CN110833429B - Computed tomography imaging method, device, equipment and storage medium - Google Patents
Computed tomography imaging method, device, equipment and storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 62
- 238000013170 computed tomography imaging Methods 0.000 title claims abstract description 39
- 238000012805 post-processing Methods 0.000 claims abstract description 70
- 238000003384 imaging method Methods 0.000 claims abstract description 26
- 238000012545 processing Methods 0.000 claims description 33
- 238000004590 computer program Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 description 24
- 238000002591 computed tomography Methods 0.000 description 10
- 210000002216 heart Anatomy 0.000 description 6
- 238000000638 solvent extraction Methods 0.000 description 5
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- 238000004904 shortening Methods 0.000 description 3
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- 230000008901 benefit Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 210000004185 liver Anatomy 0.000 description 2
- 210000000056 organ Anatomy 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 230000000747 cardiac effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 210000003734 kidney Anatomy 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/02—Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computerised tomographs
- A61B6/032—Transmission computed tomography [CT]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
Abstract
The embodiment of the invention discloses a computed tomography imaging method, a device, equipment and a storage medium. The method comprises the following steps: acquiring scanning data acquired by a plurality of rows of detectors, and dividing the scanning data into at least two scanning data sets, wherein each scanning data set corresponds to the scanning data acquired by one or a plurality of rows of detectors in the plurality of rows of detectors respectively; reconstructing the current data to be processed by taking one of the at least two scanning data sets as the current data to be processed, so as to obtain a current reconstructed image; when the current reconstructed image is post-processed, the next scanning data set corresponding to the current data to be processed is reconstructed. According to the technical scheme provided by the embodiment of the invention, the reconstruction of the unreconstructed scanning data set and the post-processing of the reconstructed image corresponding to the reconstructed scanning data set can be executed in parallel by dividing the scanning data, so that the imaging time of a large amount of scanning data is greatly shortened.
Description
Technical Field
The embodiment of the invention relates to the technical field of medical image processing, in particular to a computer tomography imaging method, a device, equipment and a storage medium.
Background
The width of each row of detectors of the 320 rows of computer tomography scanners (Computed Tomography, CT) is 0.5 millimeter, and one scanning can reach a coverage of 16 centimeters, namely, one scanning can obtain the scanning data of the whole organ range of most organs of the whole body such as heart, brain, kidney, pancreas, liver and the like, thereby greatly shortening the scanning time. In particular, for the heart, typically 320 rows of CT's can be scanned around the heart one revolution within 0.5 seconds, resulting in scan data for the entire heart range. The extremely short scanning time makes the influence of the change of the heart rhythm on the scanning data extremely small, and improves the success rate of scanning.
After the scan data are obtained, the scan data need to be imaged so that a doctor can intuitively observe the examination situation of each subject. For example, the scan data may be reconstructed (Reconstruction), or the scan data may be first subjected to Correction processing (Correction), and the corrected data may be reconstructed. On the basis, post processing (PostProcess) can be performed on the reconstructed image obtained by reconstruction according to actual conditions.
However, the shortening of the scan time means that a large amount of scan data is generated in a very short time, and how to rapidly image the scan data so that a doctor can timely learn about the examination condition of the subject is a problem to be solved.
Disclosure of Invention
The embodiment of the invention provides a computed tomography imaging method, a device, equipment and a storage medium, so as to effectively shorten the imaging time of scanning data.
In a first aspect, an embodiment of the present invention provides a computed tomography imaging method, which may include:
acquiring scanning data acquired by a plurality of rows of detectors, and dividing the scanning data into at least two scanning data sets, wherein each scanning data set corresponds to the scanning data acquired by one or a plurality of rows of detectors in the plurality of rows of detectors respectively;
reconstructing the current data to be processed by taking one of the at least two scanning data sets as the current data to be processed, so as to obtain a current reconstructed image;
when the current reconstructed image is post-processed, the next scanning data set corresponding to the current data to be processed is reconstructed.
Optionally, when post-processing is performed on the current reconstructed image, reconstructing a next scan data set corresponding to the current data to be processed may include:
updating the next scanning data set corresponding to the current data to be processed in the at least two scanning data sets into the current data to be processed, and repeating the step of reconstructing the current data to be processed when the current reconstructed image is subjected to post-processing.
Optionally, reconstructing the current data to be processed may include: and correcting the current data to be processed to obtain correction data, and reconstructing the correction data.
Optionally, dividing the scan data into at least two scan data sets may include: if the data amount of the scanning data is larger than a preset threshold value, dividing the scanning data into at least two scanning data sets.
