A method for segmenting breast lesions

Abstract

The invention provides a method for partitioning breast lesion. The method comprises steps as follows: coarse chest partition is performed on a magnetic resonance image on the basis of an oval model before a contrast medium is injected, and a first image is acquired; silhouette is performed after registration of magnetic resonance images obtained before and after the contrast medium is injected, and a silhouette image of the breast part is extracted from the acquired silhouette images on the basis of the first image; the silhouette image of each layer of breast parts is subjected to lesion detection, and a second image is acquired; and a three-dimensional communication area is found sequentially from the second image, self-adaptive region growing is performed on the silhouette image by taking the gravity center of each communication area as a seed point, and the magnetic resonance images are acquired after suspicious lesions of the breast are partitioned. The provided method for partitioning breast lesions can simply, effectively and automatically partition the suspicious lesions and can be widely applied to magnetic resonance imaging data by injecting various contrast media.

Description

Technical field [0001] The invention relates to the field of medical image processing, in particular to a method for segmenting breast lesions. Background technique [0002] Computer-aided diagnosis (ComputerAidedDiagnosis, CAD) refers to the use of imaging, medical image processing technology, and other possible physiological and biochemical methods, combined with computer analysis and calculation, to assist imaging physicians in finding lesions and improve the accuracy of diagnosis. With the development of technology, modern high-definition imaging equipment represented by magnetic resonance imaging and computer tomography provides great convenience for the diagnosis of clinical diseases. At present, CAD research is more mature in breast and lung diseases; [0003] Breast cancer is one of the most common cancers in women, and it is the second leading cancer killer leading to female deaths. MRI has become an effective method to assist doctors in detecting breast cancer due to it...

AI Technical Summary

Problems solved by technology

[0005] The problem to be solved by the present invention is to provide a method for segmenting breast lesions, which is used to solve the problem in the prior art that the user must manually provide seed points to automatically segment and process more than one lesions efficiently and accurately

Images