CN110189386B - Medical image processing method, medical image processing device, storage medium and computer equipment - Google Patents
Medical image processing method, medical image processing device, storage medium and computer equipment Download PDFInfo
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Abstract
The application relates to a medical image processing method, a medical image processing device, a storage medium and computer equipment, wherein an initial image to be processed and an imaging protocol group type corresponding to the initial image are acquired; acquiring target image parameters which are different from the current image parameters of the initial image; and reprocessing the initial image through an image reprocessing strategy corresponding to the imaging protocol group type according to the target image parameters to obtain a reconstructed image. After the initial tomographic image is obtained, if the expected image effect is not satisfied, the photographed initial image can be reprocessed according to the target image parameters to obtain a reconstructed image with better image effect, and the patient does not need to be photographed again by X-rays, so that the additional radiation influence on the patient can be avoided.
Description
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to a medical image processing method, a medical image processing device, a storage medium, and a computer device.
Background
Breast cancer is an important disease seriously threatening the health of women, and in recent years, with the development of medical imaging technology, the detection and diagnosis accuracy of breast cancer is gradually improved. Among them, digital breast tomography (Digital Breast Tomosynthesis, DBT) is the most basic and preferred imaging modality for breast disease.
In the diagnosis process, a doctor acquires a digital breast tomographic image of a patient by performing digital breast tomographic imaging of the patient, however, in the imaging process, when the doctor is not satisfied with the image effect of the current tomographic image, the doctor needs to perform X-ray imaging of the patient again to obtain a tomographic image with a better image effect, thereby requiring additional imaging work and also causing additional radiation influence to the patient.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a medical image processing method, apparatus, storage medium, and computer device that can improve image effects without additional photographing, in view of the problems of the prior art.
A medical image processing method, comprising:
acquiring an initial image to be processed and an imaging protocol group type corresponding to the initial image;
acquiring target image parameters, wherein the target image parameters are different from the current image parameters of the initial image;
and reprocessing the initial image according to the target image parameters by an image reprocessing strategy corresponding to the imaging protocol group type to obtain a reconstructed image.
In one embodiment, the initial image includes a two-dimensional image and a three-dimensional image.
In one embodiment, the method further comprises: preprocessing the initial image;
the pretreatment specifically comprises the following steps: and carrying out image segmentation processing on the initial image, and carrying out negative film operation and equipment error calibration on the segmented image.
In one embodiment, the target image parameters include: segmentation parameters, noise reduction parameters and enhancement parameters;
and reprocessing the initial image according to the target image parameters by an image reprocessing strategy corresponding to the imaging protocol group type to obtain a reconstructed image, wherein the method comprises the following steps:
when the imaging protocol group type is a Mammo protocol group, image segmentation processing is carried out on the initial image according to the segmentation parameters;
according to the noise reduction parameters, performing image noise reduction on the image after the image segmentation processing;
and carrying out image enhancement processing on the image subjected to the image noise reduction processing according to the enhancement parameters to obtain a reconstructed image.
In one embodiment, the target image parameters include filter parameters, filter correction parameters, artifact correction parameters, and back-projection parameters;
and reprocessing the initial image according to the target image parameters by an image reprocessing strategy corresponding to the imaging protocol group type to obtain a reconstructed image, wherein the method comprises the following steps:
when the imaging protocol group type is a Tomo protocol group, carrying out filtering processing on the initial image according to the filtering parameters;
according to the filtering correction parameters, filtering correction processing is carried out on the filtered image;
according to the artifact correction parameters, performing X-ray attenuation artifact correction on the image subjected to the filtering correction;
and carrying out back projection reconstruction on the image subjected to the X-ray attenuation artifact correction according to the back projection parameters to obtain a reconstructed image.
In one embodiment, the target image parameters include segmentation parameters, noise reduction parameters, enhancement intensity parameters, filtering correction parameters, artifact correction parameters, and back-projection parameters;
and reprocessing the initial image according to the target image parameters by an image reprocessing strategy corresponding to the imaging protocol group type to obtain a reconstructed image, wherein the method comprises the following steps:
when the imaging protocol group type is a Combo protocol group, performing first re-processing on the two-dimensional image in the initial image, and performing second re-processing on the three-dimensional image in the initial image;
the first reprocessing includes:
performing image segmentation processing on the two-dimensional image according to the segmentation parameters;
according to the noise reduction parameters, performing image noise reduction on the image after the image segmentation processing;
performing image enhancement processing on the image subjected to the image noise reduction processing according to the enhancement parameters to obtain a reconstructed image;
the second reprocessing includes:
according to the filtering parameters, filtering the three-dimensional image;
according to the filtering correction parameters, filtering correction processing is carried out on the filtered image;
according to the artifact correction parameters, performing X-ray attenuation artifact correction on the image subjected to the filtering correction;
and carrying out back projection reconstruction on the image subjected to the X-ray attenuation artifact correction according to the back projection parameters to obtain a reconstructed image.
