CN114820419A - Method and device for determining scanning parameters, computer equipment and storage medium - Google Patents

Method and device for determining scanning parameters, computer equipment and storage medium Download PDF

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Publication number
CN114820419A
CN114820419A CN202110129742.4A CN202110129742A CN114820419A CN 114820419 A CN114820419 A CN 114820419A CN 202110129742 A CN202110129742 A CN 202110129742A CN 114820419 A CN114820419 A CN 114820419A
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positioning
image
spine
images
information corresponding
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王策
贾洁
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Shanghai United Imaging Healthcare Co Ltd
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Shanghai United Imaging Healthcare Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves  involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
    • 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]
    • 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
    • A61B6/037—Emission tomography
    • 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
    • A61B6/50—Clinical applications
    • A61B6/505—Clinical applications involving diagnosis of bone
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformation in the plane of the image
    • G06T3/40—Scaling the whole image or part thereof
    • G06T3/4038—Scaling the whole image or part thereof for image mosaicing, i.e. plane images composed of plane sub-images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G06T2200/32—Indexing scheme for image data processing or generation, in general involving image mosaicing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10081—Computed x-ray tomography [CT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10116—X-ray image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30008—Bone
    • G06T2207/30012—Spine; Backbone

Abstract

The application relates to a method and a device for determining scanning parameters, a computer device and a storage medium. The method comprises the following steps: acquiring a plurality of positioning images; carrying out spine structure identification on the plurality of positioning images to obtain spine structure information corresponding to each positioning image; determining target scanning parameters according to the spine structure information corresponding to each positioning image; wherein the target scan parameters include intervertebral disc scan parameters and spine scan parameters. By adopting the method, the determination efficiency of the scanning parameters can be improved.

Description

Method and device for determining scanning parameters, computer equipment and storage medium
Technical Field
The present application relates to the field of medical scanning technologies, and in particular, to a method and an apparatus for determining a scanning parameter, a computer device, and a storage medium.
Background
With the development of medical imaging technology, the role of medical imaging in clinical diagnosis is becoming more and more important. At present, a medical imaging device is usually adopted to scan a detection object to obtain a positioning image, then a doctor determines a scanning parameter according to the positioning image, and then the medical imaging device scans the detection object by using the scanning parameter determined by the doctor to obtain a medical image.
In the related art, the positioning image obtained by a single scan has a small visual field, and cannot cover the part to be scanned, for example, the whole spine, and at this time, the positioning images of different parts of the spine need to be obtained by multiple scans, and a doctor can determine the scanning parameters according to the multiple positioning images.
However, since there are many scout images, the operation of determining the scan parameters by the doctor becomes more complicated, and thus the efficiency of determining the scan parameters is low.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a computer device and a storage medium for determining scan parameters, which can improve the determination efficiency of scan parameters.
A method of determining scan parameters, the method comprising:
acquiring a plurality of positioning images;
carrying out spine structure identification on the positioning images to obtain spine structure information corresponding to each positioning image;
determining target scanning parameters according to the spine structure information corresponding to each positioning image;
wherein the target scanning parameters comprise intervertebral disc scanning parameters and spine scanning parameters.
In one embodiment, the performing spine structure identification on the multiple positioning images to obtain spine structure information corresponding to each positioning image includes:
inputting the plurality of positioning images into a pre-trained structure recognition model according to a preset sequence to obtain recognition results corresponding to the positioning images output by the structure recognition model; the identification result comprises a serial number and/or a morphological mask corresponding to each intervertebral disc.
In one embodiment, the determining the target scanning parameters according to the spine structure information corresponding to each of the positioning images includes:
calculating the serial number and/or the morphological mask corresponding to each positioning image by using a principal component analysis algorithm to obtain the plane of each intervertebral disc in each positioning image;
and determining intervertebral disc scanning parameters according to the plane of each intervertebral disc in each positioning image.
