title: Evaluation of rigid and non-rigid motion compensation of cardiac perfusion MRI.
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.
authors.affiliation: Imaging and Visualization, Siemens Corporate Research, Princeton, NJ, USA. hui.xue@imperial.ac.uk
authors.forename: Hui
authors.initials: H
authors.lastname: Xue
authors.forename: Jens
authors.initials: J
authors.lastname: Guehring
authors.forename: Latha
authors.initials: L
authors.lastname: Srinivasan
authors.forename: Sven
authors.initials: S
authors.lastname: Zuehlsdorff
authors.forename: Kinda
authors.initials: K
authors.lastname: Saddi
authors.forename: Christophe
authors.initials: C
authors.lastname: Chefdhotel
authors.forename: Joseph V
authors.initials: JV
authors.lastname: Hajnal
authors.forename: Daniel
authors.initials: D
authors.lastname: Rueckert
mesh_terms: D000465:Algorithms; D016477:Artifacts; D006352:Heart Ventricles / Q000473:pathology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D009038:Motion; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D018487:Ventricular Dysfunction, Left / Q000175:diagnosis*