CN113838156B - Image reconstruction method and system, storage medium and CT equipment - Google Patents
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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 a task command sequence, and selecting at least one multiplexing reconstruction link with the same output result from at least two image reconstruction tasks; acquiring the rest reconstruction links of at least two image reconstruction tasks except for the multiplexing reconstruction link; creating a plurality of concurrent examples according to the residual reconstruction links in each image reconstruction task; and executing the multiplexing reconstruction link and a plurality of concurrent examples to obtain a reconstructed image corresponding to each image reconstruction task. The scheme provided by the invention has high multiplexing degree on the data of the repeated reconstruction tasks corresponding to the same scanning and the output results of the same reconstruction links, effectively saves the calculation resources, and can achieve the characteristic of saving the calculation amount by multiplexing the same intermediate results among the same data multiple tasks.
Description
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), computed tomography) imaging technology is a major imaging technique in the field of clinical diagnosis. The CT imaging is carried out 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 anatomical flat plate is restored, and the CT imaging has the characteristics of clear and accurate imaging, high imaging speed and the like.
Clinical application habits of CT systems are generally based on diagnostic requirements of CT imaging, and a single scan of the same patient is generally used to reconstruct images having multiple forms of reconstruction results, such as images of different thicknesses and intervals, resolution images of different tissue details, and the like. Generally, according to the diagnosis requirement, it is required to reconstruct and obtain a reconstruction result by setting different parameters based on the same original CT scan data, which is equivalent to one scan data corresponding to a plurality of imaging tasks, and generate various image results for diagnosis.
For any reconstruction task, a plurality of reconstruction links may be involved, parameters adopted by different reconstruction links may be different, and in the conventional reconstruction task execution process, repeated calculation may exist for each reconstruction link, so that not only is calculation resources wasted, but also resource space cannot be reasonably utilized, and reconstruction efficiency is reduced.
Disclosure of Invention
The present invention has been made in view of the above problems, and provides an image reconstruction method and system, a storage medium, and a CT apparatus, which 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 electronic computer 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 the residual reconstruction links of at least two image reconstruction tasks except the multiplexing reconstruction link, and creating a plurality of concurrent examples according to the residual reconstruction links in each image reconstruction task;
and executing the multiplexing reconstruction link and the plurality of concurrent examples to obtain a reconstructed image corresponding to each image reconstruction task.
Optionally, the parsing the task command sequence selects at least one multiplexing reconstruction link with the same output result from at least two image reconstruction tasks, including:
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 sub-imaging parameters used by the image reconstruction task;
and selecting a reconstruction link with the same input parameters and sub-imaging parameters from at least two image reconstruction tasks as the multiplexing reconstruction link.
Optionally, the method further comprises:
for any image reconstruction task, sub-imaging parameters used in each multiplexing reconstruction link in the image reconstruction task are obtained as sensitive parameters, and the sensitive parameters are used for forming and generating a sensitive parameter digital mark;
judging whether the sensitive parameters accord with a multiplexing rule or not based on sensitive parameter number identifiers corresponding to the image reconstruction tasks;
and if so, multiplexing the reconstruction link and the plurality of concurrent examples.
Optionally, the generating the sensitive parameter identification using the sensitive parameter composition includes:
and splicing the sensitive parameters corresponding to the multiplexing reconstruction links according to a set rule to obtain a sensitive parameter identifier, or selecting a designated character from the sensitive parameters to form the sensitive parameter identifier.
Optionally, the performing the multiplexing reconstruction link and the multiple concurrent instances, obtaining a reconstructed image corresponding to each of the image reconstruction tasks includes:
Sequentially executing each multiplexing reconstruction link in series 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 execution process of the concurrent instances, ending running the concurrent instance and generating an error message;
and after the execution of other concurrent instances except the concurrent instance in the plurality of concurrent instances is completed, regenerating and executing the concurrent instance.
Optionally, after the performing the multiplexing reconstruction link and the multiple concurrent instances to obtain a reconstructed image corresponding to each of the image reconstruction tasks, the method further includes:
collecting the message of completing execution generated by each concurrent instance;
and starting a resource recovery flow to recover resources occupied by the concurrent execution of the 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 residual reconstruction links of at least two image reconstruction tasks except the multiplexing reconstruction link, and creating a plurality of concurrent examples according to the residual reconstruction links in each image reconstruction task; and executing the multiplexing reconstruction link and the plurality of concurrent examples 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 aspects.
