CN113838156A - Image reconstruction method and system, storage medium and CT (computed tomography) equipment - Google Patents

Image reconstruction method and system, storage medium and CT (computed tomography) equipment Download PDF

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CN113838156A
CN113838156A CN202110998140.2A CN202110998140A CN113838156A CN 113838156 A CN113838156 A CN 113838156A CN 202110998140 A CN202110998140 A CN 202110998140A CN 113838156 A CN113838156 A CN 113838156A
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reconstruction
image reconstruction
image
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multiplexing
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CN113838156B (en
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楼珊珊
刘长坤
何建
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Neusoft Medical Systems Co Ltd
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Neusoft Medical Systems Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • G06T11/003Reconstruction from projections, e.g. tomography
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/02Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03Computerised tomographs
    • A61B6/032Transmission computed tomography [CT]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/52Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5211Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The invention provides an image reconstruction method and system, a storage medium and CT equipment, wherein the method comprises the following steps: acquiring a task command sequence comprising a plurality of image reconstruction tasks; each image reconstruction task comprises a plurality of reconstruction links; analyzing the task command sequence, and selecting at least one multiplexing reconstruction link with the same output result from at least two image reconstruction tasks; acquiring residual reconstruction links of at least two image reconstruction tasks except for a multiplexing reconstruction link; creating a plurality of concurrent examples according to the remaining reconstruction links in each image reconstruction task; and executing a multiplexing reconstruction link and a plurality of concurrent instances to obtain a reconstructed image corresponding to each image reconstruction task. The scheme provided by the invention has the characteristics of high multiplexing degree of the data of multiple reconstruction tasks corresponding to the same scanning and the output results of the same reconstruction link, effective saving of computing resources, and capability of utilizing the same intermediate result multiplexed among the multiple tasks of the same data to save the computing amount.

Description

Image reconstruction method and system, storage medium and CT (computed tomography) equipment
Technical Field
The invention relates to the technical field of CT equipment, in particular to an image reconstruction method and system, a storage medium and CT equipment.
Background
CT (Computer Tomography) imaging technology is a major imaging technology in the clinical diagnosis field at present. The CT imaging is realized by carrying out back projection reconstruction on the attenuation signal of the X-ray passing through the detected object, so that the specific image of the detected object dissecting plain film is restored.
The clinical application habit of the CT system is generally based on the diagnostic requirement of CT imaging, and multiple forms of reconstruction results, such as images with different thicknesses and intervals, resolution images with different tissue details, etc., are reconstructed from one scan result of the same patient. Generally, according to the diagnosis requirement, different parameters are set based on the same original CT scan data to respectively reconstruct and obtain the reconstruction result, which is equivalent to that one scan data corresponds to a plurality of imaging tasks, and a plurality of forms of image results are respectively generated for diagnosis.
For any reconstruction task, multiple reconstruction links may be involved, parameters adopted by different reconstruction links may be different, and in the execution process of the conventional reconstruction task, repeated calculation may exist in each reconstruction link, which not only wastes calculation resources, but also fails to reasonably utilize resource space, and reduces reconstruction efficiency.
Disclosure of Invention
In view of the above, the present invention has been made to provide an image reconstruction method and system, a storage medium, and a CT apparatus that overcome or at least partially solve the above problems.
According to a first aspect of the present invention, there is provided an image reconstruction method of an electron computed tomography CT apparatus, comprising:
acquiring a task command sequence comprising a plurality of image reconstruction tasks; each image reconstruction task comprises a plurality of reconstruction links;
analyzing the task command sequence, and selecting at least one multiplexing reconstruction link with the same output result from at least two image reconstruction tasks;
acquiring residual reconstruction links of at least two image reconstruction tasks except the multiplexing reconstruction link, and creating a plurality of concurrent instances according to the residual reconstruction links in each image reconstruction task;
and executing the multiplexing reconstruction link and the plurality of concurrent instances to obtain a reconstructed image corresponding to each image reconstruction task.
Optionally, the analyzing the task command sequence, and selecting at least one multiplexing reconstruction link with the same output result from at least two image reconstruction tasks includes:
analyzing the task command sequence to obtain imaging parameters;
for any image reconstruction task, determining input parameters and used sub-image construction parameters of the image reconstruction task in each reconstruction link;
and selecting a reconstruction link with the same input parameters and sub-image reconstruction parameters from at least two image reconstruction tasks as the multiplexing reconstruction link.
Optionally, the method further comprises:
for any image reconstruction task, acquiring sub-image reconstruction parameters used by each multiplexing reconstruction link in the image reconstruction task as sensitive parameters, and forming and generating sensitive parameter word identifiers by using the sensitive parameters;
judging whether the sensitive parameters meet multiplexing rules or not based on the sensitive parameter word identifiers corresponding to the image reconstruction tasks;
and if so, multiplexing the reconstruction link and the plurality of concurrent instances.
Optionally, the generating a sensitive parameter identifier by using the sensitive parameter component includes:
and splicing the sensitive parameters corresponding to the multiplexing reconstruction link according to a set rule to obtain a sensitive parameter identifier, or selecting specified characters from the sensitive parameters to form the sensitive parameter identifier.
