Towards left ventricular scar localisation using local motion descriptors

Devis Peressutti, Wenjia Bai, Wenzhe Shi, Catalina Tobon-Gomez, Thomas Jackson, Manav Sohal, Aldo Rinaldi, Daniel Rueckert, Andrew King

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

6 Scopus citations

Abstract

We propose a novel technique for the localisation of Left Ventricular (LV) scar based on local motion descriptors. Cardiac MR imaging is employed to construct a spatio-temporal motion atlas where the LV motion of different subjects can be directly compared. Local motion descriptors are derived from the motion atlas and dictionary learning is used for scar classification. Preliminary results on a cohort of 20 patients show a sensitivity and specificity of 80% and 87% in a binary classification setting.

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
Pages30-39
Number of pages10
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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