In one embodiment, the target image parameters include projection parameters;
and reprocessing the initial image according to the target image parameters by an image reprocessing strategy corresponding to the imaging protocol group type to obtain a reconstructed image, wherein the method comprises the following steps:
and when the imaging protocol set type is U-View protocol set, carrying out maximum density projection on the initial image according to the projection parameters to obtain a reconstructed image.
A medical image processing apparatus comprising:
the image acquisition module is used for acquiring an initial image to be processed and an imaging protocol group type corresponding to the initial image;
the parameter acquisition module is used for acquiring target image parameters which are different from the current image parameters of the initial image;
and the image processing module is used for reprocessing the initial image through an image reprocessing strategy corresponding to the imaging protocol group type according to the target image parameter to obtain a reconstructed image.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method described above when the processor executes the computer program.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method described above.
The medical image processing method, the medical image processing device, the storage medium and the computer equipment acquire an initial image to be processed and an imaging protocol group type corresponding to the initial image; acquiring target image parameters which are different from the current image parameters of the initial image; and reprocessing the initial image through an image reprocessing strategy corresponding to the imaging protocol group type according to the target image parameters to obtain a reconstructed image. After the initial tomographic image is obtained, if the expected image effect is not met, the photographed initial image can be reprocessed according to the target image parameters to obtain a reconstructed image with better image effect, and when the image is applied to DBT, X-ray photographing is not required to be performed on a patient again, so that the additional radiation influence on the patient can be avoided.
Drawings
FIG. 1 is a flow chart of a method of medical image processing according to one embodiment;
FIG. 2 is a schematic flow chart of image reprocessing by FFDM in one embodiment;
FIG. 3 is a schematic flow chart of image reprocessing by using the FBP method in one embodiment;
FIG. 4 is a schematic diagram showing the structure of a medical image processing apparatus according to an embodiment;
FIG. 5 is a diagram illustrating an application example of the technical solution of the present application in one embodiment;
fig. 6 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The medical image processing method can be applied to image processing of various medical images. For convenience of explanation, in the embodiments of the present application, a breast tomographic image is taken as an example, and the technical solutions of the present application are explained, and it is understood that the technical solutions of the present application are not limited to the breast tomographic image only.
In one embodiment, as shown in fig. 1, a medical image processing method is provided, which is explained by taking an example that the method is applied to a processor that can perform medical image processing, and the method includes the steps of:
step S100, an initial image to be processed and an imaging protocol group type corresponding to the initial image are acquired.
The initial image refers to an image that needs to be reprocessed. Specifically, the initial image may be a breast tomographic image, and after a patient is subjected to Digital Breast Tomographic (DBT) imaging and a corresponding medical image is obtained, if a technician positioning operation error is found in the imaging process, or a doctor is not satisfied with a currently obtained medical image, the medical image needs to be reprocessed so that the image quality of the processed image meets or satisfies the doctor's expectations, and at this time, the medical image may be regarded as the initial image to be processed. The imaging protocol group type of the initial image can be obtained according to the image information of the initial image.
Step S200, acquiring a target image parameter, wherein the target image parameter is different from a current image parameter of the initial image.
The target image parameter refers to a parameter corresponding to an image (i.e., a target image) whose image quality meets or satisfies the doctor's expectation, and the current image parameter refers to a parameter corresponding to an image (i.e., an initial image) that needs to be reprocessed, and since the image quality of the initial image is different from that of the target image, the target image parameter of the target image is also different from the current image parameter of the initial image.
And step S300, reprocessing the initial image through an image reprocessing strategy corresponding to the imaging protocol group type according to the target image parameters to obtain a reconstructed image.
After acquiring an initial image to be processed, a corresponding imaging protocol group type and a target image parameter, the processor reprocesses the initial image according to the target image parameter through an image reprocessing strategy corresponding to the imaging protocol group type, so that a reconstructed image with image quality meeting or meeting the expected expectations of doctors is obtained.