Optionally, acquiring the scan data acquired by the multiple rows of detectors may include: acquiring scan data of a target portion of a subject based on a plurality of rows of detectors;
correspondingly, when post-processing is performed on the current reconstructed image, reconstructing the next scan data set corresponding to the current data to be processed may include:
if the current reconstructed image contains a target part, reconstructing a next scanning data set corresponding to the current data to be processed when the current reconstructed image is subjected to post-processing;
if the current reconstructed image does not contain the target part, after post-processing the current reconstructed image, the processing is finished.
Optionally, acquiring the scan data acquired by the multiple rows of detectors may include: acquiring scan data of a target portion of a subject based on a plurality of rows of detectors;
accordingly, taking one of the at least two scan data sets as the current data to be processed may include: and extracting current data to be processed from at least two scanning data sets based on the position relation between the target part and the multiple rows of detectors.
In a second aspect, embodiments of the present invention also provide a computed tomography imaging apparatus, which may include:
the data dividing module is used for acquiring the scanning data acquired by the multiple rows of detectors and dividing the scanning data into at least two scanning data sets, wherein each scanning data set corresponds to the scanning data acquired by one or a plurality of rows of detectors in the multiple rows of detectors respectively;
the image reconstruction module is used for reconstructing the current data to be processed by taking one of the at least two scanning data sets as the current data to be processed to obtain a current reconstructed image;
and the post-processing module is used for reconstructing the next scanning data set corresponding to the current data to be processed when the current reconstructed image is subjected to post-processing.
Optionally, the post-processing module may specifically be configured to:
updating the next scanning data set corresponding to the current data to be processed in the at least two scanning data sets into the current data to be processed, and repeating the step of reconstructing the current data to be processed when the current reconstructed image is subjected to post-processing.
In a third aspect, an embodiment of the present invention further provides an apparatus, which may include:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the computed tomography imaging methods provided by any of the embodiments of the present invention.
In a fourth aspect, embodiments of the present invention also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the computed tomography imaging method provided by any of the embodiments of the present invention.
According to the technical scheme, the scanning data acquired by the multi-row detector are divided into at least two scanning data sets, so that after one scanning data set of the at least two scanning data sets is reconstructed, when the reconstructed image corresponding to the reconstructed scanning data set is subjected to post-processing, the next scanning data set corresponding to the reconstructed scanning data set can be reconstructed. According to the technical scheme, the scanning data are divided into at least two scanning data groups, and each scanning data group is used as independent scanning data capable of imaging, so that for any one reconstructed scanning data group and one non-reconstructed scanning data group, the reconstruction of the non-reconstructed scanning data group and the post-processing of a reconstructed image corresponding to the reconstructed scanning data group can be simultaneously realized, and further, the parallel execution of the reconstruction and the post-processing greatly shortens the imaging time of a large amount of scanning data.
Drawings
FIG. 1 is a flow chart of a computed tomography imaging method in accordance with a first embodiment of the present invention;
FIG. 2a is a first schematic illustration of a computed tomography imaging process in an embodiment of the invention;
FIG. 2b is a second schematic illustration of a computed tomography imaging process in an embodiment of the invention;
FIG. 3 is a block diagram of a computed tomography imaging apparatus according to a second embodiment of the present invention;
fig. 4 is a schematic structural view of an apparatus according to a third embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Before describing the embodiment of the present invention, an application scenario of the embodiment of the present invention is described: for the correction processes, reconstruction and post-processing which may be involved in computed tomography imaging, they have respective processing modes. The processing object of the correction processing is scan data acquired by a plurality of rows of detectors, wherein the scan data is processed by taking view as a unit, namely, the processing is performed in a view-by-view mode, the view is the scan data acquired by the plurality of rows of detectors at a certain angle, the processing result is correction data, and in fact, the scan data and the correction data can be generally called as raw data.
2) The reconstructed processing object is raw data, which is processed by the view unit and processed by the view units, for example, processing is performed based on raw data of 360 degrees or 180 degrees; the processing result is a reconstructed image, and all the reconstructed images related to the current reconstruction need to be output, so that only part of the reconstructed images cannot be output. For example, for the scan data acquired by the 320-row computed tomography scanner, for 320 reconstructed images obtained after all the scan data are reconstructed, all the output is required, that is, 320 reconstructed images are output at a time.
3) The post-processing target is a reconstructed image, which is processed in units of reconstructed images, that is, processed in a manner of one reconstructed image after another, and the processing result is a DICOM image.