Optionally, the executing the multiplexing reconstruction link and the multiple concurrent instances to obtain a reconstructed image corresponding to each of the image reconstruction tasks includes:
sequentially and serially executing each multiplexing reconstruction link to obtain a multiplexing intermediate result;
and taking the multiplexing intermediate result as an input parameter of each concurrent instance to execute each concurrent instance in parallel so as to generate a reconstructed image corresponding to each image reconstruction task.
Optionally, the method further comprises:
if the target concurrent instance with the error is monitored in the executing process of the multiple concurrent instances, ending the operation of the concurrent instances and generating an error message;
and after the other concurrent instances except the concurrent instance in the plurality of concurrent instances are executed, regenerating and executing the concurrent instances.
Optionally, after the multiplexing reconstruction link and the multiple concurrent instances are executed to obtain the reconstructed images corresponding to the image reconstruction tasks, the method further includes:
collecting the information of the completion of the execution generated by each concurrent instance;
and starting a resource recovery flow, and recovering resources occupied by the concurrent execution of the multiple concurrent instances.
According to a second aspect of the present invention, there is provided an image reconstruction system comprising:
the task acquisition module is used for acquiring a task command sequence comprising a plurality of image reconstruction tasks; each image reconstruction task comprises a plurality of reconstruction links;
the parameter matching module is used for analyzing the task command sequence and selecting at least one multiplexing reconstruction link with the same output result from at least two image reconstruction tasks;
the image reconstruction module is used for acquiring the rest reconstruction links of at least two image reconstruction tasks except the multiplexing reconstruction link and creating a plurality of concurrent examples according to the rest reconstruction links in each image reconstruction task; and executing the multiplexing reconstruction link and the plurality of concurrent instances to obtain a reconstructed image corresponding to each image reconstruction task.
According to a third aspect of the present invention, there is provided a computer-readable storage medium for storing program code for performing the image reconstruction method of any one of the first aspect.
According to a fourth aspect of the present invention, there is provided an electronic computed tomography, CT, apparatus, characterized in that the CT apparatus comprises a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to perform the image reconstruction method of any of the first aspect according to instructions in the program code.
The invention provides an image reconstruction method and system, a storage medium and a CT device, wherein the image reconstruction method of the CT device determines a reusable reconstruction link and a non-reusable residual reconstruction link in a plurality of image reconstruction tasks corresponding to the same scanning task by acquiring and analyzing reconstruction parameters in a task command sequence.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart illustrating an image reconstruction method according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating a conventional image reconstruction task;
FIG. 3 is a schematic diagram illustrating an image reconstruction implementation according to an embodiment of the present invention;
fig. 4 shows a schematic structural diagram of an image reconstruction system according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
A CT imaging system generally includes three parts, namely a gantry, a main control unit, and a reconstruction unit. The machine frame is responsible for emitting X-rays, receiving attenuation signal data (the attenuation signal data is called as raw data for short) and transmitting the raw data to the reconstruction unit; the main control unit is used for controlling the operation of the rack, the task dispatching of the reconstruction unit and the like; the reconstruction unit is used for receiving the raw data and carrying out image reconstruction by using the raw data to generate a section image of the detected physical.
Generally, the operating modes of a CT imaging system are: the method comprises the steps of preparing a detected object, setting relevant parameters by an examination technician according to the specific condition of the detected object, and simultaneously arranging a plurality of off-line reconstruction tasks according to diagnosis requirements, wherein the relevant parameters of the off-line reconstruction tasks may be different.
When the object to be examined is ready, the examination technician controls the rack to start paying off through the main control unit, and the rack simultaneously transmits the received raw data to the reconstruction unit. And meanwhile, the main control unit issues a reconstruction command to the reconstruction unit. After receiving the reconstruction command, the reconstruction unit starts preparation before image reconstruction, including calculation resource preparation, calculation parameter preparation and the like. And the unit to be reconstructed starts to execute the reconstruction task after receiving the raw data from the rack. The specific flow of the reconstruction task executed by the reconstruction unit is as follows: reading data- > preprocessing- > image reconstruction- > image post-processing- > sending a reconstruction result to the main control unit. The reading data is specifically reading raw data transmitted from the rack; the pretreatment specifically comprises the operations of correcting raw data, recombining raw data and the like; image reconstruction is a process of performing back projection using an attenuation signal passing through an object under examination, whereby conversion from data into an image has been achieved; the image post-processing is specifically an image processing technology, and the image is subjected to operations such as denoising, contrast enhancement and the like by using methods such as filtering, convolution and the like. The reconstruction process of the reconstruction unit described above is only a process of one reconstruction task, which may generate one form of image result.
Fig. 1 is a flowchart illustrating an image reconstruction method according to an embodiment of the present invention, which can be applied to a CT apparatus. As can be seen from fig. 1, the image reconstruction method provided in the embodiment of the present invention at least includes the following steps S101 to S105.
S101, acquiring a task command sequence comprising a plurality of image reconstruction tasks; each image reconstruction task comprises a plurality of reconstruction links.
