Method for fully-automatically segmenting and quantifying left ventricle of cardiac magnetic resonance image

Abstract

The invention discloses a method for fully-automatically segmenting and quantifying the left ventricle of a cardiac magnetic resonance image, comprising the following specific steps of: carrying out automatic denoising and edge enhancement processing on a 4D (four-dimensional) cardiac magnetic resonance image first; automatically and preprimarily determining the center of the left ventricle by utilizing Hough transform, and implementing a region growing technology by taking the center of the left ventricle as a starting seed point to provide a left ventricle full-voxel blood region, and taking the mass center of the left ventricle full-voxel blood region as a center of the left ventricle in the current layer; finding out the center of each layer by using a seed propagation technology; implementing a region growing technology based on an iterative falling threshold by taking the center of the left ventricle of each layer as a starting seed point to automatically provide a left ventricle blood region of each layer, and calculating the area of the left ventricle blood region of each layer; automatically segmenting the top of the left ventricle according to the time-space continuity of the area of the left ventricle and calculating the area of the top of the left ventricle; positioning the bottom of the left ventricle according to the area and shape time-space continuity of the left ventricle, and automatically segmenting the bottom of the left ventricle of the heart by adopting a region growing technology which is constricted by the left ventricle shape with time-space continuity, and calculating the area of the bottom of the left ventricle; and finally, realizing whole segmentation of the left ventricle image. The method disclosed by the invention is of a fully-automaticprocess without any manual intervene.

Description

technical field [0001] The present invention belongs to the technical field of magnetic resonance imaging, and specifically refers to a method for automatically and accurately positioning the left ventricle in a 4D cardiac magnetic resonance image, and automatically identifying the bottom and top positions of the left ventricle, thereby realizing fully automatic segmentation and quantification of the left ventricle in the entire cardiac magnetic resonance image method. Background technique [0002] In recent years, heart disease has become the number one killer that endangers human health. In order to improve the quality of life and reduce the mortality rate of heart disease, a large number of technologies have been developed for clinical prospective diagnosis and treatment of heart disease. Accurate evaluation of heart disease with the help of medical imaging technology has become a routine and effective method for clinical diagnosis of heart disease and formulation of tre...

AI Technical Summary

Problems solved by technology

However, these algorithms are almost only effective when segmenting the left ventricle completely surrounded by the myocardium, and there are generally some problems as follows: the left ventricle cannot be accurately and effectively automatically located, the bottom and top of the left ventricle cannot be automatically identified, and the bottom of the left ventricle cannot be automatically extracted blood volume

In addition, although some commercial software has been used in clinical practice to replace the traditional purely manual segmentation, due to the limitations of the algorithm, a large number of manual interventions are still required to complete the quantification of left ventricular function indicators

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