CN110766686A - CT projection data processing method, system, readable storage medium and device - Google Patents
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Abstract
The invention relates to a CT projection data processing method, a system, a readable storage medium and equipment, belonging to the technical field of medical images, wherein after multi-focus CT projection data are obtained, the CT projection data are distinguished to obtain CT projection subdata corresponding to different focuses, then each CT projection subdata is respectively preprocessed, compared with the traditional alternative processing of projection data of a plurality of focuses, the preprocessing of the projection data of each focus is faster and faster, the complexity of a preprocessing algorithm can be simplified, and because ray beams have the same geometrical structure when ray sources are at the same focus position, the preprocessing of the projection data of each focus can reduce the calculated amount of each preprocessing step, in addition, the CT projection subdata of different focuses are merged after preprocessing, the merged target CT projection data can be reconstructed by adopting the original CT image reconstruction algorithm, and the CT reconstruction performance is improved.
Description
Technical Field
The invention relates to the technical field of medical image data processing, in particular to a CT projection data processing method, a system, a readable storage medium and equipment.
Background
CT (Computed Tomography, CT for short) scans a specific part of a human body with a certain thickness of a slice plane by using X-rays, and can reconstruct an image of the slice plane by using a computer due to different absorption capacities of different human tissues to the X-rays.
In the reconstruction process of computed tomography imaging, projection data acquired by a detector needs to be preprocessed, and then the preprocessed projection data are used for generating a reconstructed image. Currently, a multi-focal-point X-ray source can be used in a CT apparatus, and projection data of multiple focal points are obtained by scanning, and in a preprocessing step, projection data of multiple focal points are alternately processed, then rearranged in a reconstruction process, and then participate in image reconstruction. Since the plurality of focal points are alternately and sequentially processed in the preprocessing step, only a serial processing method can be used, and the projection data of the plurality of focal points are also stored in the memory in a serial manner.
Disclosure of Invention
Therefore, it is necessary to provide a CT projection data processing method, a CT projection data processing system, a readable storage medium, and a CT projection data processing apparatus, which are directed to the problem that the preprocessing time is long and the image reconstruction performance is affected when the projection data size is large in the conventional CT apparatus projection data processing method.
A CT projection data processing method comprising the steps of:
after multi-focus CT projection data are obtained, distinguishing the CT projection data to obtain CT projection sub-data corresponding to different focuses;
respectively preprocessing the CT projection subdata corresponding to different focuses, wherein the preprocessing comprises the correction of the CT projection subdata;
and merging the preprocessed CT projection subdata with different focuses to obtain target CT projection data.
According to the CT projection data processing method, the method can be applied to CT system equipment with multiple focuses of a ray source, after CT projection data with multiple focuses are obtained, the CT projection data are distinguished, CT projection sub-data corresponding to different focuses are obtained, then the CT projection sub-data are respectively preprocessed, compared with the traditional alternative processing of projection data with multiple focuses, the preprocessing of the projection data of each focus is faster, the complexity of a preprocessing algorithm can be simplified, and because ray beams have the same geometrical structure when the ray source is at the same focus position, the calculation amount of each preprocessing step can be reduced by preprocessing the preprocessing of the projection data of each focus independently, so that the preprocessing time is reduced, in addition, the CT projection sub-data with different focuses are combined after preprocessing, the combined target CT projection data can be reconstructed by adopting the original CT image reconstruction algorithm, the CT reconstruction performance is improved under the condition of not changing the CT image reconstruction algorithm.
In one embodiment, the step of distinguishing the CT projection data to obtain the CT projection sub-data corresponding to different focuses includes the following steps:
acquiring the arrangement sequence of multiple focuses, and performing traversal classification on the CT projection data according to the arrangement sequence to obtain CT projection sub-data corresponding to different focuses.
In one embodiment, the step of preprocessing the CT projection sub-data corresponding to different focal points includes the following steps:
and carrying out parallel preprocessing on the CT projection subdata corresponding to different focuses.
In one embodiment, before obtaining the multi-focus CT projection data, the method further comprises the following steps:
and respectively setting preprocessing parameters corresponding to different focuses according to the properties of the focuses.
In one embodiment, the pre-processing parameters include reconstruction parameters set through a software interface before the CT scan, acquisition parameters at the time of the CT scan, and algorithm parameters of a pre-processing algorithm.
In one embodiment, the step of combining the preprocessed CT projection sub-data with different focal points includes the following steps:
and acquiring the arrangement sequence of multiple focuses, and merging the preprocessed CT projection sub-data of different focuses according to the arrangement sequence.
In one embodiment, the CT projection data processing method further comprises the steps of:
and carrying out image reconstruction according to the target CT projection data to obtain a CT reconstructed image.
A CT projection data processing system, comprising:
the data distinguishing unit is used for distinguishing the CT projection data after the multi-focus CT projection data are obtained to obtain CT projection sub-data corresponding to different focuses;
the data preprocessing unit is used for respectively preprocessing the CT projection subdata with different focuses, and the preprocessing comprises the correction of the CT projection subdata;
and the data merging unit is used for merging the preprocessed CT projection subdata with different focuses to obtain target CT projection data.