It can be seen that the execution sequence of the reconstruction and the post-processing is strictly limited, because the post-processing object is a reconstructed image, and the reconstruction must be performed first; moreover, since the reconstruction requires outputting all the reconstructed images at once, only after the end of the total execution of the reconstruction, the post-processing can be performed based on all the reconstructed images obtained by the reconstruction, i.e., both are performed purely in series.
Accordingly, there is also a strict limitation on the execution sequence of the correction process and the reconstruction, since the reconstructed processing object is correction data, the correction process must be performed first; however, since the correction processing and the reconstruction are both processed in units of view, although the reconstruction is processed in units of a plurality of views, after obtaining the correction data corresponding to the scan data of the plurality of views, the reconstruction of the correction data and the correction processing of the remaining scan data, that is, both are performed simultaneously. For example, after the scan data of the multiple rows of detectors are acquired, correction data corresponding to the first row of scan data may be obtained, and then, the reconstruction of the first row of correction data and the correction processing of the second row of scan data are performed simultaneously, and so on.
To better understand the above specific procedure, an exemplary 320-row computed tomography scanner typically scans only one revolution and obtains about 2000 views of scan data when performing cardiac scanning, and when imaging these scan data, 320 DICOM images can be output. Wherein the computed tomography imaging process can be seen in fig. 2a, from which it can be seen that the reconstruction starts to be performed after the correction process has been performed for a short period of time, at which time the correction process and the reconstruction are performed simultaneously; when the reconstruction is completed, the correction process is also completed, and the post-process is started until the post-process is completed. On this basis, since the correction process takes 20 seconds, the reconstruction takes 25 seconds, the post-processing takes 15 seconds, and the correction process and the reconstruction which can be performed in parallel take 25 seconds for the larger of the two, and the reconstruction and the post-processing which are performed in series are added, the total time of the imaging process should be about correction process and reconstruction+post-processing=25 seconds+15 seconds=40 seconds. Obviously, the imaging of the scan data of all rows of detectors is still relatively long to process simultaneously, and thus, for a large amount of scan data generated in an extremely short time, how to effectively shorten the imaging time of these scan data is of great importance.
Example 1
Fig. 1 is a flowchart of a computed tomography imaging method provided in a first embodiment of the present invention. The embodiment can be applied to the case of quickly realizing the computed tomography imaging of the scanning data, and is particularly applicable to the case of quickly realizing the computed tomography imaging of a large amount of scanning data. The method may be performed by a computed tomography imaging apparatus provided by an embodiment of the present invention, which may be implemented in software and/or hardware, which may be integrated on various user devices.
Referring to fig. 1, the method of the embodiment of the present invention specifically includes the following steps:
s110, acquiring scanning data acquired by a plurality of rows of detectors, and dividing the scanning data into at least two scanning data sets, wherein each scanning data set corresponds to the scanning data acquired by one or a plurality of rows of detectors in the plurality of rows of detectors.
The method comprises the steps of acquiring scanning data acquired by a plurality of rows of detectors in a computed tomography scanner, and dividing the scanning data according to the rows of the detectors to obtain at least two scanning data sets, wherein each scanning data set corresponds to the scanning data acquired by one or a plurality of rows of the detectors in the plurality of rows of the detectors. For example, for scan data acquired by 320 row of detectors in 320 row of computed tomography scanners, the scan data may be divided into 4 scan data sets, each scan data set may include scan data acquired by 80 row of detectors, for example, the 1 st scan data set includes scan data acquired by 1 st to 80 th row of detectors, the 2 nd scan data set includes scan data … … acquired by 81 st to 160 nd row of detectors, and so on. In this case, one whole data is divided into a plurality of partial data, and then each scan data set can be used as independent imaging scan data, and each scan data set is subjected to the respective phases involved in the computed tomography imaging.
Optionally, dividing the scan data into at least two scan data sets may specifically include: if the data amount of the scanning data is larger than a preset threshold value, dividing the scanning data into at least two scanning data sets. That is, the reason for dividing the scan data is that the data amount of the scan data acquired by the plurality of rows of detectors may be large, for example, the data amount of the scan data acquired by the 320 rows of detectors is substantially 4 times that of the 80 rows of detectors. If these large amounts of scan data are imaged as a whole, the reconstruction and post-processing performed serially takes a long time. Therefore, when the data amount of the scan data is large, the scan data can be divided into at least two scan data groups. Of course, in order to shorten the imaging time as much as possible, when the data amount of the scan data is not large, the scan data may still be divided into at least two scan data groups.
