Image processing method and device based on CT image sarcopenia assessment
A CT image and image processing technology, applied in the field of image processing, can solve problems such as the inability to automatically evaluate the level of sarcopenia, and achieve the purpose and advantages of concise and easy-to-understand effect
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Embodiment 1
[0037] The embodiment of the present application provides an image processing method based on CT image sarcopenia assessment, refer to figure 1 , the method includes the following steps S101 to S104:
[0038] Step S101 , performing vertebral body segmentation on the lumbar CT image to obtain a 3D spine image, wherein the spine 3D image includes multiple vertebral body instances.
[0039] In this step, the target waist CT plain scan image is obtained, and the target waist CT plain scan image is preprocessed to obtain the waist CT image, wherein the preprocessing includes:
[0040] The HU value image of the bone window was intercepted and normalized between 0 and 1, and the noise interference was reduced by Gaussian blur, and the pre-processed image of waist CT was obtained.
[0041] The acquired lumbar CT image includes the spine, and the spine is segmented to obtain a 3D image of the spine. In this solution, the generalized Unet segmentation network can be used to predict the ...
Embodiment 2
[0065] Based on the same idea, refer to Image 6 , the application also proposes an image processing device based on CT image sarcopenia assessment, including:
[0066] The vertebral body instance segmentation module 501 is used to perform vertebral body segmentation on the lumbar CT image to obtain a spine 3D image, wherein the spine 3D image includes multiple vertebral body instances;
[0067] The key point detection module 502 is used to intercept the mid-sagittal plane of the spine 3D image, obtain the spine 2D image, input the spine 2D image into the key point detection model, and obtain the vertebral body coordinates and vertebral body coordinates of each vertebral body instance. body number;
[0068] The cross-sectional image acquisition module 503 is used to match the vertebral body coordinates and the vertebral body number to the vertebral body instance in the spine 3D image, and image the two-dimensional median transverse position of the vertebral body instance with...
Embodiment 3
[0072] This embodiment also provides an electronic device, refer to Figure 7 , comprising a memory 604 and a processor 602, where a computer program is stored in the memory 604, and the processor 602 is configured to run the computer program to perform the steps in any of the above method embodiments.
[0073]Specifically, the above-mentioned processor 602 may include a central processing unit (CPU), or a specific integrated circuit (Application Specific Integrated Circuit, ASIC for short), or may be configured as one or more integrated circuits implementing the embodiments of the present application.
[0074] Among others, memory 604 may include mass storage 604 for data or instructions. By way of example and not limitation, the memory 604 may include a hard disk drive (Hard Disk Drive, abbreviated as HDD), a floppy disk drive, a solid state drive (Solid State Drive, abbreviated as SSD), flash memory, optical disc, magneto-optical disc, magnetic tape, or Universal Serial Bus...
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