Beyond the AHA 17-segment model: Motion-driven parcellation of the left ventricle

Wenjia Bai, Devis Peressutti, Sarah Parisot, Ozan Oktay, Martin Rajchl, Declan O’Regan, Stuart Cook, Andrew King, Daniel Rueckert

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

5 Scopus citations

Abstract

A major challenge for cardiac motion analysis is the highdimensionality of the motion data. Conventionally, the AHA model is used for dimensionality reduction, which divides the left ventricle into 17 segments using criteria based on anatomical structures. In this paper, a novel method is proposed to divide the left ventricle into homogeneous parcels in terms of motion trajectories. We demonstrate that the motion-driven parcellation has good reproducibility and use it for data reduction and motion description on a dataset of 1093 subjects. The resulting motion descriptor achieves high performance on two exemplar applications, namely gender and age predictions. The proposed method has the potential to be applied to groupwise motion analysis.

Original languageEnglish
Title of host publicationStatistical Atlases and Computational Models of the Heart
Subtitle of host publicationImaging and Modelling Challenges - 6th International Workshop, STACOM 2015 Held in Conjunction with MICCAI 2015, Revised Selected Papers
EditorsKawal Rhode, Oscar Camara, Alistair Young, Tommaso Mansi, Maxime Sermesant, Mihaela Pop
PublisherSpringer Verlag
Pages13-20
Number of pages8
ISBN (Print)9783319287119
DOIs
StatePublished - 2016
Externally publishedYes
Event6th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2015 - Munich, Germany
Duration: 9 Oct 20159 Oct 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9534
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2015
Country/TerritoryGermany
CityMunich
Period9/10/159/10/15

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