S120, reconstructing the current data to be processed by taking one of the at least two scanning data sets as the current data to be processed, so as to obtain a current reconstructed image.
In this case, since the reconstruction and the post-processing are performed serially, that is, only after the reconstruction is completed, the reconstructed images are output at all, the post-processing can be performed based on these reconstructed images. On the basis of this, since the scan data has been divided into at least two scan data sets, one of the at least two scan data sets can be used as current data to be processed, i.e. as an independent, imageable scan data, for which the phases involved in the computed tomography imaging are performed. Of course, the scan data set of the at least two scan data sets other than the data currently to be processed can also be a separate, imageable scan data and be subjected to the various phases involved in the computed tomography imaging. Therefore, after the current data to be processed is obtained, the current data to be processed can be reconstructed to obtain a current reconstructed image.
S130, reconstructing a next scanning data set corresponding to the current data to be processed when the current reconstruction image is subjected to post-processing.
After the current reconstructed image is obtained, the current reconstructed image can be post-processed, and in the post-processing process, the next scanning data set corresponding to the current data to be processed can be reconstructed. That is, the reconstruction and the post-processing are performed serially for the same scan data set, but the post-processing of the reconstructed image and the reconstruction of the unreconstructed scan data corresponding to different scan data sets, especially the reconstructed scan data set, can be performed in parallel, which can convert the complete serial execution of the reconstruction and the post-processing into the relative parallel execution, thereby effectively shortening the imaging time of the scan data.
Of course, when there are three or more scan data sets, the imaging process of any adjacent scan data set may adopt the above scheme, and on this basis, optionally, when post-processing is performed on the current reconstructed image, reconstructing the next scan data set corresponding to the current data to be processed may specifically include: updating the next scanning data set corresponding to the current data to be processed in the at least two scanning data sets into the current data to be processed, and repeating the step of reconstructing the current data to be processed when the current reconstructed image is subjected to post-processing. In this way, when the current reconstructed image is post-processed, as long as there is a next scan data set corresponding to the current data to be processed, the scan data set can be reconstructed, thereby realizing parallel execution of the reconstruction and post-processing of the two scan data sets.
According to the technical scheme, the scanning data acquired by the multi-row detector are divided into at least two scanning data sets, so that after one scanning data set of the at least two scanning data sets is reconstructed, when the reconstructed image corresponding to the reconstructed scanning data set is subjected to post-processing, the next scanning data set corresponding to the reconstructed scanning data set can be reconstructed. According to the technical scheme, the scanning data are divided into at least two scanning data groups, and each scanning data group is used as independent scanning data capable of imaging, so that for any one reconstructed scanning data group and one non-reconstructed scanning data group, the reconstruction of the non-reconstructed scanning data group and the post-processing of a reconstructed image corresponding to the reconstructed scanning data group can be simultaneously realized, and further, the parallel execution of the reconstruction and the post-processing greatly shortens the imaging time of a large amount of scanning data.
An optional technical scheme for reconstructing current data to be processed specifically may include: and correcting the current data to be processed to obtain correction data, and reconstructing the correction data. At this time, there is also a correction process before reconstruction, and if the scan data is divided into at least two scan data groups, its correction process and reconstruction are performed in parallel for each scan data group.
In summary, after dividing the scan data acquired by the multiple rows of detectors into at least two scan data sets, on one hand, the specific process of parallel execution of the correction processing and the reconstruction is that, after the correction processing of the 1 st scan data set is executed for a short period of time, the reconstruction of the 1 st scan data set is executed, that is, the scan data subjected to the correction processing in the 1 st scan data set is reconstructed, and at this time, the correction processing and the reconstruction of the 1 st scan data set are executed simultaneously. After the execution of the correction processing of the 1 st scanning data set is finished, the correction processing of the 2 nd scanning data set is executed, and if the reconstruction of the 1 st scanning data set is not finished in the process, the reconstruction of the 1 st scanning data set is continuously executed; if the reconstruction of the 2 nd scan data set is completed, the reconstruction of the 2 nd scan data set is performed, and so on. On the other hand, the specific procedure of parallel execution of the reconstruction and the post-processing is that, after the end of the reconstruction execution of the 1 st scan data group, the reconstruction of the 2 nd scan data group is executed, and the post-processing of the reconstructed image corresponding to the 1 st scan data group is executed. Further, when the post-processing execution of the 1 st scan data group is ended and the reconstruction execution of the 2 nd scan data group is ended, the post-processing of the 2 nd scan data group is executed, and so on.
