Fully Automated Registration of First-Pass Myocardial Perfusion MRI Using Independent Component Analysis

Abstract. This paper presents a novel method for registration of cardiac perfusion MRI. The presented method successfully corrects for breathing motion without any manual interaction using Independent Component Analysis to extract physiologically relevant features together with their time-intensity behavior. A time-varying reference image mimicking intensity changes in the data of interest is computed based on the results of ICA, and used to compute the displacement caused by breathing for each frame. Qualitative and quantitative validation of the method is carried out using 46 clinical quality, short-axis, perfusion MR datasets comprising 100 images each. Validation experiments showed a

• Type: Conference
• Year: 2007
• Where: IPMI
• Authors: Julien Milles, Rob J. van der Geest, Michael Jerosch-Herold, Johan H. C. Reiber, Boudewijn P. F. Lelieveldt
• Keywords: Cardiac Perfusion MRI, Image Mimicking Intensity, IPMI 2007, Medical Imaging, Perfusion Mr