies, multiple reconstruction sequences are generated during a patient's whole-body scan.

[0101] As can be seen, existing whole-body scan reconstruction techniques require multiple scans and reconstructions, which increases scanning and reconstruction time and wastes scanning and reconstruction resources. In contrast, this embodiment only requires a single scan at the first bed position, while multiple scans are performed at the second bed position where dynamic changes need to be observed, and a single reconstruction is used to obtain a reconstructed image sequence. This approach not only unifies static and dynamic scanning methods for different body parts as needed, reducing scanning time and saving system resources, but also, since both the first and second reconstructed images are within the reconstructed image sequence, it can meet the image stitching requirements of different temporal resolutions.

[0102] Figure 8 This is a schematic diagram of a process for obtaining scanning parameters in an embodiment of this application. (Refer to...) Figure 8 This embodiment relates to an optional implementation of how to obtain the configured scanning parameters. Based on the above embodiment, step S501, obtaining the configured scanning parameters, includes the following steps:

[0103] S801, in response to a second configuration operation for the second configuration interface, obtains the scan path identifier.

[0104] S802, in response to a third configuration operation on the second configuration interface, obtains the scanning information of each bed corresponding to the scanning path identifier.

[0105] In this embodiment, the scanning parameters can be configured on a second configuration interface. The processing device can provide a second configuration interface, where the user can trigger a second configuration operation and a third configuration operation to configure the reconstruction parameters. Then, the processor device can respond to the second and third configuration operations respectively to obtain the configured scan path identifier and the scanning information of each bed corresponding to the scan path identifier, thus obtaining the scanning parameters. Similarly, the second or third configuration operation can include, but is not limited to, at least one of mouse selection, keyboard input, voice input, gesture input, and touch operation.

[0106] Figure 9 This is a schematic diagram illustrating one configuration of scanning parameters in an embodiment of this application, such as... Figure 9 As shown, users can select the desired scanning path on the left, such as PASS3. Then, on the left, they can configure the scanning information for each scanning bed corresponding to PASS3. For example, they can configure the scanning duration for scanning beds 1, 4, and 5 to 6 milliseconds, and configure the scanning duration for scanning beds 2 and 3 to 0 milliseconds, thus skipping scanning beds 2 and 3 in PASS3.

[0107] Figure 10 This is a schematic diagram illustrating another configuration of scanning parameters in an embodiment of this application, such as... Figure 10 As shown, users can select the desired scanning path below, such as PASS6. Then, they can configure the starting and ending beds for PASS6 above. For example, starting bed "2" corresponds to scanning bed 2, and ending bed "3" corresponds to scanning bed 3, thus skipping scanning beds other than scanning beds 2 and 3 in PASS6.

[0108] This embodiment improves the flexibility and efficiency of obtaining scanning parameters by responding to a second configuration operation on the second configuration interface to obtain the scanning path identifier and responding to a third configuration operation on the second configuration interface to obtain the scanning information of each bed corresponding to the scanning path identifier.

[0109] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0110] Figure 11 This is a schematic diagram illustrating the process of a method for determining a reconstructed image in an embodiment of this application, as shown below. Figure 11 As shown, the processing device executes the reconstructed image determination method according to the following procedure.

[0111] S1101, in response to a second configuration operation for the second configuration interface, obtain the scan path identifier.

[0112] S1102, in response to the third configuration operation on the second configuration interface, obtain the scanning information of each bed corresponding to the scanning path identifier. The scanning parameters include the scanning path identifier and the scanning information of the corresponding scanning bed. The scanning information includes the scanning duration and / or the scanning identifier; the scanning identifier indicates whether the bed corresponding to the scanning identifier is scanned. If there are multiple scanning path identifiers, the scanning duration for at least one first bed under each scanning path identifier is equal to zero, and / or, the scanning identifier for at least one first bed indicates that scanning of the bed corresponding to the scanning identifier is prohibited. If there is only one scanning path identifier, the scanning duration for at least one first bed is greater than zero and less than the scanning duration for each second bed.

[0113] S1103, sending scanning parameters to the scanning device. The scanning parameters include scanning information used to instruct the scanning device to scan the first region of interest according to the scanning information corresponding to the first bed position, and to scan the second region of interest according to the scanning information corresponding to the second bed position.

[0114] S1104, in response to a first configuration operation on the first configuration interface, obtain the configured reconstruction parameters. The reconstruction parameters include multiple scan path identifiers and corresponding scan beds. Each scan bed includes a first bed corresponding to a first region of interest requiring static images and / or a second bed corresponding to a second region of interest requiring dynamic images.

[0115] S1105, Generate the target reconstruction task corresponding to the reconstruction parameters.

