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Abstract #4563

3D Registration of Background-Suppressed ASL Data based on Brain Contours

Giacomo Tarroni 1 , Marco Castellaro 1 , Carlo Boffano 2 , Maria Grazia Bruzzone 2 , Alessandra Bertoldo 1 , and Enrico Grisan 1

1 Department of Information Engineering, University of Padova, Padova, Italy, 2 Neuroradiology Department, IRCCS Foundation Neurological Institute "C. Besta", Milano, Italy

Motion correction in Arterial Spin Labelling (ASL) is essential to accurately assess brain perfusion. The combination of ASL with background suppression determines a non-uniform magnetization, potentially hindering the application of conventional intensity-based registration methods. Accordingly, a motion correction technique based only on brain contour points is presented and tested on control and tagged acquisitions. The technique relies on image segmentation (to extract brain contour points) and on the iterative closest point algorithm (to estimate the roto-translation required to align them). Error metrics between contours manually traced on reference, moving and corrected volumes show the accuracy of the proposed registration technique.

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