A Feature Extraction Method of Lightweight Incisional Hernia Mesh 3D Ultrasound Image

Abstract

The invention belongs to the technical field of image processing, in particular to a method for extracting features of a light-weight three-dimensional ultrasonic image of an incisional hernia patch. The present invention first uses the texture feature extraction algorithm to automatically quantify and extract the relevant texture feature parameters of the area to be classified in the three-dimensional volume of interest (VOI) of the automated three-dimensional breast ultrasound (ABUS) image, so as to distinguish the patch from the fascia; and then Aiming at the problem that the two-dimensional texture parameters are sensitive to spatial transformations such as curling and shrinkage of the incisional hernia mesh, three-dimensional texture parameters and three-dimensional position parameters are introduced to improve the robustness of the light-weight patch classification and recognition algorithm; finally, the class The distance algorithm and the sequential forward search method are used for feature selection. The method of the invention has good feature selection effect and high efficiency, can effectively improve the classification accuracy of the light-weight incision hernia patch three-dimensional ultrasonic image, and is convenient for automatic classification and identification.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for extracting features of a lightweight three-dimensional ultrasonic image of an incisional hernia patch. Background technique [0002] The thickness of light-weight patches is usually less than 0.5mm, the braided hole diameter is more than 3mm, and the residual foreign matter is very small, resulting in weak echo signals, and the linear hyperechoic images in the imaging results are not obvious enough. At the same time, in abdominal wall herniorrhaphy, lightweight mesh can be placed in the front of the abdominal fascia (Onlay), between the muscles (Inlay), the space between the fascia and the peritoneum (Sublay), and the intraperitoneal wall of the abdominal cavity (IPOM). ) four positions related to the anatomical structure of the abdominal wall (such as figure 2 shown), while all implantation locations were relatively close to the fascial tissue....

AI Technical Summary

Problems solved by technology

[0002] The thickness of lightweight patches is usually less than 0.5mm, the braided hole diameter is more than 3mm, and the residual foreign matter is very small, resulting in weak echo signals, and the linear hyperechoic images in the imaging results are not obvious enough

[0003] Due to the overlapping of lightweight mesh and fascia in HHUS images, it is difficult to distinguish the lightweight mesh from its surrounding fascia

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