In order to better understand the implementation of the above steps, the computed tomography imaging method of the present embodiment is exemplarily described with reference to fig. 2b in comparison to the example shown in fig. 2 a. Illustratively, scan data acquired based on a 320-row computed tomography scanner is divided into 4 scan data sets, each scan data set including scan data acquired by 80-row detectors. At this time, the correction process takes 4 seconds for each scan data set, the reconstruction takes 6.5 seconds, and the post-process takes 4 seconds. Then, it takes about 6.5 seconds from the start of the correction process for the 1 st scan data set to the time when the entire reconstructed image of the 1 st scan data set is obtained; further, the correction processing and reconstruction of the 2 nd scan data set may be performed in parallel while the post-processing is performed on the reconstructed image corresponding to the 1 st scan data set, and so on. After the last 1 scanning data set is reconstructed, only the post-processing of the reconstructed image corresponding to the last 1 scanning data set is needed to be executed. In this way, the total time consumption of the imaging process should be about 6.5 seconds×4+4 seconds=30 seconds, which is obviously shorter than the imaging time of 40 seconds, that is, the computed tomography imaging method in the embodiment of the invention effectively shortens the imaging time of the scan data.
An optional technical scheme, acquiring scan data acquired by multiple rows of detectors, may specifically include: acquiring scan data of a target portion of a subject based on a plurality of rows of detectors; correspondingly, when post-processing is performed on the current reconstructed image, reconstructing a next scan data set corresponding to the current data to be processed may specifically include: if the current reconstructed image contains a target part, reconstructing a next scanning data set corresponding to the current data to be processed when the current reconstructed image is subjected to post-processing; if the current reconstructed image does not contain the target part, after post-processing the current reconstructed image, the processing is finished.
In practice, some target sites are continuous, i.e. no faults occur in the middle of the target site, for example, the heart is a continuous target site, and the whole abdomen is not a continuous target site, because the whole abdomen includes the liver and pelvis separated from each other. For scan data of consecutive target locations, if the current reconstructed image does not include the target location, the next reconstructed image must also not include the target location, because the scan data at this time no longer covers the target location, and then there is no need to continue reconstructing the next set of scan data. At this time, after post-processing is performed on the current reconstructed image, the current imaging process can be ended. The above technical arrangement has the advantage that the imaging time can be further shortened from the viewpoint of detecting whether the target site is included in the reconstructed image.
An optional technical scheme for acquiring scan data acquired by multiple rows of detectors specifically may include: acquiring scan data of a target portion of a subject based on a plurality of rows of detectors; correspondingly, taking one of at least two scanning data sets as current data to be processed, the method specifically comprises the following steps: and extracting current data to be processed from at least two scanning data sets based on the position relation between the target part and the multiple rows of detectors.
In practical applications, the widths of the multiple rows of detectors are very wide, even much larger than the widths of the target portion, for example, the widths of the target portion are only half of the widths of the detectors, at this time, the positional relationship between the target portion and the multiple rows of detectors can be determined first, and then the current data to be processed in at least two scan data sets can be determined according to the positional relationship. For example, the target site is located at 2/5-4/5 of the detector, and the positional relationship between each scan data set and the detector may be combined, for example, if the 1 st scan data set corresponds to the 1 st-80 th row of detectors, the 2 nd scan data set corresponds to the 81 st-160 th row of detectors … …, and so on, the 2 nd scan data set is located at 1/4-1/2 of the detector, including the 2/5 position, so that the target site is not necessarily included in the 1 st scan data set, which is not significant for any processing. The technical scheme has the advantages that when the widths of the multiple rows of detectors are far larger than those of the target part, a plurality of scanning data sets which do not need to be processed can be determined according to the position relation between the target part and the multiple rows of detectors, so that the imaging time is further shortened.
Example two
Fig. 3 is a block diagram of a computed tomography imaging apparatus according to a second embodiment of the present invention, which is configured to perform the computed tomography imaging method according to any of the foregoing embodiments. The apparatus belongs to the same inventive concept as the computed tomography imaging method of the above embodiments, and reference may be made to the above embodiments of the computed tomography imaging method for details that are not described in detail in the embodiments of the computed tomography imaging apparatus. Referring to fig. 3, the apparatus may specifically include: a data partitioning module 310, an image reconstruction module 320, and a post-processing module 330.