After an initial tomographic image is obtained, if the expected image effect is not met, the photographed initial image can be reprocessed according to the target image parameters to obtain a reconstructed image with better image quality or effect, and when the method is applied to DBT, X-ray photographing is not needed to be performed on a patient again, so that extra radiation influence on the patient can be avoided.
In one embodiment, the initial image includes a two-dimensional image as well as a three-dimensional image.
The two-dimensional image is a planar image including a width and a height, and not including depth information, and the corresponding three-dimensional image is a stereoscopic image including a width, a height, and a depth at the same time. When a patient is subjected to Digital Breast Tomography (DBT), the corresponding imaging types are different due to the different imaging protocol sets, for example, the corresponding imaging types comprise two-dimensional images for the Mammo protocol set; for the Tomo protocol group, the corresponding imaging type comprises a two-dimensional image; for the Combo protocol group, the corresponding imaging type comprises a two-dimensional image and a three-dimensional image; for the U-View protocol suite, the corresponding imaging type includes a three-dimensional image.
In one embodiment, further comprising: the initial image is preprocessed. The pretreatment specifically comprises the following steps: and performing image segmentation processing on the initial image, and performing negative film operation and equipment error calibration on the segmented image. By preprocessing the initial image, extraneous information (e.g., artifacts, etc.) in the image can be eliminated, useful real information recovered, detectability of the relevant information enhanced and data simplified to a maximum extent, thereby improving reliability of feature extraction, matching, and recognition.
In one embodiment, when the imaging protocol set type is the Mammo protocol set, the image reconstruction processing is a reprocessing of the two-dimensional image, the corresponding image reprocessing strategy includes an FFDM (full-field digital mammography ) method, and when the image reprocessing is performed by the FFDM method, the target image parameters include: segmentation parameters, noise reduction parameters, and enhancement parameters.
As shown in fig. 2, when performing image reprocessing by using the FFDM method, the initial image is reprocessed according to the target image parameter by using an image reprocessing policy corresponding to the imaging protocol group type, so as to obtain a reconstructed image, which includes steps S312 to S316:
step S312, performing image segmentation processing on the initial image according to the segmentation parameters;
step S314, performing image noise reduction processing on the image after the image segmentation processing according to the noise reduction parameters;
step S316, carrying out image enhancement processing on the image after the image noise reduction processing according to the enhancement parameters to obtain a reconstructed image.
In one embodiment, when the imaging protocol set is a Tomo protocol set, the image reconstruction processing is three-dimensional reconstruction processing of a two-dimensional image, the corresponding image reprocessing strategy includes an FBP (filtered backprojection ) method, and the FBP algorithm is a spatial processing technology based on a fourier transform theory, and is characterized in that the projection under each collected projection angle is convolved before back projection, so that shape artifacts caused by a point spread function are improved, and the reconstructed image quality is better. When the image is reprocessed by the FBP method, the target image parameters comprise a filtering parameter, a filtering correction parameter, an artifact correction parameter and a back projection parameter.
As shown in fig. 3, when performing image reprocessing by using the FBP method, the initial image is reprocessed according to the target image parameter by using the image reprocessing policy corresponding to the imaging protocol group type, so as to obtain a reconstructed image, which includes steps S322 to S328:
step S322, carrying out filtering processing on the initial image according to the filtering parameters;
step S324, performing filtering correction processing on the filtered image according to the filtering correction parameters;
step S326, performing X-ray attenuation artifact correction processing on the image subjected to the filtering correction processing according to the artifact correction parameters;
step S328, performing back projection reconstruction on the image subjected to the X-ray attenuation artifact correction processing according to the back projection parameters to obtain a reconstructed image.
In one embodiment, when the imaging protocol set type is a Combo protocol set, the image reconstruction processing is a reprocessing of the two-dimensional image and the three-dimensional image, the corresponding image reprocessing strategies include an FFDM method and an FBP method, and when the image reprocessing is performed by the FFDM method and the FBP method, the target image parameters include a segmentation parameter, a noise reduction parameter, an enhancement intensity parameter, a filtering correction parameter, an artifact correction parameter and a back projection parameter;
when the FFDM method and the FBP method are adopted for image reprocessing, the initial image is reprocessed according to the target image parameters by an image reprocessing strategy corresponding to the imaging protocol group type, and a reconstructed image is obtained, wherein the method comprises the following steps: a first re-process is performed on a two-dimensional image in the initial image, and a second re-process is performed on a three-dimensional image in the initial image.
