Method for rebuilding point-cloud type three-dimensional surface of nonparallel outline medical image

Abstract

The invention relates to a method for rebuilding a point-cloud type three-dimensional surface of a nonparallel outline medical image, which mainly comprises image acquisition, image segmentation, acquisition of two-dimensional outline point-cloud data, point-cloud surface rebuilding and three-dimensional drawing. Specifically, the method comprises the following steps: firstly, converting a seriesof nonparallel outline medical images into a point-cloud data set based on an outline, and calculating triangular patches of the point-cloud data set by using a point-cloud surface rebuilding algorithm; and then, selecting a sub triangle according to a certain rule, revolving a spatial pivot ball with a given radius around one edge of the triangle till touching another point so as to form a new triangular patch, and circulating the process till all point-cloud data are traversed and all surface rebuilding triangular patches are obtained. The method improves the rebuilding quality of the three-dimensional surface, saves the three-dimensional rebuilding time, and reduces the occupation of system resources during three-dimensional rebuilding so as to integrally improve the efficiency of the nonparallel outline three-dimensional surface rebuilding method and broaden the application range of the method in the field of medical images.

Description

technical field [0001] The invention relates to computer graphics technology, in particular to a method for performing three-dimensional surface reconstruction on non-parallel contour medical images by using contour point cloud data sets. Background technique [0002] Since the invention of X-rays, modern medical imaging equipment such as CT (Computed Tomography), MRI (Magnetic Resonance Imaging), CR (Computer X-ray Imaging), B-ultrasound, and electronic endoscopes have appeared one after another, making traditional medical diagnosis methods happen. a revolutionary change. With the development of modern computer science and technology, medical image processing has emerged as a new interdisciplinary subject, bringing a new dawn to medical diagnosis. However, the traditional way of viewing films is two-dimensional, requiring specially trained radiologists to view films and make material decisions. With the development of computer visualization technology, three-dimensional vi...

AI Technical Summary

Problems solved by technology

However, the original MC algorithm has three serious problems: topological inconsistency, low computational efficiency, and too many output triangles, which greatly limit its practical application, and it is not suitable for large-scale data sets. real-time visualization

For the 3D reconstruction of non-parallel medical images, there is no particularly mature reconstruction algorithm at present. Generally, some algorithms based on parallel images are borrowed, such as the Marching Cubes algorithm, but the reconstruction quality and time are not satisfactory

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