TCT-355 An Automated Computational Method for Quantification of Total Fibrous Cap Volume and Mean Fibrous Cap Thickness with Optical Coherence Tomography

Abstract

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Peer reviewed

Vincent Woo, Zhi Chen, Taishi Hirai, Joseph R Weber, Tomas Kovarnik, Andreas Wahle, Milan Sonka and John J Lopez

Journal of the American College of Cardiology, Vol.66(15), pp.B143-B144

10/13/2015

DOI: 10.1016/j.jacc.2015.08.973

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Title: Subtitle: TCT-355 An Automated Computational Method for Quantification of Total Fibrous Cap Volume and Mean Fibrous Cap Thickness with Optical Coherence Tomography
Creators: Vincent Woo - Loyola University Medical Center
Zhi Chen - University of Iowa
Taishi Hirai - Loyola University Medical Center
Joseph R Weber - Loyola University Medical Center
Tomas Kovarnik - Charles University
Andreas Wahle - University of Iowa
Milan Sonka - University of Iowa
John J Lopez - Loyola University Medical Center
Resource Type: Abstract
Publication Details: Journal of the American College of Cardiology, Vol.66(15), pp.B143-B144
DOI: 10.1016/j.jacc.2015.08.973
ISSN: 0735-1097
eISSN: 1558-3597
Publisher: Elsevier Inc
Language: English
Date published: 10/13/2015
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; The Iowa Institute for Biomedical Imaging; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
Record Identifier: 9984186991102771

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