Specifically, the first reprocessing includes: performing image segmentation processing on the two-dimensional image according to the segmentation parameters; image denoising processing is carried out on the image after the image segmentation processing according to the denoising parameters; and carrying out image enhancement processing on the image subjected to the image noise reduction processing according to the enhancement parameters to obtain a reconstructed image.
A second reprocessing, comprising: according to the filtering parameters, carrying out filtering treatment on the three-dimensional image; performing filtering correction processing on the filtered image according to the filtering correction parameters; according to the artifact correction parameters, performing X-ray attenuation artifact correction on the image subjected to the filtering correction; and carrying out back projection reconstruction on the image subjected to the X-ray attenuation artifact correction according to the back projection parameters to obtain a reconstructed image.
In one embodiment, when the imaging protocol group type is U-View protocol group, the image reconstruction processing is the reprocessing of the three-dimensional image, the corresponding image reprocessing strategy includes a MIP (maximum intensity projection ) method, and when the image reprocessing is performed by the MIP method, the target image parameters include projection parameters; when the MIP method is adopted for image reprocessing, the initial image is reprocessed according to the target image parameters by an image reprocessing strategy corresponding to the imaging protocol group type, so as to obtain a reconstructed image, which comprises the following steps: and carrying out maximum density projection on the initial image according to the projection parameters to obtain a reconstructed image.
It will be appreciated that the corresponding reprocessing method is not limited to reconstructing the initial image of each protocol group type, and other types of reprocessing methods may be used in addition to the method provided in the present application.
It should be understood that, under reasonable conditions, although the steps in the flowcharts referred to in the foregoing embodiments are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, and the order of execution of the sub-steps or stages is not necessarily sequential, but may be performed in rotation or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
In one embodiment, as shown in fig. 4, there is provided a medical image processing apparatus including: an image acquisition module 100, a parameter acquisition module 200, and an image processing module 300.
The image acquisition module 100 is used for acquiring an initial image to be processed and an imaging protocol group type corresponding to the initial image;
the parameter obtaining module 200 is configured to obtain a target image parameter, where the target image parameter is different from a current image parameter of the initial image;
the image processing module 300 is configured to reprocess the initial image according to the target image parameter by using an image reprocessing policy corresponding to the imaging protocol group type, so as to obtain a reconstructed image.
In one embodiment, the initial image includes a two-dimensional image as well as a three-dimensional image.
In one embodiment, further comprising: the image preprocessing module is used for preprocessing an initial image, and specifically comprises the following steps: and performing image segmentation processing on the initial image, and performing negative film operation and equipment error calibration on the segmented image.
In one embodiment, the target image parameters include: segmentation parameters, noise reduction parameters and enhancement parameters; the image processing module is also used for: when the imaging protocol group type is a Mammo protocol group, performing image segmentation processing on the initial image according to the segmentation parameters; image denoising processing is carried out on the image after the image segmentation processing according to the denoising parameters; and carrying out image enhancement processing on the image subjected to the image noise reduction processing according to the enhancement parameters to obtain a reconstructed image.
In one embodiment, the target image parameters include filter parameters, filter correction parameters, artifact correction parameters, and back-projection parameters; the image processing module is also used for: when the imaging protocol group type is the Tomo protocol group, carrying out filtering processing on the initial image according to the filtering parameters; performing filtering correction processing on the filtered image according to the filtering correction parameters; according to the artifact correction parameters, performing X-ray attenuation artifact correction on the image subjected to the filtering correction; and carrying out back projection reconstruction on the image subjected to the X-ray attenuation artifact correction according to the back projection parameters to obtain a reconstructed image.
In one embodiment, the target image parameters include segmentation parameters, noise reduction parameters, enhancement intensity parameters, filtering correction parameters, artifact correction parameters, and back-projection parameters; the image processing module is also used for: when the imaging protocol group type is a Combo protocol group, performing first re-processing on the two-dimensional image in the initial image and performing second re-processing on the three-dimensional image in the initial image; a first reprocessing comprising: performing image segmentation processing on the two-dimensional image according to the segmentation parameters; image denoising processing is carried out on the image after the image segmentation processing according to the denoising parameters; performing image enhancement processing on the image subjected to the image noise reduction processing according to the enhancement parameters to obtain a reconstructed image; a second reprocessing, comprising: according to the filtering parameters, carrying out filtering treatment on the three-dimensional image; performing filtering correction processing on the filtered image according to the filtering correction parameters; according to the artifact correction parameters, performing X-ray attenuation artifact correction on the image subjected to the filtering correction; and carrying out back projection reconstruction on the image subjected to the X-ray attenuation artifact correction according to the back projection parameters to obtain a reconstructed image.
