Phase-based non-rigid registration of myocardial perfusion MRI image sequences

Authors:
Lennart Tautz;Anja Hennemuth;Mats Andersson;Achim Seeger;Hans Knutsson;Ola Friman
Affiliations:
Fraunhofer MEVIS Institute for Medical Image Computing, Bremen, Germany;Fraunhofer MEVIS Institute for Medical Image Computing, Bremen, Germany;Linköping University, Linkoping, Sweden;Eberhard Karls University, Tübingen, Germany;Linköping University, Linkoping, Sweden;Fraunhofer MEVIS Institute for Medical Image Computing, Bremen, Germany
Venue:
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Year:
2010

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Abstract

The condition of the heart muscle tissue can be inferred by analyzing the time-intensity curves obtained with myocardial perfusion MRI. Specifically, identifying tissue that is under-supplied with blood is important when choosing a suitable therapy for patients with coronary heart disease. Before an analysis can be carried out, the images must be registered to compensate for cardiac and respiratory motion. This is a difficult problem, as the motion is non-rigid and because the image contrast varies strongly over time due to the injection of a contrast agent into the blood stream. To address these problems, an automatic non-rigid registration approach is presented that utilizes local phase instead of intensity or gradient information.