When the CT equipment carries out image reconstruction, individual parameters are modified according to diagnosis requirements, and then other types of image results are reconstructed. Such as modifying the image field of view, image spacing, image thickness, filtering parameters, etc. Thus, in general, an examination task of an object under examination includes a scanning task and a plurality of (two or more) image reconstruction tasks for the scanning result, which may be collectively referred to as a task command sequence. The task command sequence in this embodiment may be generated based on imaging parameters input by the examination technician corresponding to the CT apparatus.
For any image reconstruction task, the method comprises a plurality of reconstruction links, wherein the specifically executed task of each reconstruction link is different, for any reconstruction link, the output result of the reconstruction link is output after the corresponding task is executed by the input parameter and the imaging parameter, and the output result is used as the input parameter of the next reconstruction link of the reconstruction link. The task links of the image reconstruction task may include links such as data compression processing, data generation, data conversion, and the like for different types of parameters.
S102, analyzing the task command sequence, and selecting at least one multiplexing reconstruction link with the same output result from at least two image reconstruction tasks.
After the task command sequence is obtained, the task command sequence can be analyzed to determine a multiplexing reconstruction link of each image reconstruction task. For a plurality of image reconstruction tasks of the same scanning data, the reconstruction links corresponding to the reconstruction processes are the same, and different places are parameters used by each reconstruction link. And the reconstruction links belonging to different image reconstruction tasks are equivalent to output results of the links which can be reused by other reconstruction processes if corresponding parameters are the same, and can not be reused if the parameters are different. When the corresponding parameters are the same before reaching a certain reconstruction link, the reconstruction processes can execute the processing of the next link based on the intermediate result output by the same link and by combining different parameters used by the reconstruction processes. In this embodiment, the multiplexing reconstruction link may be an initial reconstruction link in at least two image reconstruction tasks, or two or more continuous reconstruction links starting from the initial reconstruction link.
As mentioned above, the task command sequence may include a plurality of image reconstruction tasks, and the multiplexed reconstruction link may be common to all reconstruction tasks or may be common to a part of the reconstruction tasks, so in this embodiment, the image reconstruction task having the multiplexed reconstruction link in step S102 may be all the image reconstruction tasks in the task command sequence or may be a part of the image reconstruction tasks in the task command sequence.
Optionally, the step S102 of parsing the task command sequence and selecting at least one multiplexing reconstruction link with the same output result may include:
s102-1, analyzing the task command sequence to obtain imaging parameters.
As described above, when the main control unit issues the image task to the reconstruction unit, the main control unit issues the relevant parameters. These parameters are used at different stages of the reconstruction process to generate different forms of the target image. For example, the parameters such as collimation, thread pitch and image-building view can be used for reconstruction, the parameters related to denoising and contrast can be used for image post-processing, and the parameters can be used as image-building parameters acquired by analyzing a task command sequence.
S102-2, for any image reconstruction task, determining input parameters of the image reconstruction task in each reconstruction link and used sub-image reconstruction parameters.
S102-3, selecting a reconstruction link with the same input parameters and sub-image reconstruction parameters from at least two image reconstruction tasks as a multiplexing reconstruction link.
If the input of a certain reconstruction link is the same and the used parameters are also the same, the output result of the link can be considered to be the same, and at this time, the reconstruction link can be considered to be multiplexed in the image reconstruction process. For example, it is assumed that the task command sequence includes an image reconstruction task 1 and an image reconstruction task 2, where the image reconstruction task 1 includes five reconstruction links including P11, P12, P13, P14, and P15, and the image reconstruction task 2 includes five reconstruction links including P21, P22, P23, P24, and P25, where input parameters and used sub-image parameters of the reconstruction links P11 to P13 in the image reconstruction task 1 and the reconstruction links P21 to P23 in the image reconstruction task 2 are the same, and the determined reconstruction links P11 to P13 and P21 to P23 are multiplexed reconstruction links, and optionally, the multiplexed reconstruction links may be one of a plurality of reconstruction links or two or more continuous reconstruction links.
S103, obtaining the remaining reconstruction links of the at least two image reconstruction tasks except the multiplexing reconstruction link, and creating a plurality of concurrent instances according to the remaining reconstruction links in each image reconstruction task, wherein the plurality of concurrent instances are used for concurrent execution.
As described above, the image reconstruction task includes a plurality of reconstruction links, and in addition to the above-described multiplexing reconstruction link, other reconstruction links are also specifically included, which are referred to as residual reconstruction links in this embodiment. For example, suppose that the image reconstruction task 1 includes five reconstruction links P11-P15, where P11-P13 are multiplexed reconstruction links, and then P14-P15 belong to the remaining reconstruction links. Similarly, P24-P25 are the remaining reconstruction links for image reconstruction task 2.
Further, for the remaining reconstruction links of each image reconstruction task, a plurality of concurrent instances can be created according to the remaining reconstruction links in each image reconstruction task, and the plurality of concurrent instances are used for concurrent execution.
Assuming that there are image reconstruction task 1 and image reconstruction task 2, concurrent example 1 can be created for reconstruction links P14-P15 in image reconstruction task 1, and concurrent example 2 can be created for reconstruction links P24-P25 in image reconstruction task 2. Wherein, the concurrent instance 1 and the concurrent instance 2 can be executed concurrently.
