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Cerebrovascular morphological characteristic quantitative analysis method

A morphological feature and quantitative analysis technology, applied in the field of medical imaging, which can solve the problems of difficult tumor identification and lack of quantitative methods.

Active Publication Date: 2021-05-14
FUDAN UNIV
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Problems solved by technology

The existing quantitative analysis methods of blood vessels can realize simple branch and radius calculation, but lack of other quantitative methods, it is difficult to be used for tumor identification

Method used

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  • Cerebrovascular morphological characteristic quantitative analysis method
  • Cerebrovascular morphological characteristic quantitative analysis method
  • Cerebrovascular morphological characteristic quantitative analysis method

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Embodiment Construction

[0042] Below, taking the analysis of magnetic resonance cerebral vascular enhanced image (MRA-TOF) as an example, the specific embodiments of the present invention will be described in detail in conjunction with the accompanying drawings. figure 2 It is a flowchart of the MRA-TOF blood vessel analysis method provided by the present invention.

[0043] Step S1, extracting vascular images from the MRA-TOF, the images only contain tubular structures.

[0044] In step S2, the vascular structure in step S1 is thinned by using the morphological thinning algorithm, and the center line of the blood vessel structure is obtained, and the set of all points of the center line is denoted as C.

[0045] Step S3, judge the adjacency relationship between each point on the center line of the blood vessel, and the distance between the two points is less than or equal to Then there is an adjacency relationship, and the adjacency relationship between points constitutes an edge, so as to constr...

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Abstract

The invention belongs to the technical field of medical imaging, and particularly relates to a cerebrovascular morphological characteristic quantitative analysis method. According to the method, the structural characteristics of a blood vessel network are utilized, calculation of various quantitative characteristics is achieved by constructing the blood vessel network adjacency matrix, and the method has high universality and can be used for blood vessel images obtained in different collection modes such as X-rays, CT and MRI. The analysis result comprises various characteristics such as the number of blood vessel branches, the branch length, the blood vessel radius, the blood vessel curvature and the blood vessel network complexity, and the efficiency of analyzing the blood vessel quantitative parameters by a doctor can be effectively improved. The method has rotation invariance, the analysis result is not affected after the blood vessel image is rotated, and automatic analysis of two-dimensional blood vessel images and three-dimensional blood vessel images can be achieved. The method plays a huge role in intelligent diagnosis and treatment of cardiovascular diseases and other important vascular diseases in the future, and has great market potential and economic and social benefits.

Description

technical field [0001] The invention belongs to the technical field of medical imaging, and in particular relates to a quantitative analysis method for morphological characteristics of cerebral blood vessels. Background technique [0002] The emergence and development of many diseases are often accompanied by abnormalities and lesions of blood vessels in tissues and organs. With the rapid development of medical imaging technology, various imaging methods are used to non-invasively observe tissue blood vessels, analyze and study the changes of blood vessels, and play an important role in clinical practice. [0003] Vascular abnormalities and lesions are the main features of many diseases such as cardiovascular and cerebrovascular diseases, liver cirrhosis, and various tumors. For a long time, the method of quantitative analysis of tissue blood vessels is to use tissue slices to measure related parameters such as blood vessel density, blood vessel length and diameter. This t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/02A61B5/055A61B5/00
CPCA61B5/02007A61B5/055A61B5/72A61B5/0042A61B2576/026
Inventor 王鹤张博宇
Owner FUDAN UNIV
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