Spinal curvature angle measuring method and device, computer equipment and storage medium

Abstract

The invention relates to the field of artificial intelligence, is applied to the field of smart medical care, and discloses a spinal curvature angle measuring method and device, computer equipment anda storage medium. The method comprises the following steps: inputting a to-be-measured spine image into a preset neural network model, and extracting a candidate frame image with the highest inclination probability from the to-be-measured spine image; extracting key points associated with vertebrae from the candidate frame image through a preset key point extraction model; encoding the key pointsof the vertebrae through a key point correction model, obtaining an encoding result, performing position correction on the key points associated with the vertebrae in the candidate frame image according to the encoding result, and correcting the candidate frame image according to the position correction result; and determining a Cobb angle for evaluating the spinal curvature angle according to the key points in the corrected candidate frame image. The invention also relates to a blockchain technology. The Cobb angle is stored in the blockchain. The spinal curvature angle measuring method anddevice provided by the invention are used for saving the time cost and the labor cost for measuring the Cobb angle.

Description

technical field [0001] The invention relates to the field of image processing of artificial intelligence, in particular to a method, device, computer equipment and storage medium for measuring the curvature angle of the spine. Background technique [0002] Scoliosis is a common spinal deformity with a certain incidence in adolescents and middle-aged and elderly people. [0003] At present, in the process of scoliosis screening, the biggest difficulty is the measurement of scoliosis. The edge detection of traditional imaging methods is used to locate the edges and corners of vertebrae. This method has low precision and is affected by image quality. It is a big problem, and the success rate of this method for the edge and point recognition of the lesion area will be greatly reduced. Therefore, clinically relying on manual measurement of scoliosis, this method has the problems of high time cost and labor cost, and the measurement accuracy is not high. . [0004] Therefore, th...

AI Technical Summary

Problems solved by technology

[0003] At present, in the process of scoliosis screening, the biggest difficulty is the measurement of scoliosis. The edge detection of traditional imaging methods is used to locate the edges and corners of vertebrae. This method has low precision and is affected by image quality. It is a big problem, and the success rate of the method for identifying the edges and points of the lesion area will drop significantly. Therefore, clinically relying on manual measurement of scoliosis, this method has the problems of high time and labor costs, and the measurement accuracy is not high.

[0004] Therefore, those skilled in the art urgently need to find a new technical solution to solve the above-mentioned problems such as low measurement accuracy

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