A method for determining an abnormal type of a spinal cross-section image and computing equipment

A technology of abnormal types and computing equipment, applied in the field of image processing, can solve problems such as low efficiency, complex classification of lumbar disc herniation, heavy burden on medical workers, etc., to achieve the effect of improving accuracy and saving time for abnormal types

Active Publication Date: 2019-06-18
刘星宇 +1
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Problems solved by technology

[0003] However, at present, when using MRI images for auxiliary diagnosis, manual interpretation is mostly used, which inevitably introduces the following problems: 1) There are errors. Different results will be obtained; 2) The classification of lumbar disc herniation is more complicated, and it is not easy to interpret in a short time, resulting in a heavy burden on medical workers and low efficiency

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  • A method for determining an abnormal type of a spinal cross-section image and computing equipment
  • A method for determining an abnormal type of a spinal cross-section image and computing equipment
  • A method for determining an abnormal type of a spinal cross-section image and computing equipment

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[0031] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0032] figure 1 is a block diagram of an example computing device 100 . In a basic configuration 102 , computing device 100 typically includes system memory 106 and one or more processors 104 . A memory bus 108 may be used for communication between the processor 104 and the system memory 106 .

[0033] Depending on the desired configuration, processor 104 may be any type of processor including, but not limited to, a microprocesso...

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Abstract

The invention discloses a method for determining an abnormal type of a spinal cross section image and computing equipment. The method comprises: acquiring an abnormal area from a spinal cross sectionimage; Determining at least one key point in the spine cross section image; And combining the abnormal area and the key points to determine an abnormal type of the spinal cross section image.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and computing equipment for determining abnormal types of spine cross-sectional images. Background technique [0002] With the rapid development of computer vision, the use of computer technology to assist orthopedic precision surgery is gradually increasing. The most common application is Magnetic Resonance Imaging (MRI) imaging, from which a variety of physical property parameters of matter can be obtained, such as proton density, spin-lattice relaxation time T1, spin-spin Spin relaxation time T2, diffusion coefficient, magnetic susceptibility coefficient, chemical shift, etc., in order to apply it to the imaging diagnosis of various systems of the whole body. One of the main applications is spine imaging to obtain sagittal and cross-sectional images of the human spine, which can then be used in the diagnosis of various spinal diseases. The most representativ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06N3/04G06N3/08
Inventor 刘星宇张逸凌冯世庆张蒂刘慧烨张云东安奕成
Owner 刘星宇
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