According to the above-mentioned CT projection data processing system, it can be applied to a CT system device with multiple focal spots of a radiation source, the data distinguishing unit is used for distinguishing the CT projection data after obtaining the multiple focal spot CT projection data, and obtaining the CT projection sub-data corresponding to different focal spots, the data preprocessing unit is used for preprocessing each CT projection sub-data respectively, compared with the traditional alternative processing of projection data of multiple focal spots, it is faster to preprocess the projection data of each focal spot individually, and can simplify the complexity of the preprocessing algorithm, and because the radiation beam has the same geometric structure when the radiation source is at the same focal position, the preprocessing of the projection data of each focal spot individually can also reduce the calculation amount of each preprocessing step, thereby reducing the preprocessing time, in addition, the data merging unit is used for merging the CT projection sub-data of different focal spots after preprocessing, the combined target CT projection data can be reconstructed by adopting the original CT image reconstruction algorithm, and the CT reconstruction performance is improved under the condition of not changing the CT image reconstruction algorithm.
In one embodiment, the data distinguishing unit is configured to obtain an arrangement order of multiple focuses, and perform traversal classification on the CT projection data according to the arrangement order to obtain CT projection sub-data corresponding to different focuses.
In one embodiment, the data preprocessing unit is configured to perform parallel preprocessing on the CT projection sub-data corresponding to different focal points.
In one embodiment, the CT projection data processing system further comprises a parameter setting unit for setting preprocessing parameters corresponding to different focal points according to the properties of the plurality of focal points, respectively.
In one embodiment, the pre-processing parameters include reconstruction parameters set through a software interface before the CT scan, acquisition parameters at the time of the CT scan, and algorithm parameters of a pre-processing algorithm.
In one embodiment, the data merging unit is configured to obtain an arrangement order of multiple focuses, and merge the pre-processed CT projection sub-data of different focuses according to the arrangement order.
In one embodiment, the CT projection data processing system further includes an image reconstruction unit configured to perform image reconstruction based on the target CT projection data to obtain a CT reconstructed image.
A readable storage medium, on which an executable program is stored, which when executed by a processor implements the steps of the above-mentioned CT projection data processing method.
The readable storage medium can realize that the projection data of each focus can be independently preprocessed more quickly through the executable program stored in the readable storage medium, the complexity of a preprocessing algorithm can be simplified, and because the ray beams have the same geometric structure when the ray sources are at the same focus position, the calculation amount of each preprocessing step can be reduced by independently preprocessing the projection data of each focus, so that the preprocessing time is reduced.
The CT device comprises a memory and a processor, wherein the memory stores an executable program, and the processor realizes the steps of the CT projection data processing method when executing the executable program.
According to the CT equipment, the executable program is operated on the processor, so that the projection data of each focus can be independently preprocessed more quickly, the complexity of a preprocessing algorithm can be simplified, and because the ray beams have the same geometric structure when the ray sources are at the same focus position, the calculation amount of each preprocessing step can be reduced by independently preprocessing the projection data of each focus, so that the preprocessing time is reduced.
Drawings
FIG. 1 is a schematic diagram of an exemplary computed tomography imaging apparatus 100 in one embodiment;
FIG. 2 is a schematic diagram of exemplary hardware and/or software components of an exemplary computing device 200 on which processing engine 140 is implemented, in one embodiment;
FIG. 3 is a diagram of exemplary hardware and/or software components of an exemplary mobile device 300 on which terminal 130 may be implemented, in one embodiment;
FIG. 4 is a flow diagram illustrating a method for processing CT projection data, in accordance with one embodiment;
FIG. 5 is a schematic illustration of a physical scanning configuration of a 2-focal spot radiation source in one embodiment;
FIG. 6 is a schematic diagram illustrating a conventional 2-focus CT projection data storage method;
FIG. 7 is a diagram illustrating a manner in which focused CT projection data may be stored in accordance with an embodiment;
FIG. 8 is a flow chart illustrating a CT projection data processing method in accordance with another embodiment;
FIG. 9 is a schematic diagram illustrating a conventional storage manner of an array of CT projection data with 2 focal points;
FIG. 10 is a diagram illustrating an embodiment of an array storage of 2 focus CT projection data after being differentiated;
FIG. 11 is a block diagram of a CT projection data processing system in accordance with an exemplary embodiment;
FIG. 12 is a schematic diagram of a CT projection data processing system in accordance with another embodiment;
FIG. 13 is a schematic diagram of a CT projection data processing system in accordance with yet another embodiment;
FIG. 14 is a block diagram of an exemplary processing engine 140 in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the detailed description and specific examples, while indicating the scope of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
Although various references are made herein to certain modules in a system according to embodiments of the present application, any number of different modules may be used and run on an imaging system and/or processor. The modules are merely illustrative and different aspects of the systems and methods may use different modules.
Flow charts are used herein to illustrate operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, various steps may be processed in reverse order or simultaneously. Meanwhile, other operations are added to or removed from these processes.
FIG. 1 is a schematic diagram of an exemplary computed tomography imaging apparatus 100, under an embodiment. Referring to fig. 1, a computed tomography imaging apparatus 100 may include a scanner 110, a network 120, one or more terminals 130, a processing engine 140, and a memory 150. All components in the computed tomography imaging apparatus 100 may be interconnected by a network 120.
The scanner 110 may scan an object and generate scan data related to the scanned object. In some embodiments, the scanner 110 may be a medical imaging device, such as a CT device, a PET device, a SPECT device, an MRI device, and the like, or any combination thereof (e.g., a PET-CT device or a CT-MRI device). In the present invention, the medical imaging device is preferably a CT device.
