Structural simulation image acquisition method and device, equipment and storage medium

Abstract

The invention relates to the technical field of medical image data simulation, provides a structural simulation image acquisition method and device, equipment and a storage medium, and aims to obtain a large number of complete structural simulation images close to real data under the condition of meeting individual privacy protection requirements and provide data support for algorithm development. The method comprises the following steps: acquiring complete structure real images of a simulated object in a plurality of individuals; different parts of the simulated object are extracted from the complete structure real images of the multiple individuals, and partial structure areas of the simulated object in the multiple individuals are obtained; registration is carried out among the real images of the complete structures of the multiple individuals, and registration information is obtained; and based on the registration information, unifying the partial structure areas of the simulated object in the plurality of individuals into the same image space to obtain a complete structure simulation image of the simulated object.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical image data simulation, in particular to a method and device for obtaining a structure simulation image, a computer device, a storage medium and a computer program product. BACKGROUND

[0002] With the continuous development of AI (Artificial Intelligence) technology, algorithms for medical images can be developed. When developing algorithms, a large amount of medical image data is needed as data support. However, with the increasing emphasis on individual privacy protection, it is difficult to obtain a large amount of medical image data. SUMMARY

[0003] Therefore, it is necessary to provide a method and device for obtaining a structure simulation image, a computer device, a storage medium and a computer program product to solve the above technical problems.

[0004] The present application provides a method for obtaining a structure simulation image, which comprises:

[0005] obtaining complete structure real images of a simulated object in multiple individuals;

[0006] extracting different parts from the complete structure real images of the simulated object in multiple individuals to obtain partial structure regions of the simulated object in multiple individuals;

[0007] registering the complete structure real images of multiple individuals to obtain registration information;

[0008] based on the registration information, unifying the partial structure regions of the simulated object in multiple individuals into the same image space to obtain a complete structure simulation image of the simulated object.

[0009] In one embodiment, extracting different parts from the complete structure real images of the simulated object in multiple individuals comprises:

[0010] respectively performing structure division on each of the complete structure real images;

[0011] based on the results of structure division, extracting different parts from the complete structure real images of the simulated object in multiple individuals.

[0012] In one embodiment, based on the registration information, unifying the partial structure regions of the simulated object in multiple individuals into the same image space to obtain a complete structure simulation image of the simulated object comprises:

[0013] determining a target partial structure region in the partial structure regions of multiple individuals;

[0014] mapping, based on the registration information, the non-target partial structure region into the image space where the target partial structure region is located, to obtain a complete structure simulation image of the simulated object.

[0015] In one embodiment, based on the registration information, the partial structure regions of the simulated object in multiple individuals are unified into the same image space to obtain a complete structure simulation image of the simulated object, comprising:

[0016] unifying, based on the registration information, the partial structure regions of the simulated object in multiple individuals into the same image space to obtain a structure merged image;

[0017] judging whether the relative positional relationship between different parts in the structure merged image meets the structure requirement of the simulated object;

[0018] if not, correcting the structure merged image to obtain a complete structure simulation image of the simulated object.

[0019] In one embodiment, judging whether the relative positional relationship between different parts in the structure merged image meets the structure requirement of the simulated object comprises:

[0020] judging, according to the structure requirement of the simulated object, whether there is overlap between the parts that should not overlap in the structure merged image;

[0021] and / or,

[0022] judging, according to the structure requirement of the simulated object, whether the parts that should be embedded in the structure merged image are embedded.

[0023] In one embodiment, after obtaining the complete structure simulation image of the simulated object, the method further comprises:

[0024] obtaining pixel statistical values of the simulated object in each part;

[0025] filling in the corresponding pixel statistical values in each part of the complete structure simulation image of the simulated object.

[0026] In one embodiment, the complete structure real images of multiple individuals are different in modality.

[0027] The present application provides a structure simulation image acquisition device, which comprises:

[0028] a real image acquisition module, configured to acquire complete structure real images of a simulated object in multiple individuals;

[0029] extracting different parts from the complete structure real images of the plurality of individuals to obtain partial structure regions of the simulated object of the plurality of individuals;

[0030] registering the complete structure real images of the plurality of individuals to obtain registration information;

[0031] obtaining the complete structure simulation image of the simulated object based on the registration information.

