A Segmentation Method for Cardiac MRI Image

Abstract

The invention relates to a cardiac nuclear magnetic resonance image segmentation method which comprises the following steps of: 1, carrying out Gaussian filtering pretreatment on an image; 2, calculating an external force field of an edge for keeping a normal gradient vector flow; 3, defining an initialization outline position of an inner membrane of the cardiac ventriculus sinister; 4, adding a circular energy constraint in a curve evolution process, and segmenting to obtain the inner membrane; 5, defining a final segmentation outline result of the inner membrane as an initialization outlineposition of an outer membrane; 6, setting the edge strength of a zone enclosed by the inner membrane outline in an original edge graph as 0, and re-calculating the external force field; and 7, addinga circular energy constraint in a curve evolution process, and segmenting to obtain the outer membrane. The invention has the advantages of large capturing range, strong noise proof capacity, better robustness to weak edge leakage, and capability of accurately segmenting the inner membrane and the outer membrane of the ventriculus sinister wall.

Description

technical field [0001] The invention relates to an image segmentation method, in particular to a cardiac nuclear magnetic resonance image segmentation method, and belongs to the technical field of image processing. Background technique [0002] Cardiac MRI (magnetic resonance imaging) can provide high-resolution, better soft tissue contrast images, and accurately describe the anatomical structure and function of the heart. It is one of the current research hotspots in the field of medical image analysis. Since the left ventricle is responsible for blood supply, current research has focused on the function of the left ventricle. In order to make full use of the anatomical information in the image and provide a quantitative and intuitive reference for clinical diagnosis, the intima and adventitia of the left ventricular wall must first be segmented. However, due to the motion of the heart and the high-speed flow of blood, the image is disturbed by noise, so the segmentation o...

AI Technical Summary

Problems solved by technology

[0004] At present, there are the following difficulties in the segmentation of the left ventricle and the adventitia of the heart: First, due to the influence of blood flow in the imaging process of cardiac MR images, artifacts will be generated in the blood pool, making the image grayscale uneven; secondly, the target boundary Often affected by factors such as mastoid muscle and breathing, the boundary becomes blurred or even broken; in addition, because the gray levels of the left ventricle and the right ventricle and other surrounding tissues such as the liver are very close, a weak boundary is formed. At this time, based on the active contour Model-based methods often leak when segmenting the left ventricular epicardium

Existing methods do not propose good solutions to these problems

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