And S104, executing a multiplexing reconstruction link and a plurality of concurrent instances to obtain a reconstructed image corresponding to each image reconstruction task.
As described in the above embodiments, the multiplexing reconstruction link has the same input parameters and the used imaging parameters (i.e. the above-mentioned sensitive parameters) in each image reconstruction task, and therefore, the multiplexing reconstruction link only needs to be executed once. Specifically, each multiplexing reconstruction link can be executed serially in sequence to obtain a multiplexing intermediate result.
For each reconstruction link, the sub-image-creating parameters can have a mapping relation, wherein the sub-image-creating parameters belong to a part of the image-creating parameters, and the embodiment can clarify the scope of each parameter, that is, the parameters used by each image-creating link, so that the multiplexing image-creating link corresponding to the image reconstruction task can be accurately judged in the subsequent process.
Continuing to take the multiplexing reconstruction links P11-P13 and P21-P23 in the above embodiments as examples, since the input parameters and the used sub-reconstruction parameters of the reconstruction links P11-P13 and P21-P23 are the same, the multiplexing reconstruction links P11-P13 can be sequentially executed until the multiplexing reconstruction link is executed, and a multiplexing intermediate result is obtained. Namely, the multiplexing intermediate result is an output result corresponding to the last multiplexing reconstruction link in the multiplexing reconstruction links.
In the embodiment of the invention, the default multiplexing reconstruction link is before the rest reconstruction link, and after the first data result is obtained, the multiplexing intermediate result can be further used as an input parameter of each concurrent instance to execute each concurrent instance in parallel so as to generate a reconstructed image corresponding to each image reconstruction task. In this embodiment, multiple concurrent instances may be correspondingly created by using a computer parallel technology, and the multiple concurrent instances may be executed concurrently, and their respective imaging parameters are read to generate different types of image results.
The embodiment of the invention is based on the intermediate result multiplexing principle, and utilizes the computer parallel technology to improve the integral image establishing speed of the task sequence of the same-scanning multi-off-line task. Because the intermediate result needs to be multiplexed, the parameters used in each link of the reconstruction process need to be investigated to determine the link that can be multiplexed maximally in the reconstruction process.
After the multiplexing link and the sensitive parameters are determined, a parallel technology of a computer is utilized, and in a next reconstruction link (namely, a non-multiplexing link, which is called as a residual reconstruction link in the embodiment) of the multiplexing reconstruction link of the reconstruction process, multi-task concurrent execution is started. The multiplexing links of the reconstruction process are serial and used for generating a reusable intermediate result, and in the multi-task concurrent execution, a plurality of concurrent tasks generate different image results based on the same intermediate result and different imaging parameters so as to meet the diagnosis requirement. Therefore, a plurality of reconstruction tasks of the same scanning can be completely finished in one task, and the output image result is consistent with the result output by the plurality of reconstruction tasks. The optimized reconstruction process saves the image construction preparation time of a plurality of reconstruction tasks and the execution time of a reusable link, and shortens the total image construction time of the task sequence.
In an optional embodiment of the present invention, before the step S104 executes the multiplexing reconstruction link and the multiple concurrent instances, the multiplexing reconstruction link may be further verified. For any image reconstruction task, acquiring sub-image reconstruction parameters used by each multiplexing reconstruction link in the image reconstruction task as sensitive parameters, and forming and generating sensitive parameter word identifiers by using the sensitive parameters; judging whether the sensitive parameters meet multiplexing rules or not based on the sensitive parameter word identifiers corresponding to the image reconstruction tasks; if the data are matched, executing a multiplexing reconstruction link and a residual reconstruction link.
The sensitive parameters corresponding to each multiplexing reconstruction link can be determined according to the imaging parameters obtained by analyzing the task command sequence, and when the sensitive parameters are determined to accord with the multiplexing rules, the subsequent steps can be further executed. Optionally, when the sensitive parameter is determined to conform to the multiplexing rule, a multiplexing flag may be added for identifying that the multiplexing verification is passed.
In this embodiment, the sub-image reconstruction parameters used in the multiplexing reconstruction link may be referred to as sensitive parameters. The sensitive parameters determine whether the same scanning multi-construction task can multiplex the intermediate result. After links which can be reused in the reconstruction process are determined, sensitive parameters are determined. If the imaging parameters corresponding to the multiplexing link are the same, the intermediate results can be multiplexed by a plurality of reconstruction tasks, and if the sensitive parameters are different, the intermediate results cannot be multiplexed, and the reconstruction process needs to start from step S101 again.
When judging whether the sensitive parameters are multiplexed with multiplexing rules, the sensitive parameters corresponding to the multiplexing reconstruction link can be spliced according to a set rule to form a sensitive parameter identifier, and image parameters contained in different reconstruction tasks can be combined into a specific sensitive parameter identifier. The sensitive parameters corresponding to the multiplexing reconstruction link may be spliced according to a set rule to obtain a sensitive parameter identifier, or a specific character is selected from the sensitive parameters to form the sensitive parameter identifier, and the character string mode may be used as an example of a specific mode for characterizing the sensitive parameters, but is not limited to other specific implementation modes. The manner in which the sensitive parameter string is generated is schematically shown below.