An "image" as referred to herein may refer to a 2D image, a 3D image, a 4D image, and/or any related data (e.g., CT data, projection data corresponding to CT data). This is not intended to limit the scope of the invention. Various modifications and alterations will occur to those skilled in the art, given the benefit of this disclosure.
The scanner 110 may include a gantry 111, a detector 112, a detection region 113, and a table 114. In some embodiments, the scanner 110 may also include a radioactive scanning source 115. The gantry 111 may support a detector 112 and a radioactive scanning source 115. The scan object may be placed on a table 114 for scanning. The radioactive scanning source 115 may emit radioactive rays toward the scanning object. The detector 112 may detect radiation events (e.g., gamma photons) emitted from the detection region 113. In some embodiments, the scanner 110 may be an MRI scanning device and the detector 112 may include circuitry for detecting and receiving RF signals.
The one or more terminals 130 include a mobile device 131, a tablet computer 132, a laptop computer 133, the like, or any combination thereof. In some embodiments, mobile device 131 may include a smart home device, a wearable device, a mobile device, a virtual reality device, an augmented reality device, and the like, or any combination thereof. In some embodiments, the smart home device may include a smart lighting device, a control device of a smart appliance, a smart monitoring device, a smart television, a smart camera, an internet phone, and the like, or any combination thereof. In some embodiments, the wearable device may include a bracelet, footwear, glasses, helmet, watch, clothing, backpack, smart jewelry, or the like, or any combination thereof. In some embodiments, mobile device 131 may include a mobile phone, a Personal Digital Assistant (PDA), a gaming device, a navigation device, a point of sale (POS) device, a laptop, a tablet, a desktop, or the like, or any combination thereof. In some embodiments, the virtual reality device and/or the augmented reality device may include a virtual reality helmet, virtual reality glasses, virtual reality eyeshields, augmented reality helmets, augmented reality glasses, augmented reality eyeshields, and the like, or any combination thereof. For example, the virtual reality device and/or augmented reality device may include Google Glass, Oculus Rift, Hololens, Gear VR, and the like. In some embodiments, the terminal 130 may be part of the processing engine 140.
The processing engine 140 may process data and/or information obtained from the scanner 110, the terminal 130, and/or the memory 150. In some embodiments, processing engine 140 may be a single server or a group of servers. The server groups may be centralized or distributed. In some embodiments, the processing engine 140 may be local or remote. For example, the processing engine 140 may access information and/or data stored in the scanner 110, the terminal 130, and/or the memory 150 through the network 120. As another example, the processing engine 140 may be directly connected to the scanner 110, the terminal 130, and/or the memory 150 to access stored information and/or data. In some embodiments, processing engine 140 may be implemented on a cloud platform. By way of example only, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an interconnected cloud, a multi-cloud, and the like, or any combination thereof. In some embodiments, processing engine 140 may be implemented by computing device 200 having one or more components shown in FIG. 2.
In some embodiments, memory 150 may be connected to network 120 for communication with one or more other components (e.g., processing engine 140, terminal 130, etc.) in computed tomography imaging apparatus 100. One or more components of the computed tomography imaging apparatus 100 may access data or instructions stored in the memory 150 via the network 120. In some embodiments, the memory 150 may be directly connected to or in communication with one or more other components (e.g., processing engine 140, terminal 130, etc.) in the computed tomography imaging apparatus 100. In some embodiments, memory 150 may be part of processing engine 140.
FIG. 2 is a schematic diagram of exemplary hardware and/or software components of an exemplary computing device 200 on which processing engine 140 may be implemented, for one embodiment. As shown in FIG. 2, computing device 200 may include an internal communication bus 210, a processor (processor)220, a Read Only Memory (ROM)230, a Random Access Memory (RAM)240, a communication port 250, input/output components 260, a hard disk 270, and a user interface 280.
For illustration only, only one processor 220 is depicted in computing device 200. It should be noted, however, that the computing device 200 in the present invention may also include multiple processors, and thus, operations and/or method steps described in the present invention as being performed by one processor may also be performed by multiple processors, either jointly or separately.
Read Only Memory (ROM)230 and Random Access Memory (RAM)240 may store data/information obtained from scanner 110, terminal 130, memory 150, and/or any other component of computed tomography imaging apparatus 100. Read Only Memory (ROM)230 may include Mask ROM (MROM), Programmable ROM (PROM), Erasable Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), compact disk ROM (CD-ROM), and digital versatile disk ROM. Random Access Memory (RAM)240 may include Dynamic RAM (DRAM), double data Rate synchronous dynamic RAM (DDR SDRAM), Static RAM (SRAM), thyristor RAM (T-RAM), zero capacitor RAM (Z-RAM), and the like. In some embodiments, Read Only Memory (ROM)230 and Random Access Memory (RAM)240 may store one or more programs and/or instructions for performing the exemplary methods described in this disclosure.
