Three-dimensional MRI focus image segmentation method and system

Abstract

The invention discloses a three-dimensional MRI (Magnetic Resonance Imaging) lesion image segmentation method and a three-dimensional MRI lesion image segmentation system. The three-dimensional MRI lesion image segmentation method comprises the following steps: S1, obtaining an important lesion feature image sequence from a multi-modal MRI image under various weighted S2, sequentially performing focus feature reconstruction on each group of focus important feature image sequences to obtain MRI focus images in corresponding weighted imaging modes, and sequentially calculating focus information degree of each MRI focus image; and S3, constructing a modal weight corresponding to a weighted imaging modal based on the lesion information degree, and performing modal feature reconstruction on all the MRI lesion images according to the modal weight to obtain a three-dimensional MRI lesion image. According to the three-dimensional MRI lesion feature representation method, all lesion features in various weighted imaging modes are subjected to generalization and personalized overall representation in the three-dimensional MRI lesion image, so that the expression accuracy of the lesion features of the target object is improved, and the auxiliary precision of a doctor on disease diagnosis is improved.

Description

technical field [0001] The invention relates to the technical field of lesion identification, in particular to a method and system for segmenting three-dimensional MRI lesion images. Background technique [0002] With the development of digital medical technology, the role of medical images in the medical diagnosis process has become more and more obvious, and it has gradually become the main tool for doctors to observe human lesions. When diagnosing a disease, doctors generally search for regions of interest representing lesions from medical images artificially based on experience. [0003] MRI (English full name: Magnetic Resonance Imaging, Chinese full name: Nuclear Magnetic Resonance Imaging) image is one of the commonly used medical images. MRI imaging is a kind of tomographic imaging. It uses magnetic resonance to obtain electromagnetic signals from the human body and reconstruct the human body. information to obtain MRI images. It can directly make tomographic image...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a three-dimensional MRI lesion image segmentation method and system to solve the problem that doctors in the prior art need to diagnose diseases based on multiple time-sequence images when diagnosing diseases through MRI images, which not only increases the workload of doctors, Moreover, there are also high requirements for the professionalism of doctors, and technical problems such as missed inspections are prone to occur.

Images