System and method for semi-automatic aortic aneurysm analysis

Abstract

A method for automatically analyzing an aortic aneurysm includes providing a digitized 3-dimensional image volume of an aorta, determining which voxels in said image are likely to be lumen voxels, determining a distance of said lumen voxels from an aortic boundary, finding a centerline of the aorta in said image volume based on said lumen voxel distances, constructing a series of 2-dimensional multiplanar reformatted (MFR) image planes orthogonal to this centerline, segmenting aortic cross sections in each said MPR image plane wherein an aortic wall is located in each MPR image, and constructing from said aortic wall locations a 3D model of the aorta.

Description

[0001] Mutually Cross-References to U.S. Applications [0002] This application claims priority to U.S. Provisional Application No. 60 / 793,866 "Semi-Automatic Aortic Aneurysm Analysis," filed April 21, 2006, by O'Donnell et al., the contents of which are incorporated herein by reference. technical field [0003] The present disclosure relates to a method for automatic segmentation of aortic slices from computed tomography angiography acquisitions. Background technique [0004] The aorta is the largest artery in the body and is the main conduit for oxygenated blood. Aortic aneurysm (AA) is a permanent and irreversible localized expansion of the vessel and, if left untreated, will gradually dilate until rupture, resulting in death in 90% of cases. Aortic aneurysms are the 13th leading cause of death in the United States. Standard therapy assesses the risk of aneurysm rupture based on the largest aortic diameter. Current clinical means for obtaining these measurements requi...

AI Technical Summary

Problems solved by technology

However, in this field, challenges arise from the morphology of vessels, which are more detailed and complex compared to the aorta, and do not commit to the thrombosis argument

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