The communication port 250 may be connected to a network (e.g., network 120) to facilitate data communication. The communication port 250 may establish a connection between the processing engine 140 and the scanner 110, the terminal 130, and/or the memory 150. The connection may be a wired connection, a wireless connection, any other communication connection capable of enabling data transmission and/or reception, and/or any combination of these connections. The wired connection may include, for example, an electrical cable, an optical cable, a telephone line, etc., or any combination thereof. The wireless connection may include, for example, a bluetooth link, a Wi-Fi link, a WiMax link, a WLAN link, a ZigBee link, a mobile network link (e.g., 3G, 4G, 5G, etc.), and the like, or combinations thereof. In some embodiments, communication port 250 may be a standard communication port, such as RS232, RS485, and the like. In some embodiments, the communication port 250 may be a specially designed communication port. For example, the communication port 250 may be designed in accordance with digital imaging and communications in medicine (DICOM) protocol.
Input/output component 260 supports the flow of input/output data between computing device 200 and other components. In some embodiments, input/output components 260 may include input devices and output devices. Examples of input devices may include a keyboard, mouse, touch screen, microphone, etc., or a combination thereof. Examples of output devices may include a display device, speakers, printer, projector, etc., or a combination thereof. Examples of display devices may include Liquid Crystal Displays (LCDs), Light Emitting Diode (LED) based displays, flat panel displays, curved screens, television devices, Cathode Ray Tubes (CRTs), touch screens, and the like, or combinations thereof.
The computing device 200 may also include various forms of program storage units and data storage units, such as a hard disk 270, capable of storing various data files used in computer processing and/or communications, as well as possible program instructions executed by the processor 220.
The user interface 280 may enable interaction and information exchange between the computing device 200 and a user.
Fig. 3 is a diagram of exemplary hardware and/or software components of an exemplary mobile device 300 on which terminal 130 may be implemented, for one embodiment. As shown in fig. 3, mobile device 300 may include antenna 310, display 320, Graphics Processing Unit (GPU)330, Central Processing Unit (CPU)340, input output unit (I/O)350, memory 360, and storage 390. In some embodiments, any other suitable component may also be included in mobile device 300, including but not limited to a system bus or a controller (not shown). In some embodiments, a mobile operating system 370 (e.g., iOS, Android, Windows Phone, etc.) and one or more applications 380 may be loaded from storage 390 into memory 360 for execution by CPU 340. Applications 380 may include a browser or any other suitable mobile application for receiving and rendering information related to image processing or other information from processing engine 140. User interaction with the information stream may be accomplished through I/O350 and provided to processing engine 140 and/or other components of computed tomography imaging apparatus 100 via network 120.
To implement the various modules, units, and functions thereof described in this disclosure, a computer hardware platform may be used as the hardware platform(s) for one or more of the elements described herein. A computer with user interface elements may be used as a Personal Computer (PC) or any other type of workstation or terminal device. The computer may also act as a server if suitably programmed. The CT projection data processing method, system, etc. may be implemented in the computed tomography imaging apparatus 100.
Fig. 4 is a schematic flow chart of a CT projection data processing method according to an embodiment of the invention. The CT projection data processing method in this embodiment includes the steps of:
step S410: after multi-focus CT projection data are obtained, distinguishing the CT projection data to obtain CT projection sub-data corresponding to different focuses;
in this step, a scanning mode of a multi-focus ray source is adopted during CT scanning, and CT scanning is performed on a scanning object under each focus, so that multi-focus CT projection data can be obtained;
step S420: respectively preprocessing the CT projection subdata corresponding to different focuses, wherein the preprocessing comprises the correction of the CT projection subdata;
in this step, scattering, attenuation and other deviations may occur during the CT scanning projection process, so that it is necessary to preprocess the CT projection sub-data to improve the accuracy of the data, which includes correcting the CT projection data to eliminate the influence of scattering, attenuation and other deviations; because the ray beams have the same geometric structure when the ray sources are at the same focus position, the calculation amount of each preprocessing step can be reduced by independently preprocessing the projection data of each focus, thereby reducing the preprocessing time;
step S430: merging the preprocessed CT projection subdata with different focuses to obtain target CT projection data;
in the step, after the preprocessing, the CT projection subdata with different focuses is merged, and the dispersed CT projection subdata with a plurality of focuses is converted into target CT projection data so as to carry out CT image reconstruction subsequently, wherein the target CT projection data is similar to the CT projection data after the traditional preprocessing, and can be reconstructed by adopting the original CT image reconstruction algorithm, and the CT reconstruction performance is improved under the condition of not changing the CT image reconstruction algorithm.
In this embodiment, the CT projection data processing method may be applied to a CT system device with multiple focal spots of a radiation source, after obtaining the multiple focal spot CT projection data, distinguishing the CT projection data to obtain CT projection sub-data corresponding to different focal spots, and then preprocessing each CT projection sub-data, compared with the conventional alternative processing of projection data with multiple focal spots, it is faster to preprocess projection data of each focal spot individually, and may simplify the complexity of the preprocessing algorithm, and because the radiation beam has the same geometric structure each time the radiation source is at the same focal position, preprocessing projection data of each focal spot individually may also reduce the calculation amount of each preprocessing step, thereby reducing the preprocessing time, in addition, combining CT projection sub-data of different focal spots after preprocessing, and the combined target CT projection data may be reconstructed by using the original CT image reconstruction algorithm, the CT reconstruction performance is improved under the condition of not changing the CT image reconstruction algorithm.
It should be noted that, the number of the multiple focal spots of the radiation source of the CT system apparatus may be more than 2, the preprocessing process may employ a plurality of different preprocessing algorithms, and the plurality of different preprocessing algorithms are executed for the CT projection sub-data of each focal spot.
