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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