[0116] S1106, Determine the reconstructed image sequence according to the target reconstruction task. The reconstructed image sequence includes a first reconstructed image corresponding to a first region of interest and a second reconstructed image corresponding to a second region of interest.

[0117] Based on the same inventive concept, this application also provides a reconstructed image determination apparatus for implementing the reconstructed image determination method described above. The solution provided by this apparatus is similar to the implementation described in the above method; therefore, the specific limitations in one or more embodiments of the reconstructed image determination apparatus provided below can be found in the limitations of the reconstructed image determination method described above, and will not be repeated here.

[0118] Figure 12 This is a structural block diagram of the image reconstruction determination device in the embodiments of this application, such as... Figure 12 As shown, this application provides a reconstructed image determination device 1200, including: a first acquisition module 1201, a generation module 1202, and a first transmission module 1203, wherein:

[0119] The first acquisition module 1201 is used to acquire the configured reconstruction parameters. The reconstruction parameters include multiple scan path identifiers and the scan beds corresponding to the scan path identifiers. Each scan bed includes a first bed corresponding to a first region of interest that requires static images and / or a second bed corresponding to a second region of interest that requires dynamic images.

[0120] The generation module 1202 is used to generate the target reconstruction task corresponding to the reconstruction parameters.

[0121] The first sending module 1203 is used to determine a reconstructed image sequence according to the target reconstruction task. The reconstructed image sequence includes a first reconstructed image corresponding to a first region of interest and a second reconstructed image corresponding to a second region of interest.

[0122] The reconstructed image determination device provided in this embodiment acquires configured reconstruction parameters. Since the reconstruction parameters include multiple scan path identifiers and corresponding scan beds, and each scan bed includes a first bed corresponding to a first region of interest requiring a static image and / or a second bed corresponding to a second region of interest requiring a dynamic image, after generating a corresponding target reconstruction task based on the reconstruction parameters, a reconstructed image sequence can be determined based on the target reconstruction task. Furthermore, the reconstructed image sequence includes a first reconstructed image corresponding to the first region of interest and a second reconstructed image corresponding to the second region of interest. In the prior art, for application scenarios requiring both static and dynamic images, multiple reconstruction tasks are generated to obtain multiple reconstruction sequences, which is inefficient. However, this embodiment, after acquiring the reconstruction parameters, can determine a target reconstruction task and generate a reconstructed image sequence, thereby efficiently obtaining dynamic and / or static images.

[0123] Optionally, the first acquisition module 1201 is also used to acquire reconstruction parameters in response to a first configuration operation on the first configuration interface.

[0124] Optionally, the reconstructed image determining device 1200 includes:

[0125] The second acquisition module is used to acquire the configured scanning parameters; the scanning parameters include the scanning path identifier and the scanning information of the scanning bed corresponding to the scanning path identifier.

[0126] The second sending module is used to send scanning parameters to the scanning device; the scanning information in the scanning parameters is used to instruct the scanning device to scan the first region of interest according to the scanning information corresponding to the first bed position, and to scan the second region of interest according to the scanning information corresponding to the second bed position.

[0127] Optionally, the scan information includes scan duration and / or scan identifier; the scan identifier is used to indicate whether the bed corresponding to the scan identifier was scanned.

[0128] Optionally, there may be multiple scan path identifiers in total, and the scan duration corresponding to at least one first bed under each scan path identifier may be equal to zero, and / or, at least one scan identifier corresponding to a first bed may be used to indicate that scanning of the bed corresponding to the scan identifier is prohibited.

[0129] Optionally, the total number of scan path identifiers is one, and the scan duration corresponding to at least one first bed is greater than zero and less than the scan duration corresponding to each second bed.

[0130] Optionally, the second acquisition module includes:

[0131] The first acquisition unit is used to acquire the scan path identifier in response to the second configuration operation on the second configuration interface.

[0132] The second acquisition unit is used to acquire the scanning information of each bed corresponding to the scanning path identifier in response to the third configuration operation of the second configuration interface.

[0133] Each module in the aforementioned reconstructed image determination device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the operations corresponding to each module.

[0134] In one embodiment, a scan reconstruction system is provided; please refer to [reference needed]. Figure 1 The scanning reconstruction system includes a scanning device 101 and a processing device 102. The processing device 102 is used to execute the reconstructed image determination method described above. The scanning device 101 is used to scan a first region of interest according to the scanning information corresponding to a first bed position, and to scan a second region of interest according to the scanning information corresponding to a second bed position.

[0135] Figure 13 This is an internal structural diagram of the processing device in an embodiment of this application. This application provides a processing device, which may be a server, and its internal structural diagram can be as shown below. Figure 13 As shown, the processing device includes a processor, memory, and a network interface connected via a system bus. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores relevant data. The network interface communicates with external terminals via a network connection. When executed by the processor, the computer program implements a method for determining a reconstructed image.