In one embodiment, the target image parameters include projection parameters; the image processing module is also used for: and when the imaging protocol set is U-View protocol set, carrying out maximum density projection on the initial image according to the projection parameters to obtain a reconstructed image.
For specific limitations of the medical image processing apparatus, reference may be made to the above limitations of the medical image processing method, and no further description is given here. The respective modules in the above-described medical image processing apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, as shown in fig. 5, an application example diagram of the present application is shown. The framework mainly comprises MarkChangeFE (image reprocessing UI), imagereprocessing back end, APR (database), examFE (inspection UI), examBE (inspection back end) and PipeLine (image processing module). The implementation process of the technical scheme mainly comprises the following steps:
(1) An image reprocessing UI (UI, user Interface) is started. When the image reprocessing is needed, a user can start the image reprocessing UI through the control end;
(2) And the communication back end acquires an algorithm. The image reprocessing UI is communicated with the image reprocessing back end, and an optional reconstruction algorithm is obtained. The communication content comprises a protocol group type for processing the image and a specific protocol type;
(3) And acquiring a corresponding algorithm template according to the protocol type. The image reprocessing rear end obtains a corresponding algorithm template according to the protocol type sent by the image reprocessing UI;
(4) The algorithm is obtained from the database. The image reprocessing rear end acquires an algorithm from the database according to the acquired algorithm template;
(5) And transmitted to the FE as protobuff and displayed. And the acquired algorithm is sent to the image reprocessing UI for display by the image reprocessing rear end. The information may be sent via a protobuff protocol;
(6) Transmitting the algorithm and protocol information to be processed. The image reprocessing UI displays the acquired algorithm, and after a user selects a proper processing algorithm according to the displayed algorithm, the image reprocessing UI sends the algorithm selected by the user to the image reprocessing rear end;
(7) Protocol and algorithm information is transmitted to the inspection backend in struct. The image reprocessing back end sends the algorithm selected by the user and the protocol information to the checking back end through the struct data format;
(8) And transmitting the protocol and algorithm information to be processed to the image processing module. The checking back end sends the received algorithm and protocol information to the image processing module;
(9) Notifying completion of the processing image. The image processing module reprocesses the initial image according to the received algorithm and protocol information, and sends the reconstructed image to the rear end of the inspection after the reprocessing is completed;
(10) And closing the UI and locking the screen. After the detection rear end receives the reconstructed image, the completion of the image reprocessing is indicated, and at the moment, an instruction for closing and locking a screen is output to an image reprocessing UI;
(11) And loading the processed image into the inspection UI. After the reconstructed image is received by the rear end of the inspection, the reconstructed image is sent to the inspection UI so that the user can inspect the reconstructed image.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of: acquiring an initial image to be processed and an imaging protocol group type corresponding to the initial image; acquiring target image parameters which are different from the current image parameters of the initial image; and reprocessing the initial image through an image reprocessing strategy corresponding to the imaging protocol group type according to the target image parameters to obtain a reconstructed image.
In one embodiment, the processor when executing the computer program further performs the steps of: preprocessing an initial image; the pretreatment specifically comprises the following steps: and performing image segmentation processing on the initial image, and performing negative film operation and equipment error calibration on the segmented image.
In one embodiment, the processor when executing the computer program further performs the steps of: when the imaging protocol group type is a Mammo protocol group, performing image segmentation processing on the initial image according to the segmentation parameters; image denoising processing is carried out on the image after the image segmentation processing according to the denoising parameters; and carrying out image enhancement processing on the image subjected to the image noise reduction processing according to the enhancement parameters to obtain a reconstructed image.
In one embodiment, the processor when executing the computer program further performs the steps of: when the imaging protocol group type is the Tomo protocol group, carrying out filtering processing on the initial image according to the filtering parameters; performing filtering correction processing on the filtered image according to the filtering correction parameters; according to the artifact correction parameters, performing X-ray attenuation artifact correction on the image subjected to the filtering correction; and carrying out back projection reconstruction on the image subjected to the X-ray attenuation artifact correction according to the back projection parameters to obtain a reconstructed image.
