3-D reconstruction of tissue components for atherosclerotic human arteries using ex vivo high-resolution MRI
2006 (English)In: IEEE Transactions on Medical Imaging, ISSN 0278-0062, E-ISSN 1558-254X, Vol. 25, no 3, 345-357 p.Article in journal (Refereed) Published
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 adventitia, the adventitia-media, media-intima, intima-lumen and calcification boundaries are less than 1 pixel (0.234 mm). The percentage statistic shows similar results to the modified Williams index in terms of accuracy. Except for the identification of lipid-rich regions the proposed algorithm is automatic. The nonuniform rational B-spline-based computer-generated 3-D models of the individual tissue components provide a basis for clinical and computational analysis.
Place, publisher, year, edition, pages
2006. Vol. 25, no 3, 345-357 p.
active contour, atherosclerotic artery, segmentation snake, 3-D reconstruction, vessel wall imaging, boundary detection algorithms, optical coherence tomography, active contour models, gradient vector flow, in-vivo, intravascular ultrasound, medical images, intensity nonuniformity, automatic correction, computed-tomography
IdentifiersURN: urn:nbn:se:kth:diva-15494DOI: 10.1109/tmi.2006.870485ISI: 000235784000009ScopusID: 2-s2.0-33644625419OAI: oai:DiVA.org:kth-15494DiVA: diva2:333535
QC 201005252010-08-052010-08-05Bibliographically approved