In one embodiment, the determining the target scanning parameter according to the spine structure information corresponding to each positioning image further includes:
and calculating according to the serial number and/or the morphological mask corresponding to the intervertebral disc in each positioning image to obtain spinal column scanning parameters of at least part of the spinal column.
In one embodiment, the method further comprises:
splicing the positioning images to obtain a spliced image;
mapping the spine structure information corresponding to each positioning image to the spliced images to obtain the spine structure information corresponding to the spliced images;
and displaying the spine structure information corresponding to the spliced image.
In one embodiment, the method further comprises:
and optimizing the target scanning parameters according to the mapping result to obtain optimized scanning parameters.
An apparatus for determining scan parameters, the apparatus comprising:
the image acquisition module is used for acquiring a plurality of positioning images;
the structure identification module is used for carrying out spine structure identification on the positioning images to obtain spine structure information corresponding to each positioning image;
the parameter determining module is used for determining target scanning parameters according to the spine structure information corresponding to each positioning image;
wherein the target scanning parameters comprise intervertebral disc scanning parameters and spine scanning parameters.
In one embodiment, the structure recognition module is specifically configured to input the multiple positioning images into a pre-trained structure recognition model according to a preset sequence, so as to obtain a recognition result corresponding to each positioning image output by the structure recognition model; the identification result comprises a serial number and/or a morphological mask corresponding to each intervertebral disc.
In one embodiment, the parameter determining module includes:
the plane determination submodule is used for calculating the serial number and/or the morphological mask corresponding to each positioning image by utilizing a principal component analysis algorithm to obtain the plane where each intervertebral disc in each positioning image is located;
and the parameter determination submodule is used for determining intervertebral disc scanning parameters according to the plane of each intervertebral disc in each positioning image.
In one embodiment, the parameter determining module is further configured to perform calculation according to serial numbers and/or morphological masks corresponding to intervertebral discs in the multiple positioning images to obtain spinal scanning parameters of at least a portion of a spinal column.
In one embodiment, the apparatus further comprises:
the splicing module is used for splicing the positioning images to obtain spliced images;
the mapping module is used for mapping the spine structure information corresponding to each positioning image to the spliced image to obtain the spine structure information corresponding to the spliced image;
and the display module is used for displaying the spine structure information corresponding to the spliced image.
In one embodiment, the apparatus further comprises:
and the parameter optimization module is used for optimizing the target scanning parameters according to the mapping result to obtain the optimized scanning parameters.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring a plurality of positioning images;
carrying out spine structure identification on the positioning images to obtain spine structure information corresponding to each positioning image;
determining target scanning parameters according to the spine structure information corresponding to each positioning image;
wherein the target scanning parameters comprise intervertebral disc scanning parameters and spine scanning parameters.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring a plurality of positioning images;
carrying out spine structure identification on the positioning images to obtain spine structure information corresponding to each positioning image;
determining target scanning parameters according to the spine structure information corresponding to each positioning image;
wherein the target scanning parameters comprise intervertebral disc scanning parameters and spine scanning parameters.
The method, the device, the computer equipment and the storage medium for determining the scanning parameters acquire a plurality of positioning images; carrying out spine structure identification on the positioning images to obtain spine structure information corresponding to each positioning image; and determining target scanning parameters according to the spine structure information corresponding to each positioning image. In the embodiment of the disclosure, the terminal can automatically identify the spine structure information according to the plurality of positioning images, and automatically determine the target scanning parameters according to the spine structure information. Compared with the prior art, the embodiment of the disclosure does not depend on manual work, so that the determination efficiency of the scanning parameters can be improved.
Drawings
FIG. 1 is a diagram of an exemplary embodiment of a method for determining scan parameters;
FIG. 2 is a flow diagram illustrating a method for determining scan parameters in one embodiment;
FIG. 3 is a diagram of a structure recognition model in one embodiment;
FIG. 4 is a schematic representation of spinal column structural information in one embodiment;
FIG. 5 is a flowchart illustrating the step of determining target scan parameters in one embodiment;
FIG. 6 is a diagram illustrating target scan parameters in one embodiment;
FIG. 7 is a flowchart illustrating the steps of stitching positioning images and mapping spine structure information according to one embodiment;
FIG. 8 is a block diagram of an apparatus for determining scan parameters in one embodiment;
FIG. 9 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.