In one embodiment, the step of distinguishing the CT projection data to obtain the CT projection sub-data corresponding to different focuses includes the following steps:
acquiring the arrangement sequence of multiple focuses, and performing traversal classification on the CT projection data according to the arrangement sequence to obtain CT projection sub-data corresponding to different focuses.
In this embodiment, in the CT projection data, the CT projection sub-data of different focuses are alternately arranged according to the arrangement order of the multiple focuses, and the CT projection sub-data is presented in a fixed format, so long as the CT projection sub-data of different focuses can be distinguished according to the arrangement order of the focuses, the CT projection data is traversed through according to the arrangement order of the multiple focuses, and can be accurately classified, so as to obtain the CT projection sub-data corresponding to different focuses.
Further, a dedicated variable or a flag may be set to indicate the association relationship between the CT projection sub-data and the focus, or an index of the focus arrangement may be used as one of the flags.
In one embodiment, the step of preprocessing the CT projection sub-data corresponding to different focal points respectively comprises the steps of:
and carrying out parallel preprocessing on the CT projection subdata corresponding to different focuses.
In this embodiment, the CT projection sub-data corresponding to different focuses can be preprocessed in parallel, and the original serial processing process of the data of multiple focuses is changed to the parallel processing process, so that the parallel processing capability of multiple cores of the computer can be fully utilized, the preprocessing speed is increased, the preprocessing time is reduced, and the overall CT image reconstruction performance is improved.
In one embodiment, before obtaining the multi-focus CT projection data, the method further comprises the following steps:
and respectively setting preprocessing parameters corresponding to different focuses according to the properties of the focuses.
In this embodiment, the CT projection sub-data corresponding to each focus is different and corresponds to the corresponding focus, and the preprocessing parameters corresponding to the focus are set according to the property of the focus, so as to ensure the correctness of each preprocessing algorithm and accurately preprocess the CT projection sub-data.
In one embodiment, the pre-processing parameters include reconstruction parameters set through a software interface prior to the CT scan, acquisition parameters at the time of the CT scan, and algorithm parameters of a pre-processing algorithm.
In this embodiment, the main parameter type of the preprocessing can be determined by the reconstruction parameters set through the software interface before the CT scan, and is associated with the subsequent image reconstruction, the acquisition parameters during the CT scan can affect the accuracy of the CT projection data itself, the algorithm parameters of the preprocessing algorithm directly affect the accuracy of the preprocessing, and the accuracy of the preprocessing algorithm can be ensured by setting the preprocessing parameters.
In one embodiment, the step of combining the preprocessed CT projection sub-data of different focal points includes the steps of:
and acquiring the arrangement sequence of multiple focuses, and merging the preprocessed CT projection sub-data of different focuses according to the arrangement sequence.
In this embodiment, the CT projection subdata corresponding to the focus is recombined according to the original focus arrangement mode, and the combined target CT projection data is consistent with the original focus sequence, so that the original image reconstruction algorithm and the steps of post-processing and image storage can still be used without modification.
In one embodiment, the CT projection data processing method further comprises the steps of:
and carrying out image reconstruction according to the target CT projection data to obtain a CT reconstructed image.
In this embodiment, after the CT projection data is processed, the target CT projection data is obtained, and image reconstruction can be performed based on the target CT projection data, so as to obtain a CT reconstructed image.
In one embodiment, the CT projection data processing method may be applied in a scene imaged by a CT scan.
The image reconstruction process of computed tomography is a process of generating an image by calculating projection data acquired by a detector, and the whole process can be generally summarized as the following steps: 1. acquiring projection data; 2. pre-treating; 3. reconstructing an image; 4. post-treatment; 5. save images, etc.
Conventional multi-focus CT image reconstruction processes projection data of multiple focuses alternately and sequentially in a preprocessing step, resulting in that only a serial processing manner can be used, for example, a scene of 2 focuses, i.e., processing projection data of a current view (view) of a focus 1, then processing projection data of a current view (view) of a focus 2, then processing projection data of a next view of the focus 1, then processing projection data of a next view of the focus 2, and so on.
The conventional scheme is a serial processing mode, projection data of a plurality of focuses are also stored in a memory in a serial mode, and when the projection data are particularly large, the required preprocessing time is particularly long, so that the reconstruction performance is greatly influenced.
Also taking a scene with 2 focuses as an example, the physical structure of the scene is shown in fig. 5, wherein the X-ray source is changed in the X direction, so that the focus 1 and the focus 2 are parallel to the X-axis direction, and the X-ray beam has the same geometric structure every time the X-ray source is at the focus 1 position, and similarly, the X-ray beams emitted from all the focus 2 positions have the same geometric structure every time the X-ray source is at the focus 2 position, so for most pre-processing algorithms, the projection data of the focus 1 and the projection data of the focus 2 are independent, and the focus does not need to be processed strictly in the front-back order, so that it is not necessary to adopt a serial processing mode.