[0032] The application provides a computer device, comprising a memory and a processor, the memory stores a computer program, and the processor executes the above method.

[0033] The application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to execute the above method.

[0034] The application provides a computer program product, which stores a computer program, and the computer program is executed by a processor to execute the above method.

[0035] The above structure simulation image obtaining method, device, computer device, storage medium and computer program product obtain the complete structure real images of the simulated object of the plurality of individuals, extract different parts from the complete structure real images of the plurality of individuals to obtain partial structure regions of the simulated object of the plurality of individuals, register the complete structure real images of the plurality of individuals to obtain registration information, and integrate the partial structure regions of the simulated object of the plurality of individuals into the same image space based on the registration information. The structures of different parts of the simulated object of the plurality of individuals are combined through registration, a large number of complete structure simulation images close to real data can be formed, and data support is provided for algorithm development under the condition of meeting individual privacy protection requirements. BRIEF DESCRIPTION OF DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the application or the related art, the following will briefly introduce the drawings needed to be used in the embodiment or related art description. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor under the premise of the drawings.

[0037] Figure 1 It is a flowchart of the structure simulation image obtaining method in an embodiment;

[0038] Figure 2A flowchart of a method for obtaining a structural simulation image in another embodiment;

[0039] Figure 3 A schematic diagram of a head simulation result in an embodiment;

[0040] Figure 4 A structural block diagram of an apparatus for obtaining a structural simulation image in an embodiment;

[0041] Figure 5 An internal structure diagram of a computer device in an embodiment. DETAILED DESCRIPTION

[0042] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application is further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0043] In the present application, the phrase "embodiment" means that the specific features, structures or characteristics described in connection with the embodiment can be included in at least one embodiment of the present application. The appearance of this phrase at various places in the specification does not necessarily mean the same embodiment, nor is it an independent or alternative embodiment that is not mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described in the present application can be combined with other embodiments.

[0044] The method for obtaining a structural simulation image provided by the present application can form a large number of complete structural simulation images close to real data under the condition of meeting the individual privacy protection requirements, providing data support for algorithm development. The method can be executed by a computer device including Figure 1 The steps shown.

[0045] In step S101, a complete structural real image of a simulated object in multiple individuals is obtained.

[0046] The simulated object can be set according to the algorithm development requirements. The whole animal can be taken as the simulated object, and further, a certain part of the animal such as the head, liver, abdominal cavity, etc. can be taken as the simulated object. The above-mentioned animal can be set according to actual requirements, and specifically can include a human.

[0047] Taking a human as the simulated object, the structure of the human can include: head, neck, torso and limbs, and there are corresponding positional relationships and connection relationships between each structure; each real individual includes the above-mentioned structure.

[0048] The head is taken as the simulated object, and the structures constituting the head can include: an extracranial part (such as a skull) and an intracranial part (various regions of the brain parenchyma), and there is a corresponding positional relationship and connection relationship between each structure; each real head includes the above structures.

[0049] After determining that the head is taken as the simulated object, medical images of real heads of multiple individuals can be obtained, the medical images including most or all structures constituting the head, which can be referred to as complete-structure real images. The complete-structure real images belong to structure images, and the complete-structure real images mainly describe the outlines / shapes of each part constituting the simulated object.

[0050] Among the complete-structure real images of the multiple individuals, the modalities of the complete-structure real images of two individuals are different. The modalities include but are not limited to MRI (Magnetic Resonance Imaging), CT (Computed Tomography), PET (Positron Emission Tomography), and the like. Illustratively, the modality of the complete-structure real image of the head of the A individual is MRI, and the modality of the complete-structure real image of the head of the B individual is CT.

[0051] Step S102, different parts of the simulated object are extracted from the complete-structure real images of the multiple individuals, to obtain part-structure regions of the simulated object of the multiple individuals.

[0052] Illustratively, the intracranial part can be extracted from the complete-structure real image of the head of the A individual, to obtain a part-structure region of the head of the A individual; and the extracranial part can be extracted from the complete-structure real image of the head of the B individual, to obtain a part-structure region of the head of the B individual.

[0053] Illustratively, the trunk part and the head part can be extracted from the complete-structure real image of the human body of the A individual, to obtain a part-structure region of the human body of the A individual; and the neck part and the limb part can be extracted from the complete-structure real image of the human body of the B individual, to obtain a part-structure region of the human body of the B individual.