The method for determining the scanning parameters provided by the application can be applied to the application environment shown in fig. 1. The application environment includes a terminal 102 and a scanning device 104. Wherein the terminal 102 communicates with the scanning device 104 via a network. The terminal 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, and tablet computers, and the scanning device 104 may be, but is not limited to, a CT (Computed Tomography) device, an MR (Magnetic Resonance) device, a PET (Positron Emission Tomography) device, and an X-Ray (X-Ray) device.
In an embodiment, as shown in fig. 2, a method for determining a scan parameter is provided, which is described by taking the application of the method to the terminal in fig. 1 as an example, and includes the following steps:
in step 201, a plurality of positioning images are obtained.
Wherein the different positioning images comprise different parts of the spine. For example, the plurality of positioning images includes a cervical positioning image, a thoracic positioning image, and a lumbar positioning image.
The terminal can obtain a plurality of positioning images of the scanning object from the scanning equipment after the scanning equipment performs positioning scanning on the scanning object; a plurality of positioning images of the scanning object can also be acquired from the HIS (hospital information system); a plurality of positioning images of the scanning object can also be acquired from a preset image database. The embodiments of the present disclosure do not limit this.
Step 202, performing spine structure identification on the plurality of positioning images to obtain spine structure information corresponding to each positioning image.
The spine structure information comprises serial numbers and/or morphological masks corresponding to the intervertebral discs in the spine.
After the terminal acquires the plurality of positioning images, spine structure identification is carried out on each positioning image, and the serial number and/or the morphological mask corresponding to each intervertebral disc in the spine are/is obtained. The identification mode can adopt a template matching identification mode: presetting a spine template image; then, continuously cutting out a local image on the positioning image, and comparing the local image with the spine template image; and if the partial image is matched with the spine template image, determining that the partial image contains the spine. The most common matching methods include a square error matching method, a correlation coefficient matching method, and the like. The recognition mode of a deep learning model or a neural network model can also be adopted, and the embodiment of the disclosure does not limit the recognition mode.
Step 203, determining target scanning parameters according to the spine structure information corresponding to each positioning image
Wherein the target scanning parameters comprise intervertebral disc scanning parameters and spine scanning parameters.
And after the terminal obtains the serial numbers and the morphological masks of the intervertebral discs in each positioning image, determining the scanning direction and the scanning angle when the spine is scanned according to the serial numbers and the morphological masks of the intervertebral discs in the positioning images.
It can be understood that the multiple scout images can obtain the information required for scanning more accurately than a single scout image.
For example, when calculating thoracic vertebrae scanning parameters, the serial number of the intervertebral disc cannot be accurately given by only relying on the thoracic vertebrae positioning image, especially in the MR image without bony structures. However, if more cervical vertebrae positioning images are obtained, due to the unique shape of the initial cervical vertebrae, the serial number of each intervertebral disc can be automatically and accurately output according to the cervical vertebrae positioning images and the thoracic vertebrae positioning images.
For another example, when a spine location item scan is performed, since an anatomical structure inside a human body cannot be observed before the scan, a target region to be acquired may not be scanned, and a situation that a key anatomical region is lacking in the location item may occur, resulting in an inaccurate determined target scan parameter. And the use of a plurality of positioning images has wider anatomical range and can calculate the scanning parameters from the whole situation, so that the robustness and the accuracy of the target scanning parameters can be improved.
In the method for determining the scanning parameters, a plurality of positioning images are obtained; carrying out spine structure identification on the positioning images to obtain spine structure information corresponding to each positioning image; and determining target scanning parameters according to the spine structure information corresponding to each positioning image. In the embodiment of the disclosure, the terminal can automatically identify the spine structure information according to the plurality of positioning images, and automatically determine the target scanning parameters according to the spine structure information. Compared with the prior art, the embodiment of the disclosure does not depend on manual work, so that the determination efficiency of the scanning parameters can be improved.