The data dividing module 310 is configured to obtain scan data acquired by multiple rows of detectors, and divide the scan data into at least two scan data sets, where each scan data set corresponds to scan data acquired by one or more rows of detectors in the multiple rows of detectors;
an image reconstruction module 320, configured to reconstruct current data to be processed by using one of the at least two scan data sets as the current data to be processed, to obtain a current reconstructed image;
the post-processing module 330 is configured to reconstruct a next scan data set corresponding to the current data to be processed when post-processing the current reconstructed image.
Optionally, the post-processing module 330 may specifically be configured to:
updating the next scanning data set corresponding to the current data to be processed in the at least two scanning data sets into the current data to be processed, and repeating the step of reconstructing the current data to be processed when the current reconstructed image is subjected to post-processing.
Optionally, the image reconstruction module 320 may specifically be configured to:
and correcting the current data to be processed to obtain correction data, and reconstructing the correction data.
Optionally, the data partitioning module 310 may be specifically configured to: if the data amount of the scanning data is larger than a preset threshold value, dividing the scanning data into at least two scanning data sets.
Optionally, the data partitioning module 310 may be specifically configured to: acquiring scan data of a target portion of a subject based on a plurality of rows of detectors;
accordingly, the post-processing module 330 may specifically include:
the reconstruction unit is used for reconstructing the next scanning data set corresponding to the current data to be processed when the current reconstruction image is subjected to post-processing if the current reconstruction image contains the target part;
and the post-processing unit is used for finishing the post-processing of the current reconstructed image after the current reconstructed image does not contain the target part.
Optionally, the data partitioning module 310 may be specifically configured to: acquiring scan data of a target portion of a subject based on a plurality of rows of detectors;
accordingly, the image reconstruction module 320 may be specifically configured to: and extracting current data to be processed from at least two scanning data sets based on the position relation between the target part and the multiple rows of detectors.
According to the CT imaging device provided by the embodiment of the invention, the scanning data acquired by the multiple rows of detectors can be divided into at least two scanning data sets through the mutual coordination of the modules, so that after one scanning data set of the at least two scanning data sets is reconstructed, when the reconstructed image corresponding to the reconstructed scanning data set is subjected to post-processing, the next scanning data set corresponding to the reconstructed scanning data set can be reconstructed. According to the device, the scanning data are divided into at least two scanning data groups, and each scanning data group is used as independent scanning data capable of being imaged, so that for any one reconstructed scanning data group and one non-reconstructed scanning data group, the reconstruction of the non-reconstructed scanning data group and the post-processing of a reconstructed image corresponding to the reconstructed scanning data group can be simultaneously realized, and further, the parallel execution of the reconstruction and the post-processing greatly shortens the imaging time of a large amount of scanning data.
The computer tomography imaging device provided by the embodiment of the invention can execute the computer tomography imaging method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
It should be noted that, in the embodiment of the computed tomography imaging apparatus described above, each unit and module included are only divided according to the functional logic, but are not limited to the above-described division, as long as the corresponding functions can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.
Example III
Fig. 4 is a schematic structural diagram of an apparatus according to a third embodiment of the present invention, and as shown in fig. 4, the apparatus includes a memory 410, a processor 420, an input device 430, and an output device 440. The number of processors 420 in the device may be one or more, one processor 420 being taken as an example in fig. 4; the memory 410, processor 420, input means 430 and output means 440 in the device may be connected by a bus or other means, in fig. 4 by way of example by a bus 450.
The memory 410 is a computer readable storage medium that can be used to store software programs, computer executable programs, and modules, such as program instructions/modules (e.g., the data partitioning module 310, the image reconstruction module 320, and the post-processing module 330 in a computed tomography imaging apparatus) corresponding to a computed tomography imaging method in an embodiment of the present invention. The processor 420 performs various functional applications of the device and data processing, i.e., implements the computed tomography imaging methods described above, by running software programs, instructions, and modules stored in the memory 410.
Memory 410 may include primarily a program storage area and a data storage area, wherein the program storage area may store an operating system, at least one application program required for functionality; the storage data area may store data created according to the use of the device, etc. In addition, memory 410 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some examples, memory 410 may further include memory located remotely from processor 420, which may be connected to the device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 430 may be used to receive input numeric or character information and to generate key signal inputs related to user settings and function control of the device. The output 440 may include a display device such as a display screen.
Example IV
A fourth embodiment of the present invention provides a storage medium containing computer executable instructions which, when executed by a computer processor, are for performing a computed tomography imaging method comprising:
acquiring scanning data acquired by a plurality of rows of detectors, and dividing the scanning data into at least two scanning data sets, wherein each scanning data set corresponds to the scanning data acquired by one or a plurality of rows of detectors in the plurality of rows of detectors respectively;
reconstructing the current data to be processed by taking one of the at least two scanning data sets as the current data to be processed, so as to obtain a current reconstructed image;
when the current reconstructed image is post-processed, the next scanning data set corresponding to the current data to be processed is reconstructed.