According to the scheme provided by the invention, CT projection data of different focuses are distinguished, for example, projection data of 2 focuses are stored and processed in an array after the CT projection data are obtained, two arrays are output by distinguishing the CT projection data, each array corresponds to the CT projection data of one focus (namely the CT projection subdata), then the two arrays are respectively preprocessed, so that the processing process is changed from serial to parallel, the CT projection data of a plurality of focuses are merged again after the preprocessing process and before an image is reconstructed, and the merged CT projection data can be reconstructed by adopting an original image reconstruction algorithm. The advantages of this technique are the following:
1. by distinguishing and then respectively processing the CT projection data of different focuses, so that each preprocessing algorithm only needs to process the condition of 1 focus, in the CT system, the CT projection data of different focuses are alternately stored, taking the CT projection data of two focuses as an example, the alternate storage mode is shown in FIG. 6, wherein the two focuses are respectively represented by a focus a and a focus b, before starting the preprocessing algorithm, all the CT projection data are traversed, the projection data of each view of the focus a and the focus b are respectively stored, so after distinguishing the different focuses, the storage mode of the CT projection data is shown in FIG. 7, the subsequent preprocessing algorithms are processed on the CT projection data of the focus a and the CT projection data of the focus b in parallel, and for the preprocessing algorithm, the data processed each time are either the focus a or the focus b, the CT projection data of two focuses cannot appear alternately, so that the complexity of the algorithm can be simplified and the calculation amount of each preprocessing step is reduced after the CT projection data of different focuses are distinguished;
2. the original serial processing process is changed into the parallel processing process, so that the parallel processing capability of a plurality of cores of a computer can be fully utilized, the preprocessing speed is accelerated, and the overall reconstruction performance is improved;
3. if the focus needs to be increased subsequently, the internal logic of the preprocessing algorithm does not need to be modified, and only the corresponding workflow needs to be increased, the focus can be processed in parallel with the previous focus, so that the result is more beneficial to expansion.
Specifically, as shown in fig. 8, after the projection data is acquired, the CT projection data of different focuses are distinguished, and then the CT projection data of each focus is independently preprocessed, wherein various input parameters in the preprocessing algorithm should be set according to the corresponding focus, so as to ensure the correctness of each preprocessing algorithm, wherein the various input parameters in the preprocessing algorithm include reconstruction parameters set by a user through a software interface before scanning, acquisition parameters of a system during CT scanning, and algorithm parameters of a specific preprocessing algorithm, the algorithm parameters are generally configured through a configuration file, contents of the configuration file can be filled by developers according to experiment and test results, the configuration file is installed in the CT system through an installation software package, how the above parameters are associated with the focus needs to be configured according to the specific focus, and ensuring that each focus uses the parameters corresponding to the focus, so that the correctness of each preprocessing algorithm can be ensured. After all the preprocessing algorithms are finished, the processed CT projection subdata with different focuses is merged again according to the original focus arrangement mode, and the merged target CT projection data is consistent with the original focus sequence, so that the original image reconstruction algorithm and the steps of post-processing and image storage can be still used without changing. Taking 2 focuses as an example, the system is divided into 2 parallel processing flows, if N focuses exist, the system is divided into N processing flows, and the N processing flows can be processed in parallel through various parallel schemes, so that the preprocessing time is shortened to 1/N of the original preprocessing time. The result of the conventional scheme is shown in fig. 9 corresponding to the arrangement of the plurality of focal points in the memory, wherein the projection data of two focal points are stored in one array, and after the step of distinguishing, the arrangement of the plurality of focal points in the memory is shown in fig. 10, wherein the projection data of two focal points are stored in two independent arrays respectively, so that parallel processing can be performed.
According to the above CT projection data processing method, an embodiment of the present invention further provides a CT projection data processing system, and the following describes an embodiment of the CT projection data processing system in detail.
Referring to fig. 11, a schematic structural diagram of a CT projection data processing system according to an embodiment is shown. The CT projection data processing system in this embodiment includes:
the data distinguishing unit 510 is configured to distinguish CT projection data after obtaining multi-focus CT projection data, and obtain CT projection sub-data corresponding to different focuses;
a data preprocessing unit 520, configured to respectively preprocess the CT projection sub-data at different focuses, where the preprocessing includes correcting the CT projection sub-data;
and a data merging unit 530, configured to merge the preprocessed CT projection sub-data with different focuses to obtain target CT projection data.
In this embodiment, the CT projection data processing system may be applied to a CT system device with multiple focal spots, the data differentiating unit 510 is configured to differentiate CT projection data after obtaining the multiple focal spot CT projection data to obtain CT projection sub-data corresponding to different focal spots, the data preprocessing unit 520 is configured to preprocess each CT projection sub-data, compared with the conventional alternative processing of projection data with multiple focal spots, the preprocessing of projection data of each focal spot is faster and more convenient, the complexity of the preprocessing algorithm may be simplified, and since each time the radiation source is at the same focal position, the radiation beam has the same geometric structure, the preprocessing of projection data of each focal spot may reduce the calculation amount of each preprocessing step, thereby reducing the preprocessing time, and in addition, the data merging unit 530 is configured to merge CT projection sub-data of different focal spots after preprocessing, the combined target CT projection data can be reconstructed by adopting the original CT image reconstruction algorithm, and the CT reconstruction performance is improved under the condition of not changing the CT image reconstruction algorithm.
In an embodiment, the data distinguishing unit 510 is configured to obtain an arrangement order of multiple focuses, and perform traversal classification on the CT projection data according to the arrangement order to obtain CT projection sub-data corresponding to different focuses.
In one embodiment, the data preprocessing unit 520 is configured to perform parallel preprocessing on the CT projection sub-data corresponding to different focal points.