[0136] Those skilled in the art will understand that Figure 13 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the processing device to which the present application is applied. The specific processing device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0137] In one embodiment, a processing device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0138] Obtain the configured reconstruction parameters; the reconstruction parameters include multiple scan path identifiers and the scan bed corresponding to the scan path identifiers, each scan bed including a first bed corresponding to a first region of interest that requires static images and / or a second bed corresponding to a second region of interest that requires dynamic images;

[0139] Generate the target reconstruction task corresponding to the reconstruction parameters;

[0140] A reconstructed image sequence is determined based on the target reconstruction task. The reconstructed image sequence includes a first reconstructed image corresponding to the first region of interest and a second reconstructed image corresponding to the second region of interest.

[0141] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0142] In response to a first configuration operation on the first configuration interface, the reconstruction parameters are obtained.

[0143] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0144] Obtain the configured scanning parameters; the scanning parameters include the scanning path identifier and the scanning information of the scanning bed corresponding to the scanning path identifier; send the scanning parameters to the scanning device; the scanning information in the scanning parameters is used to instruct the scanning device to scan the first region of interest according to the scanning information corresponding to the first bed, and to scan the second region of interest according to the scanning information corresponding to the second bed.

[0145] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0146] The scanning information includes scanning duration and / or scanning identifier; the scanning identifier is used to indicate whether the bed corresponding to the scanning identifier is scanned.

[0147] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0148] The total number of scan path identifiers is multiple, and the scan duration corresponding to at least one of the first beds under each scan path identifier is equal to zero, and / or, at least one scan identifier corresponding to the first bed is used to indicate that scanning of the bed corresponding to the scan identifier is prohibited.

[0149] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0150] The total number of scan path identifiers is one, and the scan duration corresponding to at least one of the first beds is greater than zero and less than the scan duration corresponding to each of the second beds.

[0151] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0152] In response to a second configuration operation on the second configuration interface, the scan path identifier is obtained; in response to a third configuration operation on the second configuration interface, the scan information of each bed corresponding to the scan path identifier is obtained.

[0153] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0154] Obtain the configured reconstruction parameters; the reconstruction parameters include multiple scan path identifiers and the scan bed corresponding to the scan path identifiers, each scan bed including a first bed corresponding to a first region of interest that requires static images and / or a second bed corresponding to a second region of interest that requires dynamic images;

[0155] Generate the target reconstruction task corresponding to the reconstruction parameters;

[0156] A reconstructed image sequence is determined based on the target reconstruction task. The reconstructed image sequence includes a first reconstructed image corresponding to the first region of interest and a second reconstructed image corresponding to the second region of interest.

[0157] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0158] In response to a first configuration operation on the first configuration interface, the reconstruction parameters are obtained.

[0159] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0160] Obtain the configured scanning parameters; the scanning parameters include the scanning path identifier and the scanning information of the scanning bed corresponding to the scanning path identifier; send the scanning parameters to the scanning device; the scanning information in the scanning parameters is used to instruct the scanning device to scan the first region of interest according to the scanning information corresponding to the first bed, and to scan the second region of interest according to the scanning information corresponding to the second bed.

[0161] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0162] The scanning information includes scanning duration and / or scanning identifier; the scanning identifier is used to indicate whether the bed corresponding to the scanning identifier is scanned.

[0163] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0164] The total number of scan path identifiers is multiple, and the scan duration corresponding to at least one of the first beds under each scan path identifier is equal to zero, and / or, at least one scan identifier corresponding to the first bed is used to indicate that scanning of the bed corresponding to the scan identifier is prohibited.

[0165] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0166] The total number of scan path identifiers is one, and the scan duration corresponding to at least one of the first beds is greater than zero and less than the scan duration corresponding to each of the second beds.

[0167] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0168] In response to a second configuration operation on the second configuration interface, the scan path identifier is obtained; in response to a third configuration operation on the second configuration interface, the scan information of each bed corresponding to the scan path identifier is obtained.

[0169] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0170] Obtain the configured reconstruction parameters; the reconstruction parameters include multiple scan path identifiers and the scan bed corresponding to the scan path identifiers, each scan bed including a first bed corresponding to a first region of interest that requires static images and / or a second bed corresponding to a second region of interest that requires dynamic images;

[0171] Generate the target reconstruction task corresponding to the reconstruction parameters;

[0172] A reconstructed image sequence is determined based on the target reconstruction task. The reconstructed image sequence includes a first reconstructed image corresponding to the first region of interest and a second reconstructed image corresponding to the second region of interest.

[0173] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0174] In response to a first configuration operation on the first configuration interface, the reconstruction parameters are obtained.