[0054] The part-structure region mainly describes the outline / shape of the corresponding part of the simulated object. Illustratively, the neck part is extracted from the complete-structure real image, to obtain a part-structure region, which mainly describes the outline / shape of the neck.

[0055] Step S103, registration is performed between the complete-structure real images of the multiple individuals, to obtain registration information.

[0056] At least one part of the simulated object is in the complete structure real image of the plurality of individuals, and thus, the complete structure real image of the plurality of individuals can be registered to obtain registration information.

[0057] Exemplarily, the complete structure real image of the A individual about the head and the complete structure real image of the B individual about the head both include the extracranial part and the intracranial part of the head, and based on this, the complete structure real image of the A individual and the complete structure real image of the B individual can be registered to obtain registration information.

[0058] Exemplarily, the complete structure real image of the A individual about the head and the complete structure real image of the B individual about the head both include the extracranial part and the intracranial part of the head, and based on this, the complete structure real image of the A individual and the complete structure real image of the B individual can be registered to obtain registration information.

[0059] Step S104: Based on the registration information, the part structure region of the simulated object of the plurality of individuals is unified into the same image space to obtain a complete structure simulation image of the simulated object.

[0060] When image simulation is performed in a 2D layer, the complete structure real image used is 2D, and the complete structure simulation image obtained is 2D; when image simulation is performed in a 3D layer, the complete structure real image used is 3D, and the complete structure simulation image obtained is 3D.

[0061] Exemplarily, since the head includes the intracranial part in the part structure region of the A individual, and the head includes the extracranial part in the part structure region of the B individual, after obtaining the registration information, the head in the part structure region of the A individual and in the part structure region of the B individual are unified into the same image space, and a complete structure simulation image of the head can be obtained.

[0062] Exemplarily, since the human body includes the trunk part and the head part in the part structure region of the A individual, and the human body includes the neck part and the limb part in the part structure region of the B individual, after obtaining the registration information, the human body in the part structure region of the A individual and in the part structure region of the B individual are unified into the same image space, and a complete structure simulation image of the human body can be obtained.

[0063] The complete structure simulation image mainly describes the outline / shape of each part constituting the simulated object, the complete structure real image is obtained based on real data collected by a medical imaging device (such as a CT device, an MRI device), and the complete structure simulation image is simulated based on the steps S101 to S104.

[0064] In the above embodiment, after obtaining the complete structure real images of the simulated object in multiple individuals, different parts are extracted from the complete structure real images of the simulated object in multiple individuals to obtain partial structure regions of the simulated object in multiple individuals; registration is performed between the complete structure real images of multiple individuals to obtain registration information; and based on the registration information, the partial structure regions of the simulated object in multiple individuals are unified into the same image space. Through registration, the structures of different parts of the simulated object in multiple individuals can be combined to form a large number of complete structure simulation images close to real data, which provides data support for algorithm development under the condition of meeting individual privacy protection requirements.

[0065] In one embodiment, the extracting different parts from the complete structure real images of the simulated object in multiple individuals in step S102 comprises Figure 2 The steps shown are: step S201, performing structure division on each complete structure real image respectively; and step S202, extracting different parts from the complete structure real images of the simulated object in multiple individuals based on the structure division results.

[0066] Illustratively, the head includes an extracranial part and an intracranial part. After obtaining the complete structure real images of the head, the complete structure real images of the head in A individuals can be subjected to structure division to obtain extracranial part structure regions and intracranial part structure regions of the head in A individuals. The brain parenchyma of the intracranial part can be further divided into regions such as cerebellum and brainstem, so that the intracranial part structure regions can be subjected to regional division to determine each region such as cerebellum and brainstem on the intracranial part structure regions.

[0067] Then, the complete structure real images of the head in B individuals can be subjected to structure division to obtain extracranial part structure regions of the head in B individuals. The brain parenchyma regions of the intracranial part structure regions of the head in A individuals are mapped into the image space where the extracranial part structure regions of the head in B individuals are located to obtain complete structure simulation images of the head.