In an embodiment, the step of performing spine structure identification on the plurality of positioning images to obtain spine structure information corresponding to each positioning image may include: and inputting the plurality of positioning images into a pre-trained structure recognition model according to a preset sequence to obtain a recognition result corresponding to each positioning image output by the structure recognition model. Wherein, the identification result comprises the serial number and/or the morphological mask corresponding to each intervertebral disc.
In practical applications, the structure recognition model may be a neural network model, as shown in fig. 3, Down represents convolution and Down-sampling, Up represents convolution and Up-sampling, Conv represents convolution, channel represents the number of channels, and the number in the box represents the number of convolution kernels used. The structure recognition model may also adopt other structures, which are not limited in the embodiments of the present disclosure.
The number of input channels of the structure recognition model is the number of positioning images, and the number of output channels is the product of the number of positioning images and the number of intervertebral discs. For example, if the number of the scout images is 3 and the number of the intervertebral discs is 23, the number of the output channels is 3 × 23 — 69.
The terminal inputs the cervical vertebra positioning image, the thoracic vertebra positioning image and the lumbar vertebra positioning image into the structure recognition model from head to foot or from foot to head; the structure recognition model carries out segmentation recognition on each positioning image to obtain the contour or the space form of each intervertebral disc in each positioning image. And then, the structure identification model numbers the identified intervertebral discs according to the outlines or space forms of the intervertebral discs in each positioning image. The structure recognition model then outputs the serial number and morphology mask for each disc in each scout image. As shown in FIG. 4, C3/C4 and T5/T6 are the serial numbers of the intervertebral discs, the oval shapes are the intervertebral discs, and the horizontal lines are the planes of the intervertebral discs, i.e. the morphological masks of the intervertebral discs.
In one embodiment, the plurality of positioning images may be input into the pre-trained structure recognition model according to a preset sequence, so as to obtain the target scanning parameters output by the structure recognition model.
And identifying the intervertebral disc by using a pre-trained neural network model to obtain the spinal structure information. Compared with a template matching identification mode, the neural network model has higher identification efficiency and higher accuracy.
In an embodiment, as shown in fig. 5, the step of determining the target scanning parameters according to the spine structure information corresponding to each of the positioning images may include:
and step 301, calculating the serial number and/or the morphological mask corresponding to each positioning image by using a principal component analysis algorithm to obtain a plane where each intervertebral disc in each positioning image is located.
And after the terminal obtains the serial number and the morphological mask of each intervertebral disc in each positioning image, performing principal component analysis according to the morphological mask of the intervertebral disc to determine the plane of each intervertebral disc in each positioning image.
The Principal Component Analysis (PCA) is a statistical method that converts a group of variables that may have correlation into a group of linearly uncorrelated variables by orthogonal transformation, and the group of converted variables is called Principal components.
In addition to using the principal component analysis algorithm, other methods may be used, such as, for example, a planar fit may be directly performed on the morphological mask to obtain the plane of each intervertebral disc in each of the localized images.
Step 302, determining intervertebral disc scanning parameters according to the plane of each intervertebral disc in each positioning image.
The target scanning parameters comprise intervertebral disc scanning parameters and spine scanning parameters, and the intervertebral disc scanning parameters correspond to the transverse position scanning direction of the spine; the spine scanning parameters correspond to the coronal scanning direction and the sagittal scanning direction of the spine.
And after the terminal acquires the plane where each intervertebral disc is located in each positioning image, calculating and determining intervertebral disc scanning parameters according to the planes where the intervertebral discs are located.
In the step of determining the target scanning parameters according to the spine structure information corresponding to each positioning image, the terminal calculates the serial number and/or the form mask corresponding to each positioning image by using a principal component analysis algorithm to obtain the plane of each intervertebral disc in each positioning image; and determining intervertebral disc scanning parameters according to the plane of each intervertebral disc in the plurality of positioning images. In the embodiment of the disclosure, the terminal can automatically determine the intervertebral disc scanning parameters according to the serial number and/or the morphological mask of the intervertebral disc, and compared with the prior art, the determination efficiency of the scanning parameters can be improved.
