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Method for implementing cerebrovascular image recognition by using fast boundary tracking

A boundary tracking and image recognition technology, applied in the field of medical image recognition, can solve the problems of low boundary accuracy, insufficient smooth boundary, unsatisfactory processing speed, etc., and achieve the effect of reducing time complexity, improving accuracy and high precision

Inactive Publication Date: 2009-03-25
SUZHOU SOUKE INFORMATION TECH
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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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  • Method for implementing cerebrovascular image recognition by using fast boundary tracking
  • Method for implementing cerebrovascular image recognition by using fast boundary tracking
  • Method for implementing cerebrovascular image recognition by using fast boundary tracking

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[0035] Example: figure 1 It is a flow chart of the fast boundary tracking method based on cerebrovascular image features implemented by the present invention, and the data file (picture file) is a cerebrovascular picture conforming to the BMP format.

[0036] Methods as below:

[0037] (1) Acquisition of cerebrovascular images According to the requirements of edge extraction, the DSA image files captured by the hardware equipment imaging device are read through the file reading module, and converted into standard BMP images through the image conversion module. In this embodiment, a single cerebrovascular picture is taken, and the resolution of the single picture is 1024×1024. Finally, the necessary preprocessing work is performed on the cerebrovascular images, including smoothing and denoising;

[0038] (2) Gradientization of Cerebral Vascular Images The first-order reciprocal of a digital image is based on various approximations of two-dimensional gradients. The gradient o...

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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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Application Information

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IPC IPC(8): G06K9/46G06K9/54A61B6/00
Inventor 崔志明吴健翟海涛孙晓平赵朋朋
Owner SUZHOU SOUKE INFORMATION TECH
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