A Method for Automatically Segmenting the Inner and Outer Media of the Left Ventricle

Abstract

The invention discloses a method for automatically segmenting the inner and outer membranes of the left ventricle. The steps are as follows: 1) selecting images to be processed; 2) selecting an optimized Mean Shift clustering algorithm to preprocess the images of the left ventricle; 3) using the improved hough transform circle Detection algorithm, positioning the inner cavity of the left heart, and obtaining the initial contour of the inner and outer membrane segmentation; 4) Segmenting the inner and outer membranes of the image with a bi-level model; 5) Checking the convergence of the energy function formula of the bi-level set model; 6) Obtaining the segmentation effect of the contour of the segmented inner and outer membranes picture. The invention solves the problem of artificially setting the initial position of the segmentation, improves the segmentation accuracy of the inner and outer membranes, reduces the time for model segmentation of the inner and outer membranes, and obtains the contour of the inner and outer membranes with no edge leakage and good regularity in line with clinical definitions.

Description

technical field [0001] The invention relates to medical image processing technology, in particular to a method for automatically dividing the inner and outer membranes of the left ventricle. Background technique [0002] In recent years, the increasing number of deaths from heart disease has triggered people's deeper exploration of the heart. Accurate extraction of the left ventricular epicardium is an important basis for further research on the left ventricle of the heart. In terms of clinical application, the accurate segmentation of the left ventricular epicardium can provide some important parameters of left ventricular function, which is helpful for doctors to quantitatively analyze whether the left ventricular function is abnormal; in terms of scientific research, the segmentation of the left ventricle is the basis for three-dimensional modeling of the left ventricle. The amount of image data in a heart vibration cycle is large. If you want to obtain objective and acc...

AI Technical Summary

Problems solved by technology

[0019] Aiming at the problems existing in the prior art, the present invention provides a method for automatically segmenting the inner and outer membranes of the left ventricle to solve the problems of low accuracy of the DRLSE level set model in fuzzy boundary segmentation, poor edge regularity and segmentation not meeting clinical requirements

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