In an embodiment, the step of determining the target scanning parameter according to the spine structure information corresponding to each of the positioning images may further include: and calculating according to the serial numbers and/or the morphological masks corresponding to the intervertebral discs in the positioning images to obtain spinal column scanning parameters of at least part of the spinal column.
The terminal can determine whether the target scanning parameters to be output are of the cervical vertebra part, the thoracic vertebra part or the lumbar vertebra part according to the parameter output type selected by the user. And then, the terminal performs fitting calculation on planes of a plurality of intervertebral discs from the ith identification image to the jth identification image to obtain spine scanning parameters of a cervical vertebra part, spine scanning parameters of a thoracic vertebra part or spine scanning parameters of a lumbar vertebra part. Wherein i, j are natural numbers.
The fitting calculation may adopt a least square method for fitting, for example, when spine sagittal scan is performed, a leading edge point, a central point, and a trailing edge point in a morphological mask of the intervertebral disc are selected, then a least square method is used to perform plane fitting on the selected points, and the fitted plane is used as a scan plane when spine sagittal scan is performed, so that spine scan parameters are obtained. During scanning of the coronal position of the spinal column, left edge points, central points and right edge points in a shape mask of the intervertebral disc are selected, then a least square method is used for carrying out plane fitting on the selected points, and the fitted plane is used as a scanning plane during scanning of the coronal position of the spinal column, so that spinal column scanning parameters are obtained. The fitting manner is not limited in the embodiments of the present disclosure.
In the step of determining the target scanning parameters according to the spine structure information corresponding to each positioning image, the spine scanning parameters of at least part of the spine are obtained by calculating according to the serial numbers and/or the morphological masks corresponding to the intervertebral discs in the plurality of positioning images. In the embodiment of the disclosure, the terminal can automatically determine the spinal scanning parameters according to the serial number and/or the morphological mask of the intervertebral disc, and compared with the prior art, the determination efficiency of the scanning parameters can be improved.
In an embodiment, as shown in fig. 7, on the basis of the above embodiment, the following steps may be further performed:
step 401, stitching the plurality of positioning images to obtain a stitched image.
For example, the cervical vertebra positioning image, the thoracic vertebra positioning image, and the lumbar vertebra positioning image are stitched in order from top to bottom to obtain a stitched image. The stitched image contains the spine for a larger scan field of view, including for example the entire spine.
Step 402, mapping the spine structure information corresponding to each positioning image to the stitched image to obtain the spine structure information corresponding to the stitched image.
And the terminal identifies the spine structure in each positioning image, obtains the serial number and the morphological mask of each intervertebral disc, and maps the serial number and the morphological mask of each intervertebral disc into the spliced image. For example, the serial number and the morphological mask of each intervertebral disc are mapped to obtain a stitched image, and the serial number and the morphological mask of each intervertebral disc in the whole spine are obtained.
And step 403, displaying spine structure information corresponding to the spliced image.
And after the terminal performs mapping processing, displaying the spliced image, and displaying the serial number and the morphological mask of each intervertebral disc in the spliced image.
In one embodiment, after mapping the spine structure information corresponding to each of the positioning images into the stitched image, the method may further include: and optimizing the target scanning parameters according to the mapping result to obtain optimized scanning parameters.
In practical application, when splicing cervical vertebra positioning image and thoracic vertebra positioning image, or splicing thoracic vertebra positioning image and lumbar vertebra positioning image, the problem of splicing may occur, and then the problem of spine structure information mapping occurs. At this time, the shape mask of a part of intervertebral discs needs to be finely adjusted according to the mapping result, and then fitting calculation is performed again according to the shape mask after intervertebral disc adjustment to obtain optimized scanning parameters.