According to a fourth aspect of the present invention, there is provided an electronic computer 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 one of the first aspects 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 is characterized in that the reconstruction parameters in a task command sequence are acquired and analyzed to determine multiplexing reconstruction links which can be multiplexed and residual reconstruction links which cannot be multiplexed in a plurality of image reconstruction tasks corresponding to the same scanning task, in the reconstruction process, the multiplexing degree of data of a plurality of reconstruction tasks corresponding to the same scanning and output results of the same reconstruction links is high, repeated calculation is not existed, the calculation resource is effectively saved, the same intermediate result which can be multiplexed among the same data multitasking can be utilized, and the characteristic of saving calculation amount is realized, so that the available optimization space is excavated and utilized in combination with clinical practical situations, and the problem of clinical pain points can be well solved.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
The above, as well as additional objectives, advantages, and features of the present invention will become apparent to those skilled in the art from the following detailed description of a specific embodiment of the present invention when read 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 designate like parts throughout the figures. In the drawings:
FIG. 1 shows a schematic flow diagram of an image reconstruction method according to an embodiment of the invention;
FIG. 2 is a schematic diagram showing a conventional image reconstruction task execution process;
FIG. 3 shows a schematic diagram of an image reconstruction execution process 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 comprises three parts, namely a gantry, a main control unit, and a reconstruction unit. The rack is responsible for emitting X-rays and receiving attenuation signal data (the attenuation signal data is abbreviated as raw data herein), and simultaneously transmitting the raw data to the reconstruction unit; the main control unit is used for controlling the operation of the rack, task dispatch of the reconstruction unit and the like; the reconstruction unit is used for receiving the raw data and performing image reconstruction by using the raw data to generate a section image of the examined physical body.
In general, the modes of operation of a CT imaging system are: the test object is prepared, the relevant parameters are set by the test technician according to the specific condition of the test object, and meanwhile, a plurality of off-line reconstruction tasks are arranged according to the diagnosis requirement, and the relevant parameters among the off-line reconstruction tasks can be different.
The object to be inspected is ready, the inspection technician controls the rack to start paying out through the main control unit, and the rack simultaneously transmits the received raw data to the reconstruction unit. And the main control unit issues a reconstruction command to the reconstruction unit. The reconstruction unit starts preparation before the reconstruction after receiving the reconstruction command, including preparation of computing resources, preparation of computing parameters, and the like. And after receiving the raw data from the rack, the unit to be rebuilt starts to execute the rebuilding task. 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 specifically comprises reading raw data transmitted from the rack; preprocessing specifically corrects raw data, reorganizes the raw data and the like; image reconstruction is a process of performing back projection using the attenuation signal passing through the subject, whereby conversion from data into an image has been achieved; the image post-processing is specifically an image processing technology, and the operations of denoising, enhancing contrast and the like are performed on the image by using methods such as filtering, convolution and the like. The reconstruction process of the reconstruction unit described above is just a process of a reconstruction task, which may generate one form of image results.
Fig. 1 shows a schematic flow chart of an image reconstruction method according to an embodiment of the present invention, which can be applied to a CT apparatus. Referring to fig. 1, the image reconstruction method provided in the embodiment of the 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 includes a plurality of reconstruction links.
When the CT equipment performs image reconstruction, individual parameters are modified according to diagnosis requirements, and other types of image results are reconstructed. Such as modifying the field of view of the image, image spacing, image thickness, filtering parameters, etc. Thus, in general, an examination task of a subject 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 according to the imaging parameters input by the examination technician corresponding to the CT apparatus.
For any image reconstruction task, the image reconstruction task comprises a plurality of reconstruction links, the specific execution 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, etc. for different types of parameters.
S102, analyzing a 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 acquired, the task command sequence can be analyzed to determine the multiplexing reconstruction links of each image reconstruction task. For a plurality of image reconstruction tasks of the same scan data, the reconstruction links corresponding to the reconstruction flow are the same, and the different places are parameters used by each reconstruction link. The components belong to reconstruction links of different image reconstruction tasks, if the corresponding parameters are the same, the output result equivalent to the link can be reused by other reconstruction processes, and if the parameters are different, the output result can not be reused. When the parameters corresponding to the reconstruction link are the same, the reconstruction processes can execute the processing of the next link based on the intermediate result output by the same link and combining the different parameters used by the reconstruction processes. In this embodiment, the multiplexed reconstruction link may be an initial reconstruction link in at least two image reconstruction tasks, or two or more reconstruction links in succession from the initial reconstruction link.
