Aneurysm detection method and system based on MRA, terminal and medium

Abstract

The invention discloses an intracranial aneurysm detection method based on MRA, and the method comprises the following steps: obtaining to-be-processed original image data, carrying out the correction and normalization processing of the original image data, and obtaining the processed image data; performing mIP reconstruction on the processed image data to obtain MIP images, and generating three kinds of rotating images after the external carotid artery is deleted, wherein each rotating image is composed of projections evenly distributed around a single rotating shaft; automatically segmenting intracranial artery blood vessel voxels; manufacturing a plurality of patches for each voxel in the blood vessel area, calculating the probability that all patches contain the aneurysm, classifying the calculated probabilities according to a preset probability threshold value, wherein the voxels larger than the preset probability threshold value generate a volume shape index image and a curvature image based on a curvature algorithm to display the aneurysm; measuring the maximum diameter of the aneurysm; and outputting an aneurysm detection result. According to the method, the intracranial artery blood vessel can be accurately identified, and the size of the aneurysm can be accurately measured.

Description

technical field [0001] The invention relates to the technical fields of medical images and computers, in particular to an MRA-based aneurysm detection method, system, terminal and medium. Background technique [0002] Intracranial aneurysms are abnormal bulges in the walls of intracranial arteries and are the main cause of nontraumatic subarachnoid hemorrhage. The reported prevalence of unruptured intracranial aneurysms is approximately 3.2%, and if the aneurysm grows over time, its rupture risk may be as high as 2.4%, which is 12 times the rupture risk of a stable aneurysm. Risk factors for rupture include aneurysm size, location, shape, and hemodynamics. Once an aneurysm ruptures, it may have serious consequences, even life-threatening, so early diagnosis is very important. [0003] Regarding the diagnosis of intracranial aneurysms, the existing methods mainly include: digital subtraction angiography (DSA), CT angiography (CTA), magnetic resonance angiography (MRA), and t...

AI Technical Summary

Problems solved by technology

If the specificity of the algorithm is low, vascular bifurcation and vascular stenosis may be mistaken for aneurysms, resulting in false positives, increasing the diagnostic time and misdiagnosis rate of radiologists, thus limiting clinical application

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