In one embodiment, as shown in fig. 12, the CT projection data processing system further includes a parameter setting unit 540 for setting preprocessing parameters corresponding to different focal points respectively according to the properties of the plurality of focal points.
In one embodiment, the pre-processing parameters include reconstruction parameters set through a software interface prior to the CT scan, acquisition parameters at the time of the CT scan, and algorithm parameters of a pre-processing algorithm.
In an embodiment, the data merging unit 530 is configured to obtain an arrangement order of multiple focuses, and merge the pre-processed CT projection sub-data of different focuses according to the arrangement order.
In one embodiment, as shown in fig. 13, the CT projection data processing system further includes an image reconstruction unit 550 for performing image reconstruction based on the target CT projection data to obtain a CT reconstructed image.
Further, fig. 14 is a schematic diagram of an exemplary processing engine 140 according to an embodiment, and the processing engine 140 may include a data distinguishing unit 510, a data preprocessing unit 520, a data merging unit 530, an image reconstructing unit 550, and a storage unit 560.
The data discrimination unit 510 may acquire data from one or more components of the computed tomography imaging apparatus 100 (e.g., the scanner 110, the terminal 130, the memory 150, etc.) and may also receive data from other devices via the network 120. The data discrimination unit 510 may acquire data related to a scanning procedure (e.g., one scanning procedure of a scanned object), data related to the computed tomography imaging apparatus 100, and/or data related to an environment in which the computed tomography imaging apparatus 100 is located. In some embodiments, the data related to the scanning procedure may include general information of the scanned subject, such as age, height, weight, sex, medical history, or the like, or any combination thereof. In some embodiments, the data associated with the computed tomography imaging apparatus 100 may include a scan plan, raw scan data, intensity of X-rays, bulb state, focus position, focus size, detector position, and the like, or any combination thereof.
The data acquired by the data discrimination unit 510 may be raw scan image data.
In one embodiment, the data distinguishing unit 510 may send the acquired data to the data preprocessing unit 520, the data preprocessing unit 520 sends the preprocessed data to the data merging unit 530, the data merging unit 530 merges the data and sends the merged data to the image reconstructing unit 550, and the image reconstructing unit 550 reconstructs a CT image and stores the reconstructed CT image in the storage unit 560.
Taking a CT apparatus as an example, the radioactive scanning source 115 of the scanner 110 in the CT apparatus is a bulb of the CT apparatus, from which X-rays are emitted to a scanned object, and the X-rays are received by the detector 112 as raw scanning data after passing through the scanned object. The data distinguishing unit 510 obtains the original scanning data and distinguishes the original scanning data, and sends the distinguished data to the data preprocessing unit 520, the data preprocessing unit 520 preprocesses the data and sends the preprocessed data to the data merging unit 530, the data merging unit 530 merges the data and sends the merged data to the image reconstruction unit 550, the image reconstruction unit 550 reconstructs the image to obtain a CT reconstructed image, and the storage unit 560 stores the CT reconstructed image.
In the embodiment of the present invention, the data distinguishing unit 510 may perform the data distinguishing operation periodically or in real time. The data preprocessing unit 520 may preprocess the data periodically or in real time. The data merging unit 530 may merge data periodically or in real time, and the image reconstruction unit 550 may reconstruct an image periodically or in real time.
The image reconstruction unit 550 may be used to reconstruct a computed tomography image of the scanned object. In some embodiments, the image reconstruction unit 550 may reconstruct an image from the data acquired from the data distinguishing unit 510, the data preprocessing unit 520, and the data combining unit 530. In some embodiments, the image reconstruction unit 550 may generate an image from the data from the storage unit 560. In some embodiments, the image reconstruction unit 550 may process the reconstructed image. The processing may include smoothing, gray-scale normalization, and the like, and any combination thereof. For example, during image reconstruction, the surface of the tissue in the image may be smoothed. In some embodiments, the image reconstruction unit 550 may reconstruct an image according to the reconstruction parameters. The reconstruction parameters may include a reconstructed field of view, a reconstruction matrix, a convolution kernel/reconstruction filter, and the like, or any combination thereof. By way of example only, image reconstruction may be based on methods that utilize fourier slice theorem, filtered backprojection algorithms, fan beam reconstruction, iterative reconstruction, and the like.
The storage unit 560 may store data and/or information. For example only, the storage unit 560 may store information received by the data distinguishing unit 510, the data preprocessing unit 520, the data combining unit 530, and the image reconstructing unit 550. The information may include a scan plan, scan parameters, raw data, reconstructed images, focus position, etc., or any combination thereof. In some embodiments, storage unit 560 may store one or more programs and/or instructions that may be executed by the processor(s) of processing engine 140 to perform the exemplary methods described herein. For example, the storage unit 560 may store program(s) and/or instructions that may be used by the processor(s) of the processing engine 140 to acquire raw scan data, reconstruct a CT image based on the raw scan data, and/or display any intermediate or composite images. In some embodiments, storage unit 560 may include one or more components, which may include hard disk drives, magnetic tape, removable storage drives (e.g., phase change rewritable optical disk drives, magneto-optical drives, USB removable hard disks, etc.), microdrives, and the like, or a combination thereof.
It should be noted that the above description of processing engine 140 is for illustrative purposes only and is not intended to limit the scope of the present invention. Various modifications and alterations may occur to those skilled in the art in light of the teachings of this invention. However, various modifications and changes may be made without departing from the scope of the present invention.
