Myocardial perfusion data registration is challenging because of the inherent contrast variation in addition to cardiac and respiratory motions. Residual Complexity (RC) has been proposed as a new intensity based similarity measure for registration and has been reported to be more robust to contrast variation compared to other minimization indicators. In this work, we proposed a myocardial permeability maps framework with an optimization of a RC-based registration algorithm. We evaluated the performance of this algorithm, in comparison with MOCO and with no correction, on image quality and permeability maps.
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