The task command sequence may include a plurality of image reconstruction tasks, and the multiplexed reconstruction link may be common to all or part of the reconstruction tasks, so in this embodiment, the image reconstruction task with the multiplexed reconstruction link in step S102 may be all or part of the image reconstruction tasks in the task command sequence.
Optionally, the step S102 of parsing the task command sequence to select at least one multiplexing reconstruction link with the same output result may include:
s102-1, analyzing the task command sequence to obtain the imaging parameters.
As described above, the main control unit issues relevant parameters when issuing the imaging task to the reconstruction unit. These parameters may be used in different stages of the reconstruction process to generate different forms of target images. For example, parameters such as collimation, pitch, imaging field of view and the like can be used for reconstruction, parameters such as denoising correlation, contrast correlation and the like can be used for image post-processing, and the parameters can be used as imaging parameters obtained 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-imaging parameters.
S102-3, selecting a reconstruction link with the same input parameters and sub-imaging 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 parameters used are the same, then the output of this link can be considered the same, at which point 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 P11, P12, P13, P14, and P15, and the image reconstruction task 2 includes five reconstruction links P21, P22, P23, P24, and P25, where input parameters and sub-imaging parameters of the reconstruction links P21 to P23 in the image reconstruction task 1 and 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 the reconstruction links or two or more continuous reconstruction links.
S103, obtaining at least two residual reconstruction links of the image reconstruction tasks except the multiplexing reconstruction link, and creating a plurality of concurrent examples according to the residual reconstruction links in each image reconstruction task, wherein the plurality of concurrent examples 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 multiplexed reconstruction links, other reconstruction links are specifically referred to as residual reconstruction links in this embodiment. For example, assume that the image reconstruction task 1 includes five reconstruction links P11 to P15, where P11 to P13 are multiplexed reconstruction links, and then P14 to P15 belong to the remaining reconstruction links. Similarly, P24 to P25 are the remaining reconstruction links corresponding to the image reconstruction task 2.
Further, for the remaining reconstruction links of each image reconstruction task, multiple concurrent instances can be created according to the remaining reconstruction links in each image reconstruction task, where the multiple concurrent instances are used for concurrent execution.
Assuming that there are an image reconstruction task 1 and an image reconstruction task 2, a concurrent instance 1 can be created for the reconstruction links P14 to P15 in the image reconstruction task 1, and a concurrent instance 2 can be created for the reconstruction links P24 to P25 in the image reconstruction task 2. Wherein concurrent instance 1 and concurrent instance 2 may be executed concurrently.
And S104, executing a multiplexing reconstruction link and a plurality of concurrent examples to obtain a reconstructed image corresponding to each image reconstruction task.
As described in the above embodiments, the multiplexing reconstruction link is that each image reconstruction task has the same input parameters and the used imaging parameters (i.e., the above-mentioned sensitive parameters), so the multiplexing reconstruction link only needs to be performed once. Specifically, each multiplexing reconstruction link can be sequentially and serially executed to obtain a multiplexing intermediate result.
For each reconstruction link, the sub-imaging parameters can have a mapping relationship, where the sub-imaging parameters belong to a part of the imaging parameters, and this embodiment can determine the scope of each parameter, that is, the parameters used by each imaging link, so that the multiplexed imaging link corresponding to the image reconstruction task can be accurately determined in the following steps.
Taking the multiplexing reconstruction links P11 to P13 and P21 to P23 in the above embodiment as an example, since the input parameters and the sub-reconstruction parameters of the reconstruction links P11 to P13 and P21 to P23 are the same, the multiplexing reconstruction links P11 to P13 can be sequentially executed until the multiplexing reconstruction links are executed, and then 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, before the rest of reconstruction links, after the first data result is obtained, the default multiplexing reconstruction links can further use the multiplexing intermediate result as the input parameter of each concurrent instance to execute each concurrent instance in parallel so as to generate the reconstructed image corresponding to each image reconstruction task. In this embodiment, multiple concurrent instances may be created correspondingly using a computer parallel technique, where the multiple concurrent instances may be executed concurrently, and their respective imaging parameters may be read separately to generate different types of image results.