Figure BDA0003234521390000101
Assume that the reconstruction command sequence includes an image reconstruction task 1 and an image reconstruction task 2, where "sensiveparam 1" represents the sensitive parameter identifier corresponding to the image reconstruction task 1, and "sensiveparam 2" represents the sensitive parameter identifier corresponding to the image reconstruction task 2. And assuming that when all the sensitive parameters in all the sensitive parameter identifications are the same, the multiplexing rule is satisfied and the subsequent reconstruction task execution process is executed. In the above embodiment, the multiplexing rule is satisfied if sensiveparam 1 ≠ sensiveparam 2, and the multiplexing rule is not satisfied if sensiveparam 1 ≠ sensiveparam 2. According to the method and the device, before the image reconstruction is executed, whether the sensitive parameters meet the multiplexing rule is further judged, so that the multiplexing reconstruction link is ensured to be determined accurately, the reconstruction process is smoother, and the image reconstruction efficiency is improved while the reconstruction process is simplified.
In the embodiment of the invention, if the target concurrent instance with the error is monitored in the executing process of the plurality of concurrent instances, the running of the concurrent instances is finished and an error message is generated; and after the other concurrent instances except the concurrent instance in the plurality of concurrent instances are executed, regenerating and executing the concurrent instances.
Optionally, the message generated by each concurrent instance to complete execution may also be collected; and starting a resource recovery flow, and recovering resources occupied by the concurrent execution of the multiple concurrent instances.
That is, when multiple concurrent instances are executed in parallel, the information synchronization and interaction work in the execution process of each concurrent instance can be monitored. For example, an error processing flow, a task ending state synchronization flow and the like are provided, each concurrent instance has an independent task channel, and when an error is generated in the task running process of an individual channel, error information needs to be fed back; while the execution of other concurrent instances cannot be affected by it. When the execution of the individual concurrent instances is completed, the task completion state needs to be fed back, the main control module of the CT device is responsible for managing the specific completion condition of each concurrent task, and the summary information is returned to the reconstruction unit. The multiple concurrent tasks are not affected mutually, and the rebuilding progress of the tasks may not be synchronous. Generally, the number of concurrent tasks is equal to the number of reconstruction tasks issued by the main control unit. When incompatible reconstruction tasks are distinguished, the number of concurrent tasks may be reduced, and only the reconstruction tasks satisfying the number of multiplexing rules are concurrently executed.
According to the image reconstruction method of the CT equipment, provided by the embodiment of the invention, the reusable reconstruction link and the non-reusable residual reconstruction link in the image reconstruction tasks corresponding to the same scanning task are determined by acquiring and analyzing the reconstruction parameters in the task command sequence, in the reconstruction process, the multiplexing degree of the data of the multiple reconstruction tasks corresponding to the same scanning and the output result of the same reconstruction link is high, repeated calculation does not exist, the calculation resources are effectively saved, the characteristics of saving the calculation amount by utilizing the same reusable intermediate result among the multiple tasks of the same data can be achieved, the purpose of mining the optimized space available in combination with the clinical actual condition is realized, and the clinical pain point problem can be well solved.
Furthermore, because the multiplexing reconstruction link has the same input parameters and sub-image reconstruction parameters, more links can be merged into the multiplexing part, thereby shortening the chain of the reconstruction process and improving the reconstruction speed; on the other hand, a computer parallel technology can be utilized, and different types of image results are generated simultaneously by utilizing one intermediate result in one reconstruction task, so that the image construction preparation time of each reconstruction task is eliminated, and the total reconstruction time is further shortened.
The image reconstruction method of the above-mentioned CT apparatus is explained in detail by an embodiment. The CT apparatus in this embodiment may include a gantry, a main control unit, and a reconstruction unit.
When the object to be examined is ready, the examination technician controls the rack to start paying off through the main control unit, and the rack simultaneously transmits the received raw data to the reconstruction unit. And meanwhile, the main control unit issues a reconstruction command to the reconstruction unit. After receiving the reconstruction command, the reconstruction unit starts preparation before image reconstruction, including calculation resource preparation, calculation parameter preparation and the like. And the unit to be reconstructed starts to execute the reconstruction task after receiving the raw data from the rack.
In general, the specific flow of the reconstruction task executed by the reconstruction unit is as follows: reading data- > preprocessing- > image reconstruction- > image post-processing- > sending a reconstruction result to the main control unit. The reading data is specifically reading raw data transmitted from the rack; the pretreatment specifically comprises the operations of correcting raw data, recombining raw data and the like; image reconstruction is a process of performing back projection using an attenuation signal passing through an object under examination, whereby conversion from data into an image has been achieved; the image post-processing is specifically an image processing technology, and the image is subjected to operations such as denoising, contrast enhancement and the like by using methods such as filtering, convolution and the like.
That is, the reconstruction unit may be specifically divided into three stages when performing the reconstruction task: the first stage is an image-building preparation stage which is responsible for preparing computing resources required by reconstruction, computing parameters to be used in the reconstruction process and the like; the second stage is an image construction execution stage, which needs to use the computing resources and the computing parameters determined in the image construction preparation stage to perform reconstruction operation on the raw data so as to generate an image; the third stage is a resource recovery stage, which performs recovery processing on the computing resources applied in the first stage so as to prevent unstable operation of the reconstruction system caused by resource leakage.