In one embodiment, the processor when executing the computer program further performs the steps of: when the imaging protocol group type is a Combo protocol group, performing first re-processing on the two-dimensional image in the initial image and performing second re-processing on the three-dimensional image in the initial image; a first reprocessing comprising: performing image segmentation processing on the two-dimensional image according to the segmentation parameters; image denoising processing is carried out on the image after the image segmentation processing according to the denoising parameters; performing image enhancement processing on the image subjected to the image noise reduction processing according to the enhancement parameters to obtain a reconstructed image; a second reprocessing, comprising: according to the filtering parameters, carrying out filtering treatment on the three-dimensional image; performing filtering correction processing on the filtered image according to the filtering correction parameters; according to the artifact correction parameters, performing X-ray attenuation artifact correction on the image subjected to the filtering correction; and carrying out back projection reconstruction on the image subjected to the X-ray attenuation artifact correction according to the back projection parameters to obtain a reconstructed image.
In one embodiment, the processor when executing the computer program further performs the steps of: and when the imaging protocol set is U-View protocol set, carrying out maximum density projection on the initial image according to the projection parameters to obtain a reconstructed image.
FIG. 6 illustrates an internal block diagram of a computer device in one embodiment. The computer device may in particular be a terminal (or a server). As shown in fig. 6, the computer device includes a processor, a memory, a network interface, an input device, and a display screen connected by a system bus. The memory includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system, and may also store a computer program that, when executed by a processor, causes the processor to implement a video rate control method and a video transcoding method. The internal memory may also store a computer program that, when executed by the processor, causes the processor to perform a video rate control method and a video transcoding method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 6 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of: acquiring an initial image to be processed and an imaging protocol group type corresponding to the initial image; acquiring target image parameters which are different from the current image parameters of the initial image; and reprocessing the initial image through an image reprocessing strategy corresponding to the imaging protocol group type according to the target image parameters to obtain a reconstructed image.
In one embodiment, the computer program when executed by the processor further performs the steps of: preprocessing an initial image; the pretreatment specifically comprises the following steps: and performing image segmentation processing on the initial image, and performing negative film operation and equipment error calibration on the segmented image.
In one embodiment, the computer program when executed by the processor further performs the steps of: when the imaging protocol group type is a Mammo protocol group, performing image segmentation processing on the initial image according to the segmentation parameters; image denoising processing is carried out on the image after the image segmentation processing according to the denoising parameters; and carrying out image enhancement processing on the image subjected to the image noise reduction processing according to the enhancement parameters to obtain a reconstructed image.
In one embodiment, the computer program when executed by the processor further performs the steps of: when the imaging protocol group type is the Tomo protocol group, carrying out filtering processing on the initial image according to the filtering parameters; performing filtering correction processing on the filtered image according to the filtering correction parameters; according to the artifact correction parameters, performing X-ray attenuation artifact correction on the image subjected to the filtering correction; and carrying out back projection reconstruction on the image subjected to the X-ray attenuation artifact correction according to the back projection parameters to obtain a reconstructed image.
In one embodiment, the computer program when executed by the processor further performs the steps of: when the imaging protocol group type is a Combo protocol group, performing first re-processing on the two-dimensional image in the initial image and performing second re-processing on the three-dimensional image in the initial image; a first reprocessing comprising: performing image segmentation processing on the two-dimensional image according to the segmentation parameters; image denoising processing is carried out on the image after the image segmentation processing according to the denoising parameters; performing image enhancement processing on the image subjected to the image noise reduction processing according to the enhancement parameters to obtain a reconstructed image; a second reprocessing, comprising: according to the filtering parameters, carrying out filtering treatment on the three-dimensional image; performing filtering correction processing on the filtered image according to the filtering correction parameters; according to the artifact correction parameters, performing X-ray attenuation artifact correction on the image subjected to the filtering correction; and carrying out back projection reconstruction on the image subjected to the X-ray attenuation artifact correction according to the back projection parameters to obtain a reconstructed image.
