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Method for separating blood vessel data in digital coronary angiography

An angiography image and coronary artery technology, applied in the field of medical imaging, can solve the problems of low signal-to-noise ratio of different single images, unable to extract blood vessels, and great adaptability, etc., and achieve complete segmentation results and good difference adaptability. Effect

Inactive Publication Date: 2009-10-07
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

Due to the large difference between coronary angiography images and the low signal-to-noise ratio of a single image, the adaptability of this method has great problems and cannot extract all blood vessels, especially the parts with low contrast

Method used

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  • Method for separating blood vessel data in digital coronary angiography
  • Method for separating blood vessel data in digital coronary angiography
  • Method for separating blood vessel data in digital coronary angiography

Examples

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example

[0047] The example image is as figure 2 As shown, the image contains a dark target and a bright background, and the dark target represents an artery. The steps of this example are described in detail below:

[0048] (1 pair figure 2 The sequence of images shown f 0 (x, y, t) (0≤x<512, 0≤y<512, 0≤t<48) for frequency domain enhancement, this sequence contains 48 images from systole to diastole to systole image. The process is:

[0049] (1.1) For image sequence f 0 (x, y, t) performs 512×512 discrete Fourier transforms along the time axis t to obtain a frequency domain signal F of 48×512×512 points 0 (x, y, k), 0≤k<48, the discrete Fourier transform formula is as follows:

[0050] F 0 ( x , y , k ) = 1 48 Σ t = 0 ...

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Abstract

The invention discloses a method for segmenting blood vessel data in digital coronary angiography images, the steps of which are as follows: ① Carry out frequency domain enhancement on coronary angiography image sequences to obtain enhanced new image sequences f(x, y, t) ; ② In the new image sequence f(x, y, t), take out the single-frame enhanced image f(x, y) to be segmented, and perform two scales of f(x, y) for the aorta and small blood vessels respectively Disc structure low-hat transformation to obtain grayscale images g1(x, y) and g2(x, y); ③ "relative threshold comparison" for g1(x, y) and g2(x, y) to extract gray The blood vessels in the degree image are obtained to obtain binary images B1(x, y) and B2(x, y) ④ Combine the two binary images to obtain the segmentation result image. The method of the invention makes full use of the information in five aspects of blood vessel movement, structure, scale, shape, and gray scale, can effectively segment contrast images, and is easy to operate and high in work efficiency.

Description

technical field [0001] The invention belongs to the technical field of medical imaging, and in particular relates to a method for segmenting blood vessel data in digital coronary angiography images. Background technique [0002] Digital angiography technology has been used clinically for more than 20 years, and it is an important basis for non-invasive diagnosis of cardiovascular and cerebrovascular diseases and surgical navigation for interventional therapy. Coronary angiography is the most common imaging method used to diagnose coronary artery disease and assess the degree of stenosis. A key task in contrast-enhanced image processing is to perform image segmentation so that the physiological characteristics of blood vessels can be displayed more clearly. Subsequent operations such as structural analysis, motion analysis, and 3D visualization, as well as applied research such as image-guided surgery and treatment evaluation, are all important. based on image segmentation. ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 曹治国张天序桑农周奕
Owner HUAZHONG UNIV OF SCI & TECH