The image reconstruction method of the embodiment can be applied to the image reconstruction execution stage of the reconstruction unit in the CT device. Before the reconstruction unit starts to execute a reconstruction process, a task command sequence is generated by the main control unit according to the scanning parameters and the image reconstruction parameters, the task command sequence comprises a scanning task and two image reconstruction tasks which are an image reconstruction task 1 and an image reconstruction task 2 respectively, the two image reconstruction tasks are only different in image interval and image thickness according to the requirements of clinical diagnosis, the image reconstruction task 1 is a thin image task, and the image reconstruction task 2 is a thick image task. The main control unit collects the image-establishing parameter set by the examination technician to form a task command sequence and sends the task command sequence to the reconstruction unit. The reconstruction flow of the reconstruction unit is specifically described as follows.
1, after receiving a command sequence, a reconstruction unit analyzes the command sequence to obtain an image reconstruction task 1, an image reconstruction task 2 and corresponding reconstruction parameters; the image reconstruction task 1 comprises five reconstruction links P11, P12, P13, P14 and P15, and the image reconstruction task 2 comprises five reconstruction links P21, P22, P23, P24 and P25;
2, determining a multiplexing reconstruction link of the image reconstruction task 1 and the image reconstruction task 2; that is, it is determined that the input parameters and the used sub-imaging parameters corresponding to the reconstruction links P11, P12, P13 and the reconstruction links P21, P22, P23 are the same, which means that intermediate results up to the reconstruction links P13 and P23 can be multiplexed;
3, determining the remaining reconstruction links of the image reconstruction task 1 and the image reconstruction task 2; reconstruction links P14 and P15 in the image reconstruction task 1 are residual reconstruction links, and reconstruction links P24 and P25 in the image reconstruction task 2 are residual reconstruction links.
4, acquiring sub-reconstruction parameters corresponding to reconstruction links P11, P12 and P13 and reconstruction links P21, P22 and P23 as sensitive parameters;
and generating two groups of sensitive parameter word identifications according to the sensitive parameters of P11, P12, P13, P21, P22 and P23 respectively, and judging that the two groups of sensitive parameter word identifications are completely the same, wherein the sensitive parameters are determined to accord with the multiplexing rule.
5, generating a concurrency case 1 according to reconstruction links P14 and P15, and generating the concurrency case 1 according to reconstruction links P24 and P25; wherein, the concurrent example 1 and the concurrent example 2 can be executed concurrently and are respectively responsible for thin map reconstruction and thick map reconstruction.
And 6, serially executing reconstruction links P11, P12 and P13 (or serially executing reconstruction links P21, P22 and P23) to obtain a multiplexing intermediate result, wherein the multiplexing intermediate result can be used by subsequent concurrent instances at the same time. When executed to the reconstruction element P13 (or reconstruction element P23), the resulting multiplexed intermediate results may be sent to two concurrent instances, concurrent instance 1 and concurrent instance 2, simultaneously.
And 7, after the parallel example 1 and the parallel example 2 receive the multiplexing intermediate result, executing respective subsequent reconstruction links, and respectively generating a thin image and a thick image according to the image construction parameters corresponding to the respective examples. The two concurrent instances can be controlled by a single multitask concurrent control module to execute, and an image building completion message is sent to the multitask concurrent control module. And when the multitask concurrency control module receives the image construction end messages of the two concurrent instances, the multitask concurrency control module informs the reconstruction unit of the completion of the execution of the current task.
When an error occurs in one of the concurrent instances, the task in which the current instance is running is ended, and an image construction error message is sent to the multi-task concurrent control module. After receiving the message, the multitask concurrency control module temporarily stores the message, and when all the concurrent instances finish and send the message, the multitask concurrency control module sends the message I to the reconstruction unit. The reconstruction unit identifies that the current task has errors in individual concurrent instances, and feeds the error message back to the main control unit of the CT device, so that the reconstruction task is regenerated and executed again.
And 8, after receiving the task completion message, the reconstruction unit starts a resource recovery process, and the resource recovery process is also responsible for recovering the resources occupied by the multi-task concurrency control module.
Fig. 2 shows a schematic image reconstruction flow chart in the conventional scheme, and fig. 3 shows a schematic image reconstruction flow chart in an embodiment of the present invention. As can be seen from comparison, in the conventional scheme, for the reconstruction processes of the image reconstruction task 1 and the image reconstruction task 2, corresponding execution processes are required for the reconstruction links included therein, and repeated execution is also required for the reconstruction links P11, P12, and P13 and the reconstruction links P21, P22, and P23 having the same input parameters and sub-imaging parameters. According to the method provided by the embodiment, only one group of reconstruction links P11, P12 and P13 and reconstruction links P21, P22 and P23 needs to be executed through the newly added multiplexing reconstruction link, the flow determined by sensitive parameters of the multiplexing reconstruction link and the multitask concurrent control flow, and the complete execution of the image reconstruction task can be completed through the subsequent cooperative multi-task concurrent reconstruction. According to the method, a certain reconstruction link capable of realizing maximum intermediate result multiplexing is determined through the investigation of the algorithm of each link involved in the reconstruction process, and the multiplexing intermediate result of the reconstruction link is used for multiplexing of subsequent parallel instances, so that the concurrency system can be ensured to show the fastest image construction speed.