The embodiment of the invention utilizes a computer parallel technology based on the intermediate result multiplexing principle to improve the overall imaging speed of the task sequence of the same scanning multi-offline task. Because of the need for intermediate result multiplexing, investigation of parameters used by each link of the reconstruction process is required to determine the link that can be maximally multiplexed in the reconstruction process.
After the multiplexing link and the sensitive parameter are determined, the parallel technology of the computer is utilized to start the multi-task concurrent execution at the next reconstruction link (i.e. the non-multiplexing link, called the residual reconstruction link in the embodiment) of the multiplexing reconstruction link of the reconstruction flow. The multiplexing links of the reconstruction flow are serial and are used for generating multiplexing intermediate results, and in the multi-task concurrent execution, a plurality of concurrent tasks generate different image results based on the same intermediate results and different imaging parameters so as to meet the diagnosis requirements. Therefore, the plurality of reconstruction tasks scanned together can be completed in one task, and the output image result is consistent with the output result of the plurality of reconstruction tasks. The optimized reconstruction flow saves the imaging preparation time of a plurality of reconstruction tasks and the execution time of a reusable link, and shortens the total imaging time consumption of the task sequence.
In an alternative embodiment of the present invention, before the multiplexing reconstruction link and the multiple concurrent instances are executed in step S104, the multiplexing reconstruction link may be further verified. Namely, for any image reconstruction task, sub-imaging parameters used in each multiplexing reconstruction link in the image reconstruction task are obtained as sensitive parameters, and sensitive parameter composition is utilized to generate a sensitive parameter digital mark; judging whether the sensitive parameters accord with the multiplexing rule or not based on the sensitive parameter number identifiers corresponding to the image reconstruction tasks; and if so, executing the multiplexing reconstruction link and the 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 rule, the subsequent steps can be further executed. Optionally, when it is determined that the sensitive parameter meets the multiplexing rule, a multiplexing flag may be added for identifying passing of multiplexing verification.
In this embodiment, the sub-imaging parameters used in the multiplexed reconstruction link may be referred to as sensitive parameters. The sensitive parameters determine whether the same scan multiple tasks can multiplex intermediate results. After determining the links which can be reused in the reconstruction process, the method is equivalent to determining the sensitive parameters. The imaging parameters corresponding to the multiplexing links are the same, so that the intermediate results can be multiplexed by the plurality of reconstruction tasks, if the sensitive parameters are different, the intermediate results cannot be multiplexed, and the reconstruction process needs to be restarted from the step S101.
When judging whether the sensitive parameters are multiplexed with the multiplexing rule, the sensitive parameters corresponding to the multiplexing reconstruction links can be spliced according to the set rule to form sensitive parameter identifiers, and the imaging parameters contained in different reconstruction tasks can be combined into specific sensitive parameter identifiers. The sensitive parameters corresponding to the multiplexing reconstruction link can be spliced according to a set rule to obtain a sensitive parameter identifier, or a designated character is selected from the sensitive parameters to form the sensitive parameter identifier, and the character string mode can be used as an example of a specific mode of the sensitive parameter characterization, but is not limited to other specific implementation modes. The manner in which the sensitive parameter string is generated is schematically shown below.
Assume that the reconstruction command sequence includes an image reconstruction task 1 and an image reconstruction task 2, wherein "sensoresparam 1" represents a sensitive parameter identifier corresponding to the image reconstruction task 1, and "sensoresparam 2" represents a sensitive parameter identifier corresponding to the image reconstruction task 2. It is assumed that when all the sensitive parameters in all the sensitive parameter identifiers are the same, the multiplexing rule is satisfied and the subsequent reconstruction task execution process is executed. In the above embodiment, it is assumed that the sensorParam 1=sensorParam 2, and that the multiplexing rule is satisfied, and that the sensorParam 1+ sensorParam 2, the multiplexing rule is not satisfied. According to the embodiment, before image reconstruction is executed, whether the sensitive parameters meet the multiplexing rule is further judged, so that the accuracy of the determination of the multiplexing reconstruction link can be ensured, the reconstruction flow is smoother, and the image reconstruction efficiency is improved while the reconstruction flow is simplified.
