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Blood vessel bifurcation extracting method and system of lung CT picture

A CT image and extraction method technology, applied in the field of image processing, can solve the problems of noise sensitivity and high requirements for refined results, and achieve the effects of strong robustness, auxiliary clinical diagnosis and treatment, and high execution efficiency.

Active Publication Date: 2015-04-29
SHENZHEN UNIV
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Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide a method for extracting blood vessel bifurcation points in lung CT images, aiming to solve the problems that the existing blood vessel intersection point extraction methods have high requirements for thinning results and are sensitive to noise

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  • Blood vessel bifurcation extracting method and system of lung CT picture
  • Blood vessel bifurcation extracting method and system of lung CT picture
  • Blood vessel bifurcation extracting method and system of lung CT picture

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[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0027] The blood vessel bifurcation point extraction method of the lung CT image proposed by the present invention makes full use of the spherical characteristics of the geometric structure of the blood vessel bifurcation point and the accumulative nature of tensor voting. Ball tensor voting is performed on the pixels of the ball tensor, and the local maximum value of the significance coefficient of the ball tensor is solved to obtain the candidate blood vessel bifurcation point, and then the end point of the blood vessel is removed by the principal component analysis algorithm to obtain an accurate...

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Abstract

The invention belongs to the field of picture processing, and provides a blood vessel bifurcation extracting method and system of a lung CT picture. The spherical characteristic of the blood vessel bifurcation on a geometrical structure and the accumulation performance of tensor voting are fully used, spherical tensor voting is carried out on pixel points, belonging to a blood vessel, on the reinforced lung CT picture, the partial maximum value of a spherical tensor significance coefficient is solved to obtain an alternative blood vessel bifurcation, then the tail end points of the blood vessel are removed through a main component analysis algorithm, and an accurate lung blood vessel bifurcation is obtained. The method and system do not need earlier stage operation of the picture, has high robustness on noise, provides important basis for later picture registration and lung movement, is favorable for later lung CT picture analysis, and assists in clinical diagnosis and treatment.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method and system for extracting blood vessel bifurcation points of lung CT images. Background technique [0002] Lung CT images are reconstructed images obtained by scanning different X-ray absorption and transmission rates of human tissues. Extracting feature points of lung CT images has important application significance, and is the premise and basis of visual processing and image processing. The characteristics of lung CT images mainly include corner points, edge points, inflection points, boundaries and textures, etc. In lung CT images, blood vessel bifurcation points are important for computer vision such as lung motion estimation and image registration due to their special geometric structures. The basis of tasks in the field has a direct impact on the accuracy of automatic calibration and registration in image analysis. [0003] The methods for extracting b...

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Application Information

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IPC IPC(8): G06T7/00G06T5/00
CPCG06T7/0012G06T7/0014G06T2207/10081G06T2207/30061G06T2207/30101G06T5/73
Inventor 杨烜裴继红史景利
Owner SHENZHEN UNIV
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