Based on the same inventive concept, an embodiment of the present invention further provides an image reconstruction system of an electronic computed tomography CT apparatus, as shown in fig. 4, the image reconstruction system of the CT apparatus provided in this embodiment may include a task obtaining module 410, a parameter matching module 420, an image reconstruction module 430, and a multitask concurrency control module 440.
A task obtaining module 410, configured to obtain a task command sequence including a plurality of image reconstruction tasks; each image reconstruction task comprises a plurality of reconstruction links;
the parameter matching module 420 is configured to parse the task command sequence, and select at least one multiplexing reconstruction link with the same output result from the at least two image reconstruction tasks;
the image reconstruction module 430 is configured to obtain remaining reconstruction links of the at least two image reconstruction tasks except for the multiplexing reconstruction link;
the multitask concurrency control module 440 is configured to create multiple concurrent instances according to remaining reconstruction links in each image reconstruction task, where the multiple concurrent instances are used for concurrent execution;
the image reconstruction module 430 is further configured to perform a multiplexing reconstruction procedure, and the multitask concurrency control module 440 is configured to obtain a reconstructed image corresponding to each image reconstruction task, where the multiple concurrent instances are multiple instances.
In an optional embodiment of the present invention, the parameter matching module 420 may further be configured to:
analyzing the task command sequence to obtain imaging parameters;
for any image reconstruction task, determining input parameters of the image reconstruction task in each reconstruction link and used sub-image reconstruction parameters;
and selecting a plurality of reconstruction links with the same input parameters and sub-image reconstruction parameters from at least two image reconstruction tasks as a plurality of multiplexing reconstruction links.
In an optional embodiment of the present invention, the parameter matching module 420 may further be configured to:
for any image reconstruction task, acquiring sub-image reconstruction parameters used by each multiplexing reconstruction link in the image reconstruction task as sensitive parameters, and forming and generating sensitive parameter word identifiers by using the sensitive parameters;
judging whether the sensitive parameters meet multiplexing rules or not based on the sensitive parameter word identifiers corresponding to the image reconstruction tasks;
and when the sensitive parameters accord with the multiplexing rule, executing a multiplexing reconstruction link and a plurality of concurrent instances.
In an optional embodiment of the present invention, the parameter matching module 420 may further be configured to:
and splicing the sensitive parameters corresponding to the multiplexing reconstruction link according to a set rule to obtain sensitive parameter identifications, or selecting specified characters from the sensitive parameters to form the sensitive parameter identifications.
In an optional embodiment of the present invention, the image reconstruction module 430 is further configured to sequentially and serially execute each multiplexing reconstruction link to obtain a multiplexing intermediate result;
the multitask concurrency control module 440 may be further configured to use the multiplexed intermediate result as an input parameter of each concurrent instance to execute each concurrent instance in parallel, so as to generate a reconstructed image corresponding to each image reconstruction task.
In an optional embodiment of the present invention, the image reconstruction module 430 may further be configured to:
and when the target concurrent instance with the error is monitored in the execution process of the plurality of concurrent instances, ending the operation of the concurrent instance and generating an error message.
In an optional embodiment of the present invention, the image reconstruction module 430 may further be configured to:
collecting the information generated by each concurrent instance and completing the execution;
and starting a resource recovery flow, and recovering resources occupied by the concurrent execution of the multiple concurrent instances.
The multitask concurrency control module in this embodiment is a part of the reconstruction unit, and the task to be executed corresponding to the generated concurrency instance is also a part of the reconstruction task chain, and is organized together with other reconstruction units to create a concurrency reconstruction system with the characteristic of multiplexing intermediate results. When a plurality of reconstruction tasks are processed by the traditional reconstruction process, image construction preparation, image construction and resource recovery are required to be completely executed in each process; the reconstruction concurrency system designed by the invention only needs one image construction preparation process, and the image construction stage can save a part of repeated image construction links based on the intermediate result multiplexing technology, thereby greatly improving the task throughput of the image construction system. Compared with the existing implementation mode, one reconstruction process can also multiplex the unchanged and reusable initial parameter calculation results in the imaging process, and the time for calculating, distributing and recovering corresponding resources for multiple times of the reusable results is saved. The image reconstruction system of the CT apparatus for the computed tomography in the present embodiment can be applied to the CT apparatus. For specific execution processes of each module in this embodiment, reference may be made to the description of the above method embodiment, and details are not described here again.
An embodiment of the present invention further provides a computer-readable storage medium, which is used for storing a program code, and the program code is used for executing the image reconstruction method of the above embodiment.
The embodiment of the invention also provides an electronic Computed Tomography (CT) device, which comprises a processor and a memory, wherein the processor is used for: the memory is used for storing the program codes and transmitting the program codes to the processor; the processor is configured to execute the image reconstruction method of the above-described embodiment according to instructions in the program code. In addition, the CT apparatus may further include a frame, a bulb tube, and other components, which are not described herein.