In the embodiment of the invention, if the target concurrent instance with the error is monitored in the execution process of a plurality of concurrent instances, ending the running of the concurrent instance and generating an error message; and after the execution of other concurrent instances except the concurrent instance in the plurality of concurrent instances is completed, the concurrent instance is regenerated and executed.
Optionally, a message generated by each concurrent instance and used for completing execution can be collected; and starting a resource recovery flow to recover 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 during the execution of each concurrent instance can also be monitored. For example, an error processing flow, a task ending state synchronization flow and the like, wherein each concurrent instance is provided with an independent task channel, and when an error is generated in the task operation 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 instance is completed, the task completion state needs to be fed back, the main control module of the CT equipment is responsible for managing the specific completion condition of each concurrent task, and the summarized information is returned to the reconstruction unit. The concurrent tasks do not affect each other, and the reconstruction progress of the concurrent tasks may not be synchronous. In general, the number of concurrent tasks is equal to the number of reconstruction tasks issued by the main control unit. When the incompatible reconstruction tasks exist, the number of concurrent tasks may be reduced, and only the reconstruction tasks satisfying the multiplexing rule number are concurrently executed.
According to the image reconstruction method of the CT equipment, the reusable reconstruction links and the non-reusable residual reconstruction links in the plurality of 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 repeated reconstruction tasks corresponding to the same scanning and the output results of the same reconstruction links is high, repeated calculation is not generated, the calculation resources are effectively saved, the same intermediate results among the same data multitasks can be reused, the characteristic of saving the calculation amount is achieved, the available optimization space is mined by combining the clinical actual conditions, and the problem of clinical pain points can be well solved.
Further, as the multiplexing reconstruction links have the same input parameters and sub-imaging parameters, more links can be integrated into the multiplexing part, so that the chain of the reconstruction flow is shortened, and the reconstruction speed is improved; on the other hand, the computer parallel technology can be utilized, and different types of image results can be generated simultaneously by utilizing one intermediate result in one reconstruction task, so that the imaging preparation time of each reconstruction task is further shortened, and the total reconstruction time consumption is further shortened.
The image reconstruction method of the above-mentioned CT apparatus will be described in detail by way of an embodiment. The CT apparatus in this embodiment may include a gantry, a main control unit, and a reconstruction unit.
The object to be inspected is ready, the inspection technician controls the rack to start paying out through the main control unit, and the rack simultaneously transmits the received raw data to the reconstruction unit. And the main control unit issues a reconstruction command to the reconstruction unit. The reconstruction unit starts preparation before the reconstruction after receiving the reconstruction command, including preparation of computing resources, preparation of computing parameters, and the like. And after receiving the raw data from the rack, the unit to be rebuilt starts to execute the rebuilding task.
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 specifically comprises reading raw data transmitted from the rack; preprocessing specifically corrects raw data, reorganizes the raw data and the like; image reconstruction is a process of performing back projection using the attenuation signal passing through the subject, whereby conversion from data into an image has been achieved; the image post-processing is specifically an image processing technology, and the operations of denoising, enhancing contrast and the like are performed on the image by using methods such as filtering, convolution and the like.
That is, the reconstruction unit may be specifically divided into three phases when performing the reconstruction task: the first stage is an imaging preparation stage which is responsible for preparing calculation resources required by reconstruction, calculation parameters to be used in the reconstruction process and the like; the second stage is an image formation executing stage, wherein the image formation executing stage needs to utilize the computing resources and the computing parameters determined in the image formation preparing stage to reconstruct the raw data so as to generate an image; the third stage is a resource recovery stage, and recovery processing is performed on the computing resources applied in the first stage, so as to avoid unstable operation of the reconstruction system caused by resource leakage.
The image reconstruction method of the present embodiment can be applied to an imaging execution stage of a reconstruction unit in a CT apparatus. Before the reconstruction unit starts to execute the reconstruction flow, a main control unit generates a task command sequence according to scanning parameters and imaging parameters, wherein the task command sequence comprises a scanning task and two image reconstruction tasks, namely an image reconstruction task 1 and an image reconstruction task 2, the two image reconstruction tasks are different in image space and image thickness according to clinical diagnosis requirements, 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 imaging parameters set by the inspection 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 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 multiplexing reconstruction links of the image reconstruction task 1 and the image reconstruction task 2; that is, it is determined that the input parameters corresponding to the reconstruction links P11, P12, P13 and the reconstruction links P21, P22, P23 are the same as the sub-imaging parameters used, indicating that intermediate results before the reconstruction links P13 and P23 are cut off can be multiplexed;
3, determining the residual reconstruction links of the image reconstruction task 1 and the image reconstruction task 2; the reconstruction links P14 and P15 in the image reconstruction task 1 are the remaining reconstruction links, and the reconstruction links P24 and P25 in the image reconstruction task 2 are the remaining reconstruction links.
