Factors affecting optical flow performance in tagging magnetic resonance imaging

P. Marquez-Valle, H.B. Kause, A. Fuster, A. Hernàndez-Sabaté, L.M.J. Florack, D. Gil, H.C. Assen, van

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

2 Citations (Scopus)

Abstract

Changes in cardiac deformation patterns are correlated with cardiac pathologies. Deformation can be extracted from tagging Magnetic Resonance Imaging (tMRI) using Optical Flow (OF) techniques. For applications of OF in a clinical setting it is important to assess to what extent the performance of a particular OF method is stable across different clinical acquisition artifacts. This paper presents a statistical validation framework, based on ANOVA, to assess the motion and appearance factors that have the largest influence on OF accuracy drop. In order to validate this framework, we created a database of simulated tMRI data including the most common artifacts of MRI and test three different OF methods, including HARP.
Original languageEnglish
Title of host publicationStatistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges (5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers)
EditorsO. Camara, T. Mansi, M. Pop, K. Rhode, M. Sermesant, A. Young
Place of PublicationHeidelberg
PublisherSpringer
Pages231-238
ISBN (Print)978-3-319-14677-5
DOIs
Publication statusPublished - 2015
Event5th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2014) - Boston, MA, United States
Duration: 18 Sept 201418 Sept 2014

Publication series

NameLecture Notes in Computer Science
Volume8896
ISSN (Print)0302-9743

Workshop

Workshop5th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2014)
Abbreviated titleSTACOM 2014
Country/TerritoryUnited States
CityBoston, MA
Period18/09/1418/09/14
OtherWorkshop held in conjunction with the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2014)

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