In one embodiment, the computer program when executed by the processor further performs the steps of: and when the imaging protocol set is U-View protocol set, carrying out maximum density projection on the initial image according to the projection parameters to obtain a reconstructed image.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of a computer program, which may be stored on a non-transitory computer readable storage medium and which, when executed, may comprise the steps of the above-described embodiments of the methods. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the invention, which are described in detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (10)
1. A medical image processing method, comprising:
acquiring an initial image to be processed and an imaging protocol group type corresponding to the initial image; the imaging protocol group type comprises at least one of a Mammo protocol group, a Tomo protocol group, a Combo protocol group and a U-View protocol group;
acquiring target image parameters, wherein the target image parameters are different from the current image parameters of the initial image;
and reprocessing the initial image according to the target image parameters by an image reprocessing strategy corresponding to the imaging protocol group type to obtain a reconstructed image.
2. The method of claim 1, wherein the initial image comprises a two-dimensional image and a three-dimensional image.
3. The method as recited in claim 1, further comprising: preprocessing the initial image;
the pretreatment specifically comprises the following steps: and carrying out image segmentation processing on the initial image, and carrying out negative film operation and equipment error calibration on the segmented image.
4. The method of claim 1, wherein the target image parameters comprise: segmentation parameters, noise reduction parameters and enhancement parameters;
and reprocessing the initial image according to the target image parameters by an image reprocessing strategy corresponding to the imaging protocol group type to obtain a reconstructed image, wherein the method comprises the following steps:
when the imaging protocol group type is a Mammo protocol group, image segmentation processing is carried out on the initial image according to the segmentation parameters;
according to the noise reduction parameters, performing image noise reduction on the image after the image segmentation processing;
and carrying out image enhancement processing on the image subjected to the image noise reduction processing according to the enhancement parameters to obtain a reconstructed image.
5. The method of claim 1, wherein the target image parameters include filter parameters, filter correction parameters, artifact correction parameters, and back-projection parameters;
and reprocessing the initial image according to the target image parameters by an image reprocessing strategy corresponding to the imaging protocol group type to obtain a reconstructed image, wherein the method comprises the following steps:
when the imaging protocol group type is the Tomo protocol group, carrying out filtering processing on the initial image according to the filtering parameters;
according to the filtering correction parameters, filtering correction processing is carried out on the filtered image;
according to the artifact correction parameters, performing X-ray attenuation artifact correction on the image subjected to the filtering correction;
and carrying out back projection reconstruction on the image subjected to the X-ray attenuation artifact correction according to the back projection parameters to obtain a reconstructed image.
6. The method of claim 1, wherein the target image parameters include segmentation parameters, noise reduction parameters, enhancement parameters, filtering correction parameters, artifact correction parameters, and back-projection parameters;
and reprocessing the initial image according to the target image parameters by an image reprocessing strategy corresponding to the imaging protocol group type to obtain a reconstructed image, wherein the method comprises the following steps:
when the imaging protocol group type is the Combo protocol group, performing first re-processing on the two-dimensional image in the initial image, and performing second re-processing on the three-dimensional image in the initial image;
the first reprocessing includes:
performing image segmentation processing on the two-dimensional image according to the segmentation parameters;
according to the noise reduction parameters, performing image noise reduction on the image after the image segmentation processing;
performing image enhancement processing on the image subjected to the image noise reduction processing according to the enhancement parameters to obtain a reconstructed image;
the second reprocessing includes:
according to the filtering parameters, filtering the three-dimensional image;
according to the filtering correction parameters, filtering correction processing is carried out on the filtered image;
according to the artifact correction parameters, performing X-ray attenuation artifact correction on the image subjected to the filtering correction;
and carrying out back projection reconstruction on the image subjected to the X-ray attenuation artifact correction according to the back projection parameters to obtain a reconstructed image.
7. The method of claim 1, wherein the target image parameters include projection parameters;
and reprocessing the initial image according to the target image parameters by an image reprocessing strategy corresponding to the imaging protocol group type to obtain a reconstructed image, wherein the method comprises the following steps:
and when the imaging protocol set type is the U-View protocol set, carrying out maximum density projection on the initial image according to the projection parameters to obtain a reconstructed image.
8. A medical image processing apparatus, comprising:
the image acquisition module is used for acquiring an initial image to be processed and an imaging protocol group type corresponding to the initial image; the imaging protocol group type comprises at least one of a Mammo protocol group, a Tomo protocol group, a Combo protocol group and a U-View protocol group;
the parameter acquisition module is used for acquiring target image parameters which are different from the current image parameters of the initial image;
and the image processing module is used for reprocessing the initial image through an image reprocessing strategy corresponding to the imaging protocol group type according to the target image parameter to obtain a reconstructed image.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. 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 steps of the method of any of claims 1 to 7.
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