[0068] Illustratively, the human body includes a head, a neck, a trunk and limbs. The complete structure real images of the human body in A individuals can be subjected to structure division to obtain head part structure regions and trunk part structure regions of the human body in A individuals. The complete structure real images of the human body in B individuals can be subjected to structure division to obtain neck part structure regions and limb part structure regions of the human body in B individuals. The head part structure regions and the trunk part structure regions of the human body in A individuals are mapped into the image space where the neck part structure regions and the limb part structure regions of the human body in B individuals are located to obtain complete structure simulation images of the human body.

[0069] In one embodiment, the step of unifying the partial structure regions of the plurality of subjects into the same image space based on the registration information to obtain the complete structure simulation image of the simulated object comprises: determining a target partial structure region in the partial structure regions of the plurality of subjects; mapping non-target partial structure regions into the image space where the target partial structure region is located based on the registration information to obtain the complete structure simulation image of the simulated object.

[0070] For example, in the intracranial partial real image of the A subject and the extracranial partial real image of the B subject, the extracranial partial structure region of the B subject can be taken as the target partial structure region. According to the registration information, the regions of the intracranial partial structure region of the A subject are mapped into the image space where the extracranial partial structure region of the B subject is located, so as to combine the regions of the intracranial part onto the extracranial part of the B subject to obtain the complete structure simulation image of the head.

[0071] In the above embodiment, after taking the extracranial partial structure region of a subject as the target partial structure region, it is not necessary to map the extracranial partial structure region of the subject, thereby improving the processing efficiency.

[0072] In one embodiment, the step of unifying the partial structure regions of the plurality of subjects into the same image space based on the registration information to obtain the complete structure simulation image of the simulated object comprises: unifying the partial structure regions of the plurality of subjects into the same image space based on the registration information to obtain a structure merging image; judging whether the relative positional relationship between different parts in the structure merging image meets the structure requirement of the simulated object; if not, correcting the structure merging image to obtain the complete structure simulation image of the simulated object.

[0073] Since the different parts of the simulated object are not derived from the same subject but from a plurality of subjects, after unifying the partial structure regions of the plurality of subjects into the same image space, it can be judged whether the relative positional relationship between the parts meets the structure requirement of the simulated object.

[0074] The structure requirement of the simulated object, for example, the liver can be divided into eight parts, and there is a relative positional relationship between each part. In the structure requirement of the liver, the seventh part is adjacent to the eighth part and the sixth part, respectively, and the contact position of the seventh part and the eighth part should be mutually embedded without any gap.

[0075] If the relative positional relationship between the parts does not meet the structure requirement of the simulated object, the structure merging image can be corrected to obtain the complete structure simulation image meeting the structure requirement.

[0076] Further, judging whether the relative position relationship between different parts in the structure-merged image meets the structure requirement of the simulated object comprises: judging whether parts that should not overlap in the structure-merged image overlap according to the structure requirement of the simulated object.

[0077] For example, in the structure requirement of the liver, the seventh part is adjacent to the eighth part, and the seventh part and the eighth part should not overlap. Therefore, after the structure-merged image is obtained by unifying the partial structure regions of the simulated object in multiple bodies to the same image space, it can be judged whether the parts that should not overlap overlap. If overlap occurs, it means that the structure-merged image does not meet the structure requirement of the simulated object. The structure-merged image can be corrected by using an AI algorithm to obtain a complete structure simulation image that meets the structure requirement.

[0078] Further, judging whether the relative position relationship between different parts in the structure-merged image meets the structure requirement of the simulated object comprises: judging whether parts that should not overlap in the structure-merged image overlap according to the structure requirement of the simulated object.

[0079] For example, in the structure requirement of the liver, the seventh part is adjacent to the eighth part, and the seventh part and the eighth part should not overlap. Therefore, after the structure-merged image is obtained by unifying the partial structure regions of the simulated object in multiple bodies to the same image space, it can be judged whether the parts that should not overlap overlap. If overlap occurs, it means that the structure-merged image does not meet the structure requirement of the simulated object. The structure-merged image can be corrected by using an AI algorithm to obtain a complete structure simulation image that meets the structure requirement.

[0080] In one embodiment, after obtaining the complete structure simulation image of the simulated object, the method provided by the present application further comprises: obtaining pixel statistical values of the simulated object in each part; and filling in the corresponding pixel statistical values in each part of the complete structure simulation image of the simulated object.