The CT projection data processing system and the CT projection data processing method are in one-to-one correspondence, and the technical characteristics and the beneficial effects described in the embodiment of the CT projection data processing method are all applicable to the embodiment of the CT projection data processing system.
According to the CT projection data processing method, the embodiment of the invention also provides a readable storage medium and a CT device.
A readable storage medium, on which an executable program is stored, which when executed by a processor implements the steps of the above-mentioned CT projection data processing method.
The readable storage medium can realize that the projection data of each focus can be independently preprocessed more quickly through the executable program stored in the readable storage medium, the complexity of a preprocessing algorithm can be simplified, and because the ray beams have the same geometric structure when the ray sources are at the same focus position, the calculation amount of each preprocessing step can be reduced by independently preprocessing the projection data of each focus, so that the preprocessing time is reduced.
The CT device comprises a memory and a processor, wherein the memory stores an executable program, and the processor realizes the steps of the CT projection data processing method when executing the executable program.
According to the PET equipment, the executable program is operated on the processor, so that the projection data of each focus can be independently preprocessed more quickly, the complexity of a preprocessing algorithm can be simplified, and because the ray beams have the same geometric structure when the ray sources are at the same focus position, the calculation amount of each preprocessing step can be reduced by independently preprocessing the projection data of each focus, so that the preprocessing time is reduced, in addition, the CT projection sub-data of different focuses are combined after preprocessing, the combined target CT projection data can be reconstructed by adopting the original CT image reconstruction algorithm, and the CT reconstruction performance is improved under the condition that the CT image reconstruction algorithm is not changed.
A CT apparatus of the present invention may include a radiation source, a detector, a memory, and a processor. The CT apparatus may be a stand-alone device or may be included in the computed tomography apparatus 100 shown in fig. 1. For example, the radiation source of the CT apparatus may be the radioactive scanning source 115 in the computed tomography apparatus 100, the memory may be the memory 150 in the computed tomography apparatus 100, and the processor may be the processor 220 in the processing engine 140. The memory of the CT device is used to store instructions executable by the processor for executing the instructions to effect reconstruction of a CT image.
It will be understood by those skilled in the art that all or part of the processes for implementing the above-described embodiments in the CT projection data processing method may be implemented by a computer program, which may be stored in a non-volatile computer-readable storage medium, and in an embodiment, the program may be stored in the storage medium of a computer system and executed by at least one processor in the computer system to implement the processes including the above-described embodiments of the CT projection data processing method. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
Those skilled in the art will appreciate that all or part of the steps in the method for implementing the above embodiments may be implemented by a program instructing the relevant hardware. The program may be stored in a readable storage medium. Which when executed comprises the steps of the method described above. The storage medium includes: ROM/RAM, magnetic disk, optical disk, etc.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of processing CT projection data, comprising the steps of:
after multi-focus CT projection data are obtained, distinguishing the CT projection data to obtain CT projection sub-data corresponding to different focuses;
respectively preprocessing the CT projection subdata corresponding to different focuses, wherein the preprocessing comprises the correction of the CT projection subdata;
and merging the preprocessed CT projection subdata with different focuses to obtain target CT projection data.
2. The CT projection data processing method according to claim 1, wherein the step of distinguishing the CT projection data to obtain the sub-CT projection data corresponding to different focuses comprises the steps of:
acquiring a multi-focus arrangement sequence, and performing traversal classification on the CT projection data according to the arrangement sequence to obtain CT projection sub-data corresponding to different focuses.
3. The CT projection data processing method of claim 1, wherein the step of preprocessing the CT projection sub-data corresponding to different focuses respectively comprises the steps of:
and performing parallel preprocessing on the CT projection subdata corresponding to different focuses.
4. The CT projection data processing method of claim 1, further comprising, before said obtaining the multi-focus CT projection data, the steps of:
and respectively setting preprocessing parameters corresponding to different focuses according to the properties of the focuses.
5. The CT projection data processing method of claim 4, wherein the pre-processing parameters include reconstruction parameters set through a software interface before the CT scan, acquisition parameters at the time of the CT scan, and algorithm parameters of a pre-processing algorithm.
6. The CT projection data processing method of claim 1, wherein the step of combining the pre-processed CT projection sub-data of different focuses comprises the steps of:
and acquiring a multi-focus arrangement sequence, and merging the preprocessed CT projection sub-data of different focuses according to the arrangement sequence.
7. The CT projection data processing method of any of claims 1 to 6, further comprising the steps of:
and carrying out image reconstruction according to the target CT projection data to obtain a CT reconstructed image.
8. A CT projection data processing system, comprising:
the data distinguishing unit is used for distinguishing the CT projection data after the multi-focus CT projection data are obtained to obtain CT projection sub-data corresponding to different focuses;
the data preprocessing unit is used for respectively preprocessing the CT projection subdata with different focuses, and the preprocessing comprises the correction of the CT projection subdata;
and the data merging unit is used for merging the preprocessed CT projection subdata with different focuses to obtain target CT projection data.
9. A readable storage medium, on which an executable program is stored, wherein the executable program, when executed by a processor, implements the steps of the CT projection data processing method of any one of claims 1 to 7.
10. A CT device comprising a memory and a processor, the memory storing an executable program, wherein the processor implements the steps of the CT projection data processing method of any one of claims 1 to 7 when executing the executable program.
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