Robust Non-Rigid Motion Compensation of Free-Breathing Myocardial Perfusion MRI Data

摘要: Kinetic parameter values, such as myocardial perfusion, can be quantified from dynamic contrast-enhanced magnetic resonance imaging data using tracer-kinetic modeling. However, respiratory motion affects the accuracy of this process. Motion compensation image series is difficult due to rapid local signal enhancement caused by passing gadolinium-based contrast agent. This invalidates assumptions (global) cost functions traditionally used in intensity-based registrations. The algorithms are unable distinguish whether differences intensity between frames spatial artifacts or enhancement. In order address problem, a fully automated scheme proposed, which consists two stages. first uses robust principal component analysis (PCA) separate baseline signal, before refinement stage traditional PCA construct synthetic reference that free but preserves Validation performed on 18 subjects acquired free-breathing and 5 clinical with breath-hold. validation assesses visual quality, temporal smoothness tissue curves, clinically relevant quantitative perfusion values. expert observers score quality increased mean 1.58/5 after improvement over previously published methods. proposed also leads improved performance compensated [30% reduction coefficient variation across maps 53% variations (p < 0.001)].