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Evaluation of Rigid and Non-rigid Motion Compensation of Cardiac Perfusion MRI

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

Hui Xue, Jens Guehring, Latha Srinivasan, Sven Zuehlsdorff, Kinda Saddi, Christophe Chefdhotel, Joseph V. Hajnal, Daniel Rueckert

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention – MICCAI 2008
Subtitle of host publication11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part II
PublisherSpringer
Pages35-43
Number of pages9
Volume5242 LNCS
EditionPART 2
DOIs
Publication statusPublished - 2008
Event11th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2008) - New York
Duration: 6 Sep 200810 Sep 2008

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume5242
ISSN (Print)0302-9743

Conference

Conference11th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2008)
CityNew York
Period6/09/200810/09/2008

King's Authors

Abstract

Although the evaluation of cardiac perfusion using MRI could be of crucial importance for the diagnosis of ischemic heart diseases. it is still not a routinely used technique. The major difficulty is that MR perfusion images are often corrupted by inconsistent myocardial motion, Although motion compensation methods have been studied throughout the past decade. no clinically accepted solution has emerged. This is partly due 10 the lack of comprehensive validation. To address this deficit we collected a large multi-centre MR perfusion dataset and used this to characterize typical myocardial motion and confirmed that under clinically relevant conditions motion correction is a frequent requirement (67% of all 586 cases). We then developed a proposed solution which includes both rigid/affine and the non-rigid image, registration. Quantitative validation has been conducted using 6 different statistics to provide a comprehensive evaluation, showing the proposed techniques to be highly robust to different myocardial anatomy and motion patterns as well as to MR imaging acquisition parameters.

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