Of course, the storage medium containing computer executable instructions provided in the embodiments of the present invention is not limited to the method operations described above, and may also perform related operations in the computed tomography imaging method provided in any of the embodiments of the present invention.
From the above description of embodiments, it will be clear to a person skilled in the art that the present invention may be implemented by means of software and necessary general purpose hardware, but of course also by means of hardware, although in many cases the former is a preferred embodiment. In light of such understanding, the technical solution of the present invention may be embodied essentially or in part in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), FLASH Memory (FLASH), hard disk, optical disk, etc., of a computer, which may be a personal computer, a server, a network device, etc., and which includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in the embodiments of the present invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (9)
1. A computed tomography imaging method comprising:
acquiring scanning data acquired by a plurality of rows of detectors, and dividing the scanning data into at least two scanning data sets, wherein each scanning data set corresponds to the scanning data acquired by one or a plurality of rows of detectors in the plurality of rows of detectors respectively, and each scanning data set is used as independent scanning data capable of imaging;
reconstructing the current data to be processed by taking one scanning data set of the at least two scanning data sets as the current data to be processed, so as to obtain a current reconstructed image;
when the current reconstructed image is subjected to post-processing, reconstructing a next scanning data set corresponding to the current data to be processed;
the reconstructing the current data to be processed comprises the following steps: correcting the current data to be processed to obtain correction data, and reconstructing the correction data; the processing object of the correction processing is scanning data acquired by a plurality of rows of detectors, and the correction processing is performed according to the scanning data acquired by the plurality of rows of detectors at a certain angle.
2. The method according to claim 1, wherein reconstructing a next scan data set corresponding to the current data to be processed when post-processing the current reconstructed image, comprises:
updating the next scanning data set corresponding to the current data to be processed in the at least two scanning data sets into the current data to be processed, and repeating the step of reconstructing the current data to be processed when the current reconstructed image is subjected to post-processing.
3. The method of claim 1, wherein the dividing the scan data into at least two scan data sets comprises: and if the data quantity of the scanning data is larger than a preset threshold value, dividing the scanning data into at least two scanning data sets.
4. The method of claim 1, wherein acquiring the scan data acquired by the plurality of rows of detectors comprises: acquiring scan data of a target portion of a subject based on a plurality of rows of detectors;
correspondingly, when the current reconstructed image is subjected to post-processing, reconstructing a next scanning data set corresponding to the current data to be processed, including:
if the current reconstructed image contains the target part, reconstructing a next scanning data set corresponding to the current data to be processed when the current reconstructed image is subjected to post-processing;
and if the current reconstructed image does not contain the target part, finishing the processing after the current reconstructed image is subjected to the post-processing.
5. The method of claim 1, wherein acquiring the scan data acquired by the plurality of rows of detectors comprises: acquiring scan data of a target portion of a subject based on a plurality of rows of detectors;
correspondingly, the step of taking one of the at least two scan data sets as current data to be processed includes: and extracting current data to be processed from the at least two scanning data sets based on the position relation between the target part and the multiple rows of detectors.
6. A computed tomography imaging apparatus, comprising:
the data dividing module is used for acquiring the scanning data acquired by the multiple rows of detectors and dividing the scanning data into at least two scanning data sets, wherein each scanning data set corresponds to the scanning data acquired by one or more rows of detectors in the multiple rows of detectors respectively, and each scanning data set is used as independent scanning data capable of imaging;
the image reconstruction module is used for reconstructing the current data to be processed by taking one scanning data set of the at least two scanning data sets as the current data to be processed to obtain a current reconstructed image;
the post-processing module is used for reconstructing a next scanning data set corresponding to the current data to be processed when the current reconstructed image is subjected to post-processing;
the image reconstruction module can be specifically used for:
correcting the current data to be processed to obtain correction data, and reconstructing the correction data; the processing object of the correction processing is scanning data acquired by a plurality of rows of detectors, and the correction processing is performed according to the scanning data acquired by the plurality of rows of detectors at a certain angle.
7. The apparatus according to claim 6, wherein the post-processing module is specifically configured to: updating the next scanning data set corresponding to the current data to be processed in the at least two scanning data sets into the current data to be processed, and repeating the step of reconstructing the current data to be processed when the current reconstructed image is subjected to post-processing.
