3-D reconstruction of tissue components for atherosclerotic human arteries using ex vivo high-resolution MRI

IEEE Transactions on Medical Imaging
M AuerGerhard A Holzapfel

Abstract

Automatic computer-based methods are well suited for the image analysis of the different components in atherosclerotic plaques. Although several groups work on such analysis some of the methods used are oversimplified and require improvements when used within a computational framework for predicting meaningful stress and strain distributions in the heterogeneous arterial wall under various loading conditions. Based on high-resolution magnetic resonance imaging of excised atherosclerotic human arteries and a series of two-dimensional (2-D) contours we present a segmentation tool that permits a three-dimensional (3-D) reconstruction of the most important tissue components of atherosclerotic arteries. The underlying principle of the proposed approach is a model-based snake algorithm for identifying 2-D contours, which uses information about the plaque composition and geometric data of the tissue layers. Validation of the computer-generated tissue boundaries is performed with 100 MR images, which are compared with the results of a manual segmentation performed by four experts. Based on the Hausdorff distance and the average distance for computer-to-expert differences and the interexpert differences for the outer boundary of the adv...Continue Reading

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Citations

Mar 27, 2007·Annals of Biomedical Engineering·T Christian Gasser, Gerhard A Holzapfel
Jul 25, 2007·Annals of Biomedical Engineering·Dimitrios E KiousisGerhard A Holzapfel
May 25, 2011·Computer Methods in Biomechanics and Biomedical Engineering·Alexandre FranquetPierre Badel
Nov 4, 2006·Biomedical Engineering Online·Alessandro BorghiX Yun Xu
Jul 11, 2006·International Journal of Cardiology·Gerhard A Holzapfel, Thomas C Gasser
Feb 18, 2015·Materials Science & Engineering. C, Materials for Biological Applications·Karanvir Saini, Navin Kumar
Dec 21, 2014·Annals of Biomedical Engineering·Shujuan Wang, Kambiz Vafai

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