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Strengths and pitfalls of whole-heart atlas-based segmentation in congenital heart disease patients

Research output: Chapter in Book/Report/Conference proceedingConference paper

Maria A. Zuluaga, Benedetta Biff, Andrew M. Taylor, Silvia Schievano, Tom Vercauteren, Sébastien Ourselin

Original languageEnglish
Title of host publicationReconstruction, Segmentation, and Analysis of Medical Images - 1st International Workshops, RAMBO 2016 and HVSMR 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers
PublisherSpringer Verlag
Pages139-146
Number of pages8
Volume10129 LNCS
ISBN (Print)9783319522791
DOIs
Publication statusE-pub ahead of print - 19 Jan 2017
Event1st International Workshops on Reconstruction and Analysis of Moving Body Organs, RAMBO 2016 and 1st International Workshops on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, HVSMR 2016 Held in Conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016 - Athens, Greece
Duration: 17 Oct 201621 Oct 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10129 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshops on Reconstruction and Analysis of Moving Body Organs, RAMBO 2016 and 1st International Workshops on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, HVSMR 2016 Held in Conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016
CountryGreece
CityAthens
Period17/10/201621/10/2016

King's Authors

Abstract

Atlas-based whole-heart segmentation is a well-established technique for the extraction of key cardiac structures of the adult heart. Despite its relative success in this domain, its implementation in wholeheart segmentation of paediatric patients suffering from a form of congenital heart disease is not straightforward. The aim of this work is to evaluate the current strengths and limitations of whole-heart atlas based segmentation techniques within the context of the Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease Challenge (HVSMR). Obtained results suggest that there are no significant differences in the accuracies of state-of-the-art methods, reporting maximum Dice scores of 0.73 for the myocardium and 0.90 for the blood pool.

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