[0081] The imaging modality corresponding to the pixel value of the complete structure simulation image of the simulated object can be consistent with the imaging modality corresponding to the pixel value of the complete structure real image of the simulated object. For example, the pixel value of the complete structure simulation image of the simulated object is a CT value, and the pixel value of the complete structure real image of the simulated object is also a CT value. For another example, the pixel value of the complete structure simulation image of the simulated object is an MR value, and the pixel value of the complete structure real image of the simulated object is also an MR value.

[0082] For example, if you want to obtain a PET type simulation image of the complete structure of the skull, you can obtain the PET pixel statistics of each part of the simulated object (such as the skull, cerebellum, and brainstem), and fill in the corresponding PET pixel statistics in each part of the complete structure simulation image of the skull, thereby obtaining a PET simulation image of the skull.

[0083] The method for obtaining structural simulation images provided in this application can be applied to skull simulation, and the simulation results are as follows: Figure 3 As shown, Figure 3 (a) to (c) are different views of the same complete structure simulation image. Figure 3 (d) to (f) are different views of the same complete structure simulation image. Figure 3 (g) to (i) are different views of the same complete structure simulation image; Figure 3 (a) to (c) correspond to the complete structure simulation images, Figure 3 (d) to (f) correspond to the complete structure simulation images and Figure 3 (g) to (i) correspond to complete structure simulation images. The skull parts of these three complete structure simulation images are from the same individual, for example, from individual A. The brain areas of the brain parenchyma of these three complete structure simulation images are from different individuals, for example, from individuals B, C and D respectively.

[0084] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0085] Based on the same inventive concept, embodiments of the present application also provide a device for acquiring structural simulation images for implementing the aforementioned method for acquiring structural simulation images. The solution to the problem provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the device for acquiring structural simulation images provided below can be found in the aforementioned limitations of the method for acquiring structural simulation images, and will not be further elaborated here.

[0086] In one embodiment, Figure 4As shown, an acquisition device of a structural simulation image is provided, comprising:

[0087] a real image acquisition module 401, configured to acquire complete structure real images of a simulated object in multiple subjects;

[0088] a part extraction module 402, configured to extract different parts from the complete structure real images of the simulated object in multiple subjects, to obtain partial structure regions of the simulated object in multiple subjects;

[0089] a registration module 403, configured to register the complete structure real images of multiple subjects, to obtain registration information;

[0090] a simulation image acquisition module 404, configured to unify the partial structure regions of the simulated object in multiple subjects into a same image space based on the registration information, to obtain a complete structure simulation image of the simulated object.

[0091] In one embodiment, the part extraction module 402 is further configured to: perform structural division on each of the complete structure real images respectively; and extract different parts from the complete structure real images of the simulated object in multiple subjects based on a result of the structural division.

[0092] In one embodiment, the simulation image acquisition module 404 is further configured to: determine a target partial structure region in the partial structure regions of multiple subjects; and map non-target partial structure regions into an image space where the target partial structure region is located based on the registration information, to obtain the complete structure simulation image of the simulated object.

[0093] In one embodiment, the simulation image acquisition module 404 is further configured to: unify the partial structure regions of the simulated object in multiple subjects into a same image space based on the registration information, to obtain a structure merged image; judge whether a relative positional relationship between different parts in the structure merged image meets a structure requirement of the simulated object; and if not, correct the structure merged image, to obtain the complete structure simulation image of the simulated object.

[0094] In one embodiment, the simulation image acquisition module 404 is further configured to: judge whether there is an overlap between parts that should not overlap in the structure merged image according to the structure requirement of the simulated object; and / or judge whether parts that should be embedded in the structure merged image are embedded according to the structure requirement of the simulated object.

[0095] In one embodiment, the device further comprises a pixel value filling module, configured to: acquire pixel statistical values of the simulated object in each part; and fill in corresponding pixel statistical values in each part of the complete structure simulation image of the simulated object.

[0096] In one embodiment, in the complete structure real images of the plurality of persons, the modalities of the complete structure real images of two persons are different.

[0097] The modules in the structure simulation image acquisition device described above can be implemented by software, hardware, and combinations thereof, in whole or in part. The modules described above can be embedded in the processor in the computer device in hardware form or independent of the processor in the computer device, or can be stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the modules.

