Cardiac medial modeling and time-course heart wall thickness analysis

Hui Sun, Brian B. Avants, Alejandro F. Frangi, Federico Sukno, James C. Gee, Paul A. Yushkevich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The medial model is a powerful shape representation method that models a 3D object by explicitly defining its skeleton (medial axis) and deriving the boundary geometry according to medial geometry. It has been recently extended to model complex shapes with multi-figures, i.e., shapes whose skeletons can not be described by a single sheet in 3D. This paper applied the medial model to a 2-chamber heart data set consisting of 428 cardiac shapes from 90 subjects. The results show that the medial model can capture the heart shape accurately. To demonstrate the usage of the medial model, the changes of the heart wall thickness over time are analyzed. We calculated the mean heart wall thickness map of 90 subjects for different phases of the cardiac cycle, as well as the mean thickness change between phases.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2008 - 11th International Conference, Proceedings
PublisherSpringer-Verlag Italia
Pages766-773
Number of pages8
EditionPART 2
ISBN (Print)3540859896, 9783540859895
DOIs
Publication statusPublished - 2008
Event11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008 - New York, NY, United States
Duration: 6 Sept 200810 Sept 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5242 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008
Country/TerritoryUnited States
CityNew York, NY
Period6/09/0810/09/08

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