Method for implementing cerebrovascular image recognition by using fast boundary tracking

Abstract

The invention discloses a method for realizing cerebrovascular image identification by using fast boundary tracking. The method comprises the following steps: obtaining an original cerebrovascular image needed to be identified and performing pretreatment on the original cerebrovascular image; performing gradient treatment on the original cerebrovascular image; using a pixel point with the biggest gradient value in the image after the gradient treatment as a starting pixel point to perform tracing judgment on boundary points; and repainting all the obtained boundary points into an image which is the needed processed cerebrovascular image. The method is characterized in that three adjacent points of the prior point which is far from the last point are selected as candidate nodes, and the next adjacent point is determined by distributing different weights according to the importance differences of position information of the nodes so as to obtain a boundary tracing image of the cerebrovascular image. The boundary image extracted by the method has distinct outline, low noise, high precision, and smooth boundary, improves the quality of boundary extraction, and reduces the computation time greatly; besides, the method is applied to a system for computer-aided diagnosis of cerebrovascular diseases, and improves the accuracy of a computer in judging cerebrovascular pathological change parts and types.

Description

technical field [0001] The invention relates to a digital image recognition method, in particular to a method for realizing cerebrovascular image recognition based on fast boundary tracking of cerebrovascular image features and direction memory, and belongs to the field of medical image recognition. Background technique [0002] In recent years, with the continuous maturity and development of computer technology, digital image processing technology has been widely used in the medical field. The computer-aided diagnosis (CAD) system produced by the combination of information technology and medical imaging technology is playing an increasingly important role in the detection and treatment of various diseases, and has become a research hotspot in medical imaging. one. [0003] The diagnosis and treatment of cerebrovascular diseases is a major world problem in the field of medicine. Cerebrovascular disease is the leading cause of death and disability in the world and a serious...

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Problems solved by technology

[0006] The purpose of the present invention is to provide a method for realizing cerebrovascular image recognition by using fast boundary tracking, so as to solve the problem of low boundary accuracy, insufficient smoothness of the boundary and insufficient processing speed caused by the existing boundary tracking algorithm for tracking cerebrovascular images. Defects such as artificiality make the extracted cerebrovascular edge information more in line with the requirements of the computer-aided diagnosis system not only in accuracy but also in speed

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