[0098] In one exemplary embodiment, a computer device is provided, the internal structure diagram of which can be as shown in Figure 5 The computer device includes a processor, a memory, an input / output interface (I / O), and a communication interface. The processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The database of the computer device is configured to store medical image data. The input / output interface of the computer device is configured to exchange information between the processor and external devices. The communication interface of the computer device is configured to communicate with terminals outside through a network connection. The computer program is executed by the processor to implement a structure simulation image acquisition method.

[0099] Those skilled in the art can understand that Figure 5 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0100] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps in the method embodiments described above.

[0101] In one embodiment, a computer readable storage medium is provided, which stores a computer program. The computer program is executed by the processor to implement the steps in the method embodiments described above.

[0102] In one embodiment, a computer program product is provided, and a computer program is stored in the computer program product. The computer program is executed by a processor to perform the steps of each of the above-mentioned method embodiments.

[0103] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant regulations.

[0104] It can be understood by those skilled in the art that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiments. Any reference to memory, database or other medium used in the embodiments provided by the present 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 storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided by the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided by the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0105] Any combination of the technical features in the above embodiments can be made, and for the sake of brevity, not all possible combinations are described, however, any combination of the technical features is deemed to be within the scope of the present disclosure as long as there is no inconsistency.

[0106] The above embodiments only express several implementation manners of the present application, and the description is relatively specific and detailed, but it should not be understood as a limitation on the patent scope of the present application. It should be pointed out that for ordinary skilled persons in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method for acquiring a structural simulation image, characterized in that: The method comprises: Obtain the complete structural real image of the simulated object in multiple bodies; Extracting different parts from the complete structural real images of the simulated object in multiple bodies to obtain partial structural regions of the simulated object in multiple bodies; Perform registration between the complete structural real images of multiple bodies to obtain registration information; Based on the registration information, partial structural regions of the simulated object in multiple bodies are unified into the same image space to obtain a complete structural simulation image of the simulated object.

2. The method according to claim 1, characterized in that Extracting different parts from the complete structural real images of the simulated object in multiple bodies includes: Performing structural division on each of the complete structural real images respectively; Based on the result of the structural division, different parts are extracted from the complete structural real images of the simulated object in multiple bodies.

3. The method according to claim 1, characterized in that Based on the registration information, partial structural regions of the simulated object in multiple bodies are unified into the same image space to obtain a complete structural simulation image of the simulated object, including: determining a target partial structure region among the partial structure regions of the plurality of bodies; Based on the registration information, the non-target partial structure region is mapped to the image space where the target partial structure region is located, so as to obtain a complete structural simulation image of the simulated object.

4. The method according to claim 1, wherein Based on the registration information, partial structural regions of the simulated object in multiple bodies are unified into the same image space to obtain a complete structural simulation image of the simulated object, including: Based on the registration information, unifying the partial structural regions of the simulated object in multiple bodies into the same image space to obtain a structural merged image; Determining whether the relative positional relationship between different parts in the structural merged image meets the structural requirements of the simulated object; If not, the structure merged image is corrected to obtain a complete structure simulation image of the simulated object.

5. The method according to claim 4, characterized in that Determining whether the relative positional relationship between different parts in the structural merged image meets the structural requirements of the simulated object includes: According to the structural requirements of the simulated object, determining whether there is overlap between parts that should not overlap in the structural merged image; and / or, According to the structural requirements of the simulated object, it is determined whether the parts that should be embedded in the structural merged image are embedded.

6. The method according to claim 1, characterized in that After obtaining the complete structural simulation image of the simulated object, the method further includes: Obtaining pixel statistics of each part of the simulated object; In each part of the complete structural simulation image of the simulated object, corresponding pixel statistics are filled in.

7. The method according to claim 1, characterized in that Among the complete structural true images of multiple individuals, the modalities of the complete structural true images of two individuals are different.

8. A device for acquiring a structural simulation image, characterized in that: The device comprises: A real image acquisition module is used to obtain the complete structural real images of the simulated object in multiple bodies; A part extraction module is used to extract different parts from the complete structural real images of the simulated object in multiple bodies to obtain partial structural regions of the simulated object in multiple bodies; A registration module is used to register the complete structural real images of multiple bodies to obtain registration information; The simulation image acquisition module is used to unify the partial structural regions of the simulated object in multiple bodies into the same image space based on the registration information to obtain a complete structural simulation image of the simulated object.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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