It is clear to those skilled in the art that the specific working processes of the above-described systems, devices, modules and units may refer to the corresponding processes in the foregoing method embodiments, and for the sake of brevity, further description is omitted here.
In addition, the functional units in the embodiments of the present invention may be physically independent of each other, two or more functional units may be integrated together, or all the functional units may be integrated in one processing unit. The integrated functional units may be implemented in the form of hardware, or in the form of software or firmware.
Those of ordinary skill in the art will understand that: the integrated functional units, if implemented in software and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computing device (e.g., a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention when the instructions are executed. And the aforementioned storage medium includes: u disk, removable hard disk, Read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program code.
Alternatively, all or part of the steps of implementing the foregoing method embodiments may be implemented by hardware (such as a computing device, e.g., a personal computer, a server, or a network device) associated with program instructions, which may be stored in a computer-readable storage medium, and when the program instructions are executed by a processor of the computing device, the computing device executes all or part of the steps of the method according to the embodiments of the present invention.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments can be modified or some or all of the technical features can be equivalently replaced within the spirit and principle of the present invention; such modifications or substitutions do not depart from the scope of the present invention.

Claims (10)

1. An image reconstruction method, comprising:
acquiring a task command sequence comprising a plurality of image reconstruction tasks; each image reconstruction task comprises a plurality of reconstruction links;
analyzing the task command sequence, and selecting at least one multiplexing reconstruction link with the same output result from at least two image reconstruction tasks;
acquiring residual reconstruction links of at least two image reconstruction tasks except the multiplexing reconstruction link, and creating a plurality of concurrent instances according to the residual reconstruction links in each image reconstruction task;
and executing the multiplexing reconstruction link and the plurality of concurrent instances to obtain a reconstructed image corresponding to each image reconstruction task.
2. The image reconstruction method according to claim 1, wherein the parsing the task command sequence and selecting at least one multiplexed reconstruction link having the same output result among at least two image reconstruction tasks comprises:
analyzing the task command sequence to obtain imaging parameters;
for any image reconstruction task, determining input parameters and used sub-image construction parameters of the image reconstruction task in each reconstruction link;
and selecting a reconstruction link with the same input parameters and sub-image reconstruction parameters from at least two image reconstruction tasks as the multiplexing reconstruction link.
3. The image reconstruction method of claim 1, further comprising:
for any image reconstruction task, acquiring sub-image reconstruction parameters used by each multiplexing reconstruction link in the image reconstruction task as sensitive parameters, and forming and generating sensitive parameter identifications by using the sensitive parameters;
judging whether the sensitive parameters meet multiplexing rules or not based on the sensitive parameter word identifiers corresponding to the image reconstruction tasks;
and if so, executing the multiplexing reconstruction link and the plurality of concurrent instances.
4. The image reconstruction method of claim 1, wherein said generating a sensitive parameter identification using the sensitive parameter composition comprises:
and splicing the sensitive parameters corresponding to the multiplexing reconstruction link according to a set rule to obtain a sensitive parameter identifier, or selecting specified characters from the sensitive parameters to form the sensitive parameter identifier.
5. The image reconstruction method according to claim 1, wherein said performing the multiplexed reconstruction segment and the plurality of concurrent instances to obtain the reconstructed images corresponding to each of the image reconstruction tasks comprises:
sequentially and serially executing each multiplexing reconstruction link to obtain a multiplexing intermediate result;
and taking the multiplexing intermediate result as an input parameter of each concurrent instance to execute each concurrent instance in parallel so as to generate a reconstructed image corresponding to each image reconstruction task.
6. The image reconstruction method of claim 5, further comprising:
and if the target concurrent instance with the error is monitored in the executing process of the plurality of concurrent instances, ending the operation of the concurrent instance and generating an error message.
7. The image reconstruction method according to any one of claims 1 to 6, wherein after the performing the multiplexed reconstruction segment and the plurality of concurrent instances to obtain the reconstructed images corresponding to the respective image reconstruction tasks, the method further comprises:
collecting the information of the completion of the execution generated by each concurrent instance;
and starting a resource recovery flow, and recovering resources occupied by the concurrent execution of the multiple concurrent instances.
8. An image reconstruction system, comprising:
the task acquisition module is used for acquiring a task command sequence comprising a plurality of image reconstruction tasks; each image reconstruction task comprises a plurality of reconstruction links;
the parameter matching module is used for analyzing the task command sequence and selecting at least one multiplexing reconstruction link with the same output result from at least two image reconstruction tasks;
the image reconstruction module is used for acquiring the rest reconstruction links of at least two image reconstruction tasks except the multiplexing reconstruction link; creating a plurality of concurrent instances according to the remaining reconstruction links in each image reconstruction task, wherein the concurrent instances are used for concurrent execution; and executing the multiplexing reconstruction link and the plurality of concurrent instances to obtain a reconstructed image corresponding to each image reconstruction task.
9. A computer-readable storage medium for storing program code for performing the image reconstruction method of any one of claims 1-7.
10. An electronic Computed Tomography (CT) apparatus, the CT apparatus comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to perform the image reconstruction method of any one of claims 1-7 according to instructions in the program code.
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