Automatic segmentation method of breast tumor based on 3D MRI image

Abstract

The invention provides a three-dimensional MRI image-based breast tumor automatic segmentation method. The method comprises the following steps of performing image preprocessing: providing an initial MRI image and performing preprocessing on the initial MRI image by adopting a non local mean filter; performing breast tumor locating: building a multilayer processing model for a training set, performing hierarchical abstraction on characteristics of a training object by adopting a convolutional neural network, automatically extracting segmentation characteristics, and outputting a probability distribution graph of a tumor position; performing breast tumor boundary segmentation: providing a breast three-dimensional MRI image, determining a seed point based on the probability distribution graph of the tumor position, and finishing segmentation initialization to obtain an initial region C0 of a tumor; and performing accurate segmentation on the tumor by using a region growth algorithm.

Description

technical field [0001] The invention belongs to the field of medical image processing, in particular to a method for automatically segmenting breast tumors based on three-dimensional MRI images. Background technique [0002] Breast cancer is the most common malignant tumor in women, and its mortality rate ranks first among female malignant tumors in the world. At present, early diagnosis and timely treatment are the most effective measures to deal with breast cancer. Medical imaging methods, such as X-rays, magnetic resonance imaging (MRI), and ultrasound detection, are currently the most important means of detecting and diagnosing breast cancer. Among them, MRI can better distinguish various tissues and provide sufficient reference information for doctors. However, in general, doctors need to manually segment breast tumors, which takes a lot of time and effort, and the diagnostic accuracy is affected by the professional ability, experience and subjective factors of doctor...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for automatic segmentation of breast tumors based on three-dimensional MRI images, aiming to solve the problem that in general, the segmentation of breast tumors based on MRI images needs to be performed manually, and currently there is no effective tumor segmentation software that can support it well. Dicom format problem

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