4, sub-reconstruction parameters corresponding to the reconstruction links P11, P12 and P13 and the reconstruction links P21, P22 and P23 are obtained as sensitive parameters;
generating two groups of sensitive parameter digital identifications according to the sensitive parameters of P11, P12, P13, P21, P22 and P23 respectively, judging that the two groups of sensitive parameter digital identifications are identical, and determining that the sensitive parameters accord with the multiplexing rule at the moment.
5, generating a concurrent example 1 according to the reconstruction links P14 and P15, and generating a concurrent example 1 according to the reconstruction links P24 and P25; the concurrent instance 1 and the concurrent instance 2 may be executed concurrently and are respectively responsible for thin graph reconstruction and thick graph reconstruction.
6, serially executing the reconstruction links P11, P12, P13 (or serially executing the reconstruction links P21, P22, P23) to obtain a multiplexing intermediate result, where the multiplexing intermediate result can be used by subsequent concurrent examples at the same time. When the reconstruction link P13 (or the reconstruction link P23) is executed, the obtained multiplexing intermediate result may be simultaneously sent to two concurrent instances, namely, the concurrent instance 1 and the concurrent instance 2.
And 7, after the concurrent examples 1 and 2 receive the multiplexing intermediate result, executing respective subsequent reconstruction links, and respectively generating a thin image and a thick image according to the corresponding imaging parameters of the respective examples. The two concurrent instances may be controlled by separate multi-task concurrency control modules, which may send a message of completion of the image creation to the multi-task concurrency control modules. And after receiving the image formation ending messages of the two concurrent instances, the multi-task concurrency control module informs the reconstruction unit of the completion of the current task execution.
When an error occurs in a concurrent instance, the task running in the current instance is ended, and an imaging error message is sent to the multi-task concurrent control module. After receiving the message, the multi-task concurrency control module temporarily stores the message, and after all concurrency examples finish concurrency sending the message, the multi-task concurrency control module sends the message I to the reconstruction unit. The reconstruction unit recognizes that an error occurs in a current task with a single concurrent instance, and feeds back the error message to the main control unit of the CT equipment, so that the reconstruction task is regenerated and executed again.
And 8, after the reconstruction unit receives the task completion message, starting a resource recovery flow, wherein the resource recovery flow is also responsible for recovering resources occupied by the multi-task concurrency control module.
Fig. 2 shows a schematic image reconstruction flow in a conventional scheme, and fig. 3 shows a schematic image reconstruction flow in an embodiment of the present invention. As can be seen from comparison, in the conventional scheme, for the reconstruction flows of the image reconstruction task 1 and the image reconstruction task 2, corresponding execution processes are required for each reconstruction link included in the reconstruction flows, and for the reconstruction links P11, P12, P13 and the reconstruction links P21, P22, P23 having the same input parameters and sub-imaging parameters, the execution is also required to be repeated. According to the method provided by the embodiment, the process of determining the multiplexing reconstruction links and the sensitive parameters thereof and the multi-task concurrency control process are added, so that the complete execution of the image reconstruction task can be completed by only executing one group of reconstruction links P11, P12 and P13 and reconstruction links P21, P22 and P23 and then cooperatively matching with the multi-task concurrency reconstruction. By investigating the algorithm of each link involved in the reconstruction process, a certain reconstruction link capable of multiplexing the intermediate result to the greatest extent is determined, and the multiplexing intermediate result of the reconstruction link is used for multiplexing the subsequent parallel examples, so that the concurrence system can be guaranteed to show the fastest imaging speed.
Based on the same inventive concept, the embodiment of the present invention further provides an image reconstruction system of an electronic computed tomography CT apparatus, as shown in fig. 4, where the image reconstruction system of the CT apparatus provided in this embodiment may include a task acquisition module 410, a parameter matching module 420, an image reconstruction module 430, and a multi-task concurrence control module 440.