In the above embodiment, the terminal splices the plurality of positioning images to obtain a spliced image; mapping the spine structure information corresponding to each positioning image to the spliced images to obtain the spine structure information corresponding to the spliced images; and displaying the spine structure information corresponding to the spliced image. In the embodiment of the disclosure, the positioning images are spliced, and the spine structure information is mapped to the spliced images, so that the scanning operator can more intuitively know the spine condition under a larger scanning visual field. Furthermore, the scanning parameters are optimized according to the mapping result, so that the scanning parameters are more accurate, and the accuracy of the scanning result is improved.
It should be understood that although the various steps in the flowcharts of fig. 2-7 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-7 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 8, there is provided a scan parameter determining apparatus, including:
an image obtaining module 501, configured to obtain a plurality of positioning images;
a structure identification module 502, configured to perform spine structure identification on the multiple positioning images to obtain spine structure information corresponding to each positioning image;
a parameter determining module 503, configured to determine a target scanning parameter according to spine structure information corresponding to each positioning image;
wherein the target scanning parameters comprise intervertebral disc scanning parameters and spine scanning parameters.
In one embodiment, the structure recognition module 502 is specifically configured to input a plurality of positioning images into a pre-trained structure recognition model according to a preset sequence, so as to obtain a recognition result corresponding to each positioning image output by the structure recognition model; the identification result comprises a serial number and/or a morphological mask corresponding to each intervertebral disc.
In one embodiment, the parameter determining module 503 includes:
the plane determination submodule is used for calculating the serial number and/or the morphological mask corresponding to each positioning image by utilizing a principal component analysis algorithm to obtain the plane where each intervertebral disc in each positioning image is located;
and the parameter determination submodule is used for determining intervertebral disc scanning parameters according to the plane of each intervertebral disc in each positioning image.
In one embodiment, the parameter determining module is further configured to perform calculation according to serial numbers and/or morphological masks corresponding to intervertebral discs in the multiple positioning images to obtain spinal scanning parameters of at least a portion of a spinal column.
In one embodiment, the apparatus further comprises:
the splicing module is used for splicing the positioning images to obtain spliced images;
the mapping module is used for mapping the spine structure information corresponding to each positioning image to the spliced image to obtain the spine structure information corresponding to the spliced image;
and the display module is used for displaying the spine structure information corresponding to the spliced image.
In one embodiment, the apparatus further comprises:
and the parameter optimization module is used for optimizing the target scanning parameters according to the mapping result to obtain the optimized scanning parameters.
For specific definition of the scan parameter determination device, reference may be made to the above definition of the scan parameter determination method, and details are not described here. The modules in the device for determining the scan parameter may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 9. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of determining scan parameters. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 9 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring a plurality of positioning images;
carrying out spine structure identification on the positioning images to obtain spine structure information corresponding to each positioning image;
determining target scanning parameters according to the spine structure information corresponding to each positioning image;
wherein the target scanning parameters comprise intervertebral disc scanning parameters and spine scanning parameters.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
inputting the plurality of positioning images into a pre-trained structure recognition model according to a preset sequence to obtain recognition results corresponding to the positioning images output by the structure recognition model; the identification result comprises a serial number and/or a morphological mask corresponding to each intervertebral disc.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
calculating the serial number and/or the morphological mask corresponding to each positioning image by using a principal component analysis algorithm to obtain the plane of each intervertebral disc in each positioning image;
and determining intervertebral disc scanning parameters according to the plane of each intervertebral disc in each positioning image.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and calculating according to the serial numbers and/or morphological masks corresponding to the intervertebral discs in the multiple positioning images to obtain spinal column scanning parameters of at least part of the spinal column.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
splicing the positioning images to obtain a spliced image;
mapping the spine structure information corresponding to each positioning image to the spliced images to obtain the spine structure information corresponding to the spliced images;
and displaying spine structure information corresponding to the spliced image.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and optimizing the target scanning parameters according to the mapping result to obtain optimized scanning parameters.
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 a plurality of positioning images;
carrying out spine structure identification on the positioning images to obtain spine structure information corresponding to each positioning image;
determining target scanning parameters according to the spine structure information corresponding to each positioning image;
wherein the target scanning parameters comprise intervertebral disc scanning parameters and spine scanning parameters.
