Bone segmentation method and device and fracture detection method and device

A technique for segmenting data and ribs, applied in the field of fracture detection method, fracture detection device, electronic equipment and computer-readable storage medium, bone segmentation method, and bone segmentation device, capable of solving the problem of rib root and vertebrae adhesion and inter-costal Sticking and other problems to achieve the effect of improving robustness and accuracy

Active Publication Date: 2021-03-12
INFERVISION MEDICAL TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0003] In view of this, the embodiment of the present application provides a bone segmentation method, a fracture detection method, a bone segmentation device, a fracture detection device, an electronic device, and a computer-readable storage medium, so as to solve the problem of ribs in the existing bone segmentation results. Adhesions between the ribs and the root of the ribs to the vertebrae

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  • Bone segmentation method and device and fracture detection method and device
  • Bone segmentation method and device and fracture detection method and device
  • Bone segmentation method and device and fracture detection method and device

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Embodiment Construction

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some, not all, embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0028] Application overview

[0029] Deep learning implements artificial intelligence in computing systems by building artificial neural networks with hierarchical structures. Since the artificial neural network with hierarchical structure can extract and filter the input information layer by layer, deep learning has the ability of representation learning, which can realize end-to-end supervised learning and unsupervised learning. The artificial neural network with hierarchical structure used in deep ...

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Abstract

The invention provides a bone segmentation method, which comprises the steps of inputting medical image data into a trained bone segmentation model for segmentation to obtain original bone segmentation data, the original bone segmentation data comprising original rib segmentation data and original non-rib segmentation data; conducting graphic operation on the medical image data, wherein rough bonesegmentation data are obtained, the rough bone segmentation data are binary value data, and the binary value data are used for distinguishing skeletons from non-skeletons; obtaining optimized rib segmentation data based on the medical image data, the original bone segmentation data and the rough bone segmentation data. According to the method, the ribs are segmented, adhesion between the ribs isremoved, adhesion between the roots of the ribs and the vertebrae is separated, the accuracy of rib segmentation is improved, optimized rib segmentation data is obtained, the robustness of bone segmentation is improved, and more accurate reference data is provided for subsequent fracture category detection.

Description

technical field [0001] The present application relates to the technical field of medical image segmentation, in particular to a bone segmentation method, a fracture detection method, a bone segmentation device, a fracture detection device, electronic equipment, and a computer-readable storage medium. Background technique [0002] With the increasing development of medical imaging technology and computer technology, it is widely used in the medical field to perform bone segmentation and fracture detection on CT (Computed Tomography, computerized tomography) images through deep learning neural network to quickly diagnose the fracture site. . However, due to the large change in CT image density, there are problems such as weak edge effects, especially in the image of the ribs, which is prone to problems of adhesion between ribs or adhesion between the rib root and the spine, resulting in inaccurate bone segmentation results output by the deep learning neural network. , the fra...

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Application Information

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IPC IPC(8): G06T7/00G06K9/34G06K9/62
CPCG06T7/0012G06T2207/10081G06T2207/30008G06V10/267G06F18/214
Inventor 贾玉杰张金余航王瑜赵朝炜李新阳王少康陈宽
Owner INFERVISION MEDICAL TECH CO LTD
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