A task acquisition module 410 for acquiring 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 at least two image reconstruction tasks;
an image reconstruction module 430, configured to acquire remaining reconstruction links of at least two image reconstruction tasks except for the multiplexed reconstruction link;
the multi-task concurrency control module 440 is configured to create multiple concurrency instances according to the remaining reconstruction links in each image reconstruction task, where the multiple concurrency instances are used for concurrency execution;
the image reconstruction module 430 is further configured to perform a multiplexing reconstruction link, and the multi-task concurrence control module 440 is configured to obtain reconstructed images corresponding to the respective image reconstruction tasks for a plurality of concurrence instances.
In an alternative embodiment of the present invention, the parameter matching module 420 may also be configured to:
analyzing the task command sequence to obtain the imaging parameters;
for any image reconstruction task, determining input parameters of the image reconstruction task in each reconstruction link and sub-imaging parameters used by the image reconstruction task;
and selecting a plurality of reconstruction links with the same input parameters and sub-imaging parameters from at least two image reconstruction tasks as a plurality of multiplexing reconstruction links.
In an alternative embodiment of the present invention, the parameter matching module 420 may also be configured to:
for any image reconstruction task, sub-imaging parameters used in each multiplexing reconstruction link in the image reconstruction task are obtained as sensitive parameters, and sensitive parameter composition is utilized to generate a sensitive parameter digital mark;
judging whether the sensitive parameters accord with the multiplexing rule or not based on the sensitive parameter number identifiers corresponding to the image reconstruction tasks;
and when the sensitive parameters accord with the multiplexing rule, a multiplexing reconstruction link and a plurality of concurrent examples are executed.
In an alternative embodiment of the present invention, the parameter matching module 420 may also be configured to:
and splicing the sensitive parameters corresponding to the multiplexing reconstruction link according to a set rule to obtain a sensitive parameter identifier, or selecting a designated character from the sensitive parameters to form the sensitive parameter identifier.
In an alternative embodiment of the present invention, the image reconstruction module 430 is further configured to sequentially perform each multiplexing reconstruction link in series, so as to obtain a multiplexing intermediate result;
the multi-task concurrency control module 440 may be further configured to use the multiplexed intermediate result as an input parameter of each concurrency instance to execute each concurrency instance in parallel, so as to generate a reconstructed image corresponding to each image reconstruction task.
In an alternative embodiment of the present invention, the image reconstruction module 430 may also be configured to:
and ending running the concurrent instance and generating an error message when the target concurrent instance with errors is detected in the execution process of the concurrent instances.
In an alternative embodiment of the present invention, the image reconstruction module 430 may also be configured to:
collecting the message of completing execution generated by each concurrent instance;
and starting a resource recovery flow to recover resources occupied by the concurrent execution of the multiple concurrent instances.
The multi-task concurrency control module in this embodiment is a part of a reconstruction unit, and the tasks to be executed corresponding to the generated concurrency instance are also a part of a reconstruction task chain, and are organized together with other reconstruction units to create a concurrency reconstruction system with an intermediate result multiplexing characteristic. When the traditional reconstruction process processes a plurality of reconstruction tasks, the preparation of the image is required to be completely executed in each process, the image is executed, and the resources are recovered; the reconstruction concurrency system designed by the invention only needs one imaging preparation process, and part of repeated imaging links can be saved based on the intermediate result multiplexing technology in the imaging stage, so that the task throughput of the imaging system is greatly improved. Compared with the existing implementation mode, the reconstruction process can also multiplex the unchanged and multiplexing initialization parameter calculation results in the imaging process, and save the time for calculating and repeatedly distributing and recycling corresponding resources for the multiplexing results. The image reconstruction system of the electronic computer tomography CT apparatus in the present embodiment can be applied to the CT apparatus. The specific execution process of each module in this embodiment may refer to the description of the above method embodiment, and will not be repeated here.
The embodiment of the invention also provides a computer readable storage medium for storing program codes for executing the image reconstruction method of the above embodiment.
The embodiment of the invention also provides an electronic computer tomography CT device, which comprises a processor and a memory: 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 embodiment according to instructions in the program code. In addition, the CT apparatus may be further provided with components such as a frame and a bulb, which will not be described herein.
