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

Hui Xue1, 2, 3 Contact Information, Jens GuehringContact Information, Latha SrinivasanContact Information, Sven ZuehlsdorffContact Information, Kinda SaddiContact Information, Christophe ChefdhotelContact Information, Joseph V. HajnalContact Information and Daniel RueckertContact Information

(1)  Imaging and Visualization, Siemens Corporate Research, Princeton, NJ, USA
(2)  Imaging Sciences Department, Imperial College, London, Du cane Road, W12 0NN, UK
(3)  Department of Computing, Imperial College, London, 180 Queen’s Gate, SW7 2BZ, UK
(4)  MR Research and Development, Siemens Medical Solutions USA, Inc., Chicago, IL, USA
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.
Electronic Supplementary Material  Electronic supplementary material is available for this chapter (10.1007/978-3-540-85990-1_5).

Contact Information Hui Xue
Email: hui.xue@imperial.ac.uk

Contact Information Jens Guehring
Email: jens.guehring@siemens.com

Contact Information Latha Srinivasan
Email: l.srinivasan@imperial.ac.uk

Contact Information Sven Zuehlsdorff
Email: sven.zuehlsdorff@siemens.com

Contact Information Kinda Saddi
Email: kinda.saddi@siemens.com

Contact Information Christophe Chefdhotel
Email: christophe.chefdhotel@siemens.com

Contact Information Joseph V. Hajnal
Email: jo.hajnal@imperial.ac.uk

Contact Information Daniel Rueckert
Email: d.rueckert@imperial.ac.uk
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