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

Authors:
Hui Xue;Jens Guehring;Latha Srinivasan;Sven Zuehlsdorff;Kinda Saddi;Christophe Chefdhotel;Joseph V. Hajnal;Daniel Rueckert
Affiliations:
Imaging and Visualization, Siemens Corporate Research, Princeton, USA and Imaging Sciences Department, Imperial College, London, UK W12 0NN and Department of Computing, Imperial College, London, U ...;Imaging and Visualization, Siemens Corporate Research, Princeton, USA;Imaging Sciences Department, Imperial College, London, UK W12 0NN;MR Research and Development, Siemens Medical Solutions USA, Inc., Chicago, USA;Imaging and Visualization, Siemens Corporate Research, Princeton, USA;Imaging and Visualization, Siemens Corporate Research, Princeton, USA;Imaging Sciences Department, Imperial College, London, UK W12 0NN;Department of Computing, Imperial College, London, UK SW7 2BZ
Venue:
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Year:
2008

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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 to 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.