It will be 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 brevity, the description is omitted here.
In addition, each functional unit in the embodiments of the present invention may be physically independent, two or more functional units may be integrated together, or all functional units may be integrated in one processing unit. The integrated functional units may be implemented in hardware or in software or firmware.
Those of ordinary skill in the art will appreciate 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 essence or in whole or in part in the form of a software product stored in a storage medium, comprising instructions for causing a computing device (e.g., a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present invention when the instructions are executed. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a read-only memory (ROM), a random-access memory (RAM), a magnetic disk, or an optical disk, etc.
Alternatively, all or part of the steps of implementing the foregoing method embodiments may be implemented by hardware (such as a personal computer, a server, or a computing device such as a network device) associated with program instructions, where the program instructions may be stored on a computer-readable storage medium, and where the program instructions, when executed by a processor of the computing device, perform 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 for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all technical features thereof can be replaced by others within the spirit and principle of the present invention; such modifications and substitutions do not depart from the scope of the invention.
Claims (9)
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 the residual reconstruction links of at least two image reconstruction tasks except the multiplexing reconstruction link, and creating a plurality of concurrent examples according to the residual reconstruction links in each image reconstruction task;
executing the multiplexing reconstruction link and the plurality of concurrent examples to obtain a reconstructed image corresponding to each image reconstruction task;
For any image reconstruction task, sub-imaging parameters used in each multiplexing reconstruction link in the image reconstruction task are obtained as sensitive parameters, and sensitive parameter identification is generated by utilizing the sensitive parameter composition; judging whether the sensitive parameters accord with a multiplexing rule or not based on sensitive parameter number identifiers corresponding to the image reconstruction tasks; and if yes, executing the multiplexing reconstruction link and the plurality of concurrent examples.
2. The image reconstruction method according to claim 1, wherein said parsing the task command sequence selects at least one multiplexed reconstruction link having the same output result among at least two image reconstruction tasks, comprising:
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 sub-imaging parameters used by the image reconstruction task;
and selecting a reconstruction link with the same input parameters and sub-imaging parameters from at least two image reconstruction tasks as the multiplexing reconstruction link.
3. The image reconstruction method according to claim 1, wherein said generating a sensitive parameter identification using said sensitive parameter composition comprises:
And splicing the sensitive parameters corresponding to the multiplexing reconstruction links according to a set rule to obtain a sensitive parameter identifier, or selecting a designated character from the sensitive parameters to form the sensitive parameter identifier.
4. The image reconstruction method according to claim 1, wherein said performing the multiplexed reconstruction link and the plurality of concurrent instances to obtain a reconstructed image corresponding to each of the image reconstruction tasks comprises:
sequentially executing each multiplexing reconstruction link in series 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.
5. The image reconstruction method according to claim 4, further comprising:
if the target concurrent instance with the error is detected in the execution process of the concurrent instances, ending running the concurrent instance and generating an error message.
6. The image reconstruction method according to any one of claims 1 to 5, wherein after the performing the multiplexed reconstruction link and the plurality of concurrent instances to obtain a reconstructed image corresponding to each of the image reconstruction tasks, the method further comprises:
Collecting the message of completing execution generated by each concurrent instance;
and starting a resource recovery flow to recover resources occupied by the concurrent execution of the concurrent instances.
7. 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 examples according to the residual reconstruction links in each image reconstruction task, wherein the concurrent examples are used for concurrent execution; executing the multiplexing reconstruction link and the plurality of concurrent examples to obtain a reconstructed image corresponding to each image reconstruction task;
the parameter matching module is also used for: for any image reconstruction task, sub-imaging parameters used in each multiplexing reconstruction link in the image reconstruction task are obtained as sensitive parameters, and sensitive parameter composition is utilized to generate a sensitive parameter digital mark; judging whether the sensitive parameters accord with the multiplexing rule or not based on the sensitive parameter number identifiers corresponding to the image reconstruction tasks; and when the sensitive parameters accord with the multiplexing rule, a multiplexing reconstruction link and a plurality of concurrent examples are executed.
8. A computer readable storage medium, characterized in that the computer readable storage medium is for storing a program code for performing the image reconstruction method as claimed in any one of claims 1-6.
9. 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 according to any one of claims 1-6 according to instructions in the program code.
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