[0175] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0176] Obtain the configured scanning parameters; the scanning parameters include the scanning path identifier and the scanning information of the scanning bed corresponding to the scanning path identifier; send the scanning parameters to the scanning device; the scanning information in the scanning parameters is used to instruct the scanning device to scan the first region of interest according to the scanning information corresponding to the first bed, and to scan the second region of interest according to the scanning information corresponding to the second bed.

[0177] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0178] The scanning information includes scanning duration and / or scanning identifier; the scanning identifier is used to indicate whether the bed corresponding to the scanning identifier is scanned.

[0179] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0180] The total number of scan path identifiers is multiple, and the scan duration corresponding to at least one of the first beds under each scan path identifier is equal to zero, and / or, at least one scan identifier corresponding to the first bed is used to indicate that scanning of the bed corresponding to the scan identifier is prohibited.

[0181] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0182] The total number of scan path identifiers is one, and the scan duration corresponding to at least one of the first beds is greater than zero and less than the scan duration corresponding to each of the second beds.

[0183] In one embodiment, when the computer program is executed by a processor, it further performs the following steps:

[0184] In response to a second configuration operation on the second configuration interface, the scan path identifier is obtained; in response to a third configuration operation on the second configuration interface, the scan information of each bed corresponding to the scan path identifier is obtained.

[0185] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0186] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0187] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for determining a reconstructed image, characterized in that, The method includes: Obtain the configured scanning parameters; the scanning parameters include scanning path identifiers and scanning information of the scanning beds corresponding to the scanning path identifiers; the scanning beds include a first bed corresponding to a first region of interest requiring static images and / or a second bed corresponding to a second region of interest requiring dynamic images; the scanning information includes scanning duration and / or scanning identifiers; the total number of scanning path identifiers is multiple, and the scanning duration corresponding to at least one first bed under each scanning path identifier is equal to zero, and / or, at least one scanning identifier corresponding to the first bed is used to indicate that scanning of the bed corresponding to the scanning identifier is prohibited; The scanning parameters are sent to the scanning device; the scanning information in the scanning parameters is used to instruct the scanning device to scan the first region of interest according to the scanning information corresponding to the first bed position, and to scan the second region of interest according to the scanning information corresponding to the second bed position. Obtain the configured reconstruction parameters; the reconstruction parameters include multiple scan path identifiers and the scan bed corresponding to the scan path identifiers; Generate the target reconstruction task corresponding to the reconstruction parameters; A reconstructed image sequence is determined based on the target reconstruction task. The reconstructed image sequence includes a first reconstructed image corresponding to the first region of interest and a second reconstructed image corresponding to the second region of interest.

2. The method according to claim 1, characterized in that, The process of obtaining the configured reconstruction parameters includes: In response to a first configuration operation on the first configuration interface, the reconstruction parameters are obtained.

3. The method according to claim 1, characterized in that, The process of obtaining the configured scanning parameters includes: In response to a second configuration operation on the second configuration interface, the scan path identifier is obtained; In response to a third configuration operation on the second configuration interface, the scanning information of each bed corresponding to the scanning path identifier is obtained.

4. An image reconstruction determination device, characterized in that, The device includes: The second acquisition module is used to acquire configured scanning parameters; the scanning parameters include scanning path identifiers and scanning information of the scanning beds corresponding to the scanning path identifiers; the scanning beds include first beds corresponding to a first region of interest requiring static images and / or second beds corresponding to a second region of interest requiring dynamic images; the scanning information includes scanning duration and / or scanning identifiers; the total number of scanning path identifiers is multiple, and the scanning duration corresponding to at least one first bed under each scanning path identifier is equal to zero, and / or, at least one scanning identifier corresponding to a first bed is used to indicate that scanning of the bed corresponding to the scanning identifier is prohibited; The second sending module is used to send the scanning parameters to the scanning device; the scanning information in the scanning parameters is used to instruct the scanning device to scan the first region of interest according to the scanning information corresponding to the first bed position, and to scan the second region of interest according to the scanning information corresponding to the second bed position. The first acquisition module is used to acquire the configured reconstruction parameters; the reconstruction parameters include multiple scan path identifiers and the scan bed corresponding to the scan path identifiers; The generation module is used to generate the target reconstruction task corresponding to the reconstruction parameters; A first sending module is configured to determine a reconstructed image sequence based on the target reconstruction task, the reconstructed image sequence including a first reconstructed image corresponding to the first region of interest and a second reconstructed image corresponding to the second region of interest.

5. A processing device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 3.

6. A scanning reconstruction system, characterized in that, The system includes a scanning device and a processing device as described in claim 5; The scanning device is used to scan the first region of interest according to the scanning information corresponding to the first bed position, and to scan the second region of interest according to the scanning information corresponding to the second bed position.

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