In one embodiment, the computer program when executed by the processor further performs the steps of:
inputting the plurality of positioning images into a pre-trained structure recognition model according to a preset sequence to obtain recognition results corresponding to the positioning images output by the structure recognition model; the identification result comprises a serial number and/or a morphological mask corresponding to each intervertebral disc.
In one embodiment, the computer program when executed by the processor further performs the steps of:
calculating the shape mask serial number and/or the shape mask serial number corresponding to each positioning image by using a principal component analysis algorithm to obtain the plane of each intervertebral disc in each positioning image;
and determining spinal scanning parameters according to the plane of each intervertebral disc in each positioning image.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and calculating according to the serial numbers and/or the morphological masks corresponding to the intervertebral discs in the positioning images to obtain spinal column scanning parameters of at least part of the spinal column.
In one embodiment, the computer program when executed by the processor further performs the steps of:
splicing the positioning images to obtain a spliced image;
mapping the spine structure information corresponding to each positioning image to the spliced images to obtain the spine structure information corresponding to the spliced images;
and displaying the spine structure information corresponding to the spliced image.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and optimizing the target scanning parameters according to the mapping result to obtain optimized scanning parameters.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware instructions of a computer program, which may be stored in a non-volatile computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A method for determining scan parameters, the method comprising:
acquiring a plurality of positioning images;
carrying out spine structure identification on the positioning images to obtain spine structure information corresponding to each positioning image;
determining target scanning parameters according to the spine structure information corresponding to each positioning image;
wherein the target scan parameters include intervertebral disc scan parameters and spine scan parameters.
2. The method according to claim 1, wherein the performing spine structure identification on the plurality of positioning images to obtain spine structure information corresponding to each positioning image comprises:
inputting the positioning images into a pre-trained structure recognition model according to a preset sequence to obtain recognition results corresponding to the positioning images output by the structure recognition model; the identification result comprises a serial number and/or a morphological mask corresponding to each intervertebral disc.
3. The method of claim 2, wherein determining target scan parameters according to spine structure information corresponding to each of the scout images comprises:
calculating the serial number and/or the morphological mask corresponding to the intervertebral disc in each positioning image by using a principal component analysis algorithm to obtain a plane where each intervertebral disc in each positioning image is located;
and determining the intervertebral disc scanning parameters according to the plane of each intervertebral disc in each positioning image.
4. The method of claim 2, wherein determining target scan parameters according to spine structure information corresponding to each of the scout images further comprises:
and calculating according to the serial numbers and/or the morphological masks corresponding to the intervertebral discs in the positioning images to obtain spinal column scanning parameters of at least part of the spinal column.
5. The method of claim 1, further comprising:
splicing the positioning images to obtain a spliced image;
mapping the spine structure information corresponding to each positioning image to the spliced image to obtain the spine structure information corresponding to the spliced image;
and displaying the spine structure information corresponding to the spliced image.
6. The method of claim 5, further comprising:
and optimizing the target scanning parameters according to the mapping result to obtain optimized scanning parameters.
7. An apparatus for determining scan parameters, the apparatus comprising:
the image acquisition module is used for acquiring a plurality of positioning images;
the structure identification module is used for carrying out spine structure identification on the positioning images to obtain spine structure information corresponding to each positioning image;
the parameter determining module is used for determining target scanning parameters according to the spine structure information corresponding to each positioning image;
wherein the target scan parameters include intervertebral disc scan parameters and spine scan parameters.
8. The apparatus according to claim 7, wherein the structure recognition module is specifically configured to input the plurality of positioning images into a pre-trained structure recognition model according to a preset sequence, so as to obtain a recognition result corresponding to each positioning image output by the structure recognition model; the identification result comprises a serial number and/or a morphological mask corresponding to each intervertebral disc.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
CN202110129742.4A 2021-01-29 2021-01-29 Method and device for determining scanning parameters, computer equipment and storage medium Pending CN114820419A (en)

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