8. An apparatus, the apparatus comprising:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the computed tomography imaging method of any of claims 1-5.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the computed tomography imaging method as claimed in any of claims 1-5.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102793555A (en) * | 2011-05-24 | 2012-11-28 | 西门子公司 | Method and computed tomography system for generating tomographic image datasets |
| CN104484232A (en) * | 2014-08-11 | 2015-04-01 | 沈阳东软医疗系统有限公司 | Method and device for improving image reconstruction speed |
| CN104899903A (en) * | 2015-05-12 | 2015-09-09 | 公安部第一研究所 | GPU parallel acceleration dual spectrum CT reconstruction method based on CUDA architecture |
| DE102014213047A1 (en) * | 2014-07-04 | 2016-01-07 | Siemens Aktiengesellschaft | X-ray detector with high voltage power supply and medical imaging device |
| JP2016154847A (en) * | 2015-02-20 | 2016-09-01 | 東芝メディカルシステムズ株式会社 | X-ray computer tomographic apparatus and x-ray detector |
| CN108872899A (en) * | 2018-06-28 | 2018-11-23 | 中国科学院深圳先进技术研究院 | Reconstructing device, method, magnetic resonance system, equipment and the medium of magnetic resonance image |
| CN109199422A (en) * | 2018-11-14 | 2019-01-15 | 上海联影医疗科技有限公司 | CT preview image rebuilds optimization method, device, computer equipment and storage medium |
| CN109389654A (en) * | 2018-09-30 | 2019-02-26 | 上海联影医疗科技有限公司 | A kind of CT data re-establishing method, device, equipment and storage medium |
| CN110327071A (en) * | 2019-08-06 | 2019-10-15 | 上海联影医疗科技有限公司 | CT scan method, apparatus, equipment and storage medium |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6765983B2 (en) * | 2002-12-13 | 2004-07-20 | General Electric Company | Method and apparatus for imaging a region of dynamic tissue |
| US7447345B2 (en) * | 2003-12-16 | 2008-11-04 | General Electric Company | System and method for generating PET-CT images |
| DE102005012654B4 (en) * | 2005-03-18 | 2007-12-06 | Siemens Ag | Method and computed tomography system for generating tomographic images of an object |
-
2019
- 2019-12-03 CN CN201911221458.9A patent/CN110833429B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102793555A (en) * | 2011-05-24 | 2012-11-28 | 西门子公司 | Method and computed tomography system for generating tomographic image datasets |
| DE102014213047A1 (en) * | 2014-07-04 | 2016-01-07 | Siemens Aktiengesellschaft | X-ray detector with high voltage power supply and medical imaging device |
| CN104484232A (en) * | 2014-08-11 | 2015-04-01 | 沈阳东软医疗系统有限公司 | Method and device for improving image reconstruction speed |
| JP2016154847A (en) * | 2015-02-20 | 2016-09-01 | 東芝メディカルシステムズ株式会社 | X-ray computer tomographic apparatus and x-ray detector |
| CN104899903A (en) * | 2015-05-12 | 2015-09-09 | 公安部第一研究所 | GPU parallel acceleration dual spectrum CT reconstruction method based on CUDA architecture |
| CN108872899A (en) * | 2018-06-28 | 2018-11-23 | 中国科学院深圳先进技术研究院 | Reconstructing device, method, magnetic resonance system, equipment and the medium of magnetic resonance image |
| CN109389654A (en) * | 2018-09-30 | 2019-02-26 | 上海联影医疗科技有限公司 | A kind of CT data re-establishing method, device, equipment and storage medium |
| CN109199422A (en) * | 2018-11-14 | 2019-01-15 | 上海联影医疗科技有限公司 | CT preview image rebuilds optimization method, device, computer equipment and storage medium |
| CN110327071A (en) * | 2019-08-06 | 2019-10-15 | 上海联影医疗科技有限公司 | CT scan method, apparatus, equipment and storage medium |
Non-Patent Citations (4)
| Title |
|---|
| Quantitative assessment of early experimental diabetes in rats using dynamic contrast-enhanced computed tomography;Kenya Murase 等;《European Journal of Radiology》;20100430;第74卷(第1期);280-286 * |
| 冯骥.多层螺旋CT机探测器的技术特点和应用.《医疗设备信息》.2002,(第5期),34-35. * |
| 多层CT扫描技术;张冠石;《中国医疗设备》;20131231;第28卷(第6期);16-17 * |
| 多层螺旋CT机探测器的技术特点和应用;冯骥;《医疗设备信息》(第5期);34-35 * |
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