Spinal CT image bilateral filtering denoising method based on feature selection

Abstract

The invention discloses a spinal CT image bilateral filtering denoising method based on feature selection, belonging to the medical image processing field, the method aims to overcome the defect thatimage quality cannot completely meet actual clinical operation and teaching research requirements after being processed through a conventional denoising method. The region of interest is enhanced while the irrelevant region in the spinal medical image is removed; the foundation is laid for later image segmentation, positioning, three-dimensional reconstruction and other operations. The method comprises the following steps: firstly, spine point cloud data in spatial transverse, longitudinal and vertical directions is gridded; the number of the point clouds in all the grids is judged, then the noise point clouds are divided into point clouds far away from the spine interest area and sparse, point clouds far away from the spine interest area and dense and noise point clouds mixed with the spine interest area, and the noise point clouds are removed in sequence to achieve the better denoising effect.

Description

technical field [0001] The invention belongs to the field of medical technology, and in particular relates to a denoising method for image preprocessing in spine clinical operations and teaching research. Background technique [0002] During the acquisition process of spine CT images by tomography equipment, there will be a lot of noise interference due to the influence of scanning spine shape and surface state factors. Therefore, before performing operations such as segmentation, positioning, and 3D reconstruction of spine CT images, it should The purpose of denoising the spine body data is to improve the quality of the image and the smoothness of the image after 3D reconstruction and visualization operations while ensuring the characteristics of the spine itself. In the denoising process, it is necessary to adopt different denoising methods according to the specificity of spine data to make up for the problem that the image accuracy and quality after conventional denoising...

AI Technical Summary

Problems solved by technology

[0003] For this reason, the purpose of the present invention is to solve the problem that the accuracy and quality of images processed by conventional denoising methods cannot fully meet the needs of actual clinical operations and teaching research, and provide a bilateral filtering and denoising method for spine CT images based on feature selection to solve the above background technical issues in

Images