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Abstract #3814

Addressing multi-centre image registration of 3T arterial spin labeling images from the GENetic Frontotemporal dementia Initiative (GENFI)

Henk Mutsaerts1, David Thomas2, Jan Petr3, Enrico de Vita2, David Cash2, Matthias Van Osch4, Paul Groot5, John Van Swieten6, Robert Laforce Jr7, Fabrizio Tagliavini8, Barbara Borroni9, Daniela Galimberti8, James Rowe10, Caroline Graff11, Giovanni Frisoni9, Elizabeth Finger12, Sandro Sorbi13, Alexandre Mendonça14, Martin Rossor2, Jonathan Rohrer2, Mario Masellis1, and Bradley MacIntosh1

1Sunnybrook Research Institute, Toronto, ON, Canada, 2London, United Kingdom, 3Dresden, Germany, 4Leiden, Netherlands, 5Amsterdam, Netherlands, 6Rotterdam, Netherlands, 7Quebec City, QC, Canada, 8Milan, Italy, 9Brescia, Italy, 10Cambridge, United Kingdom, 11Stockholm, Sweden, 12London, ON, Canada, 13Florence, Italy, 14Lisbon, Portugal

One obstacle in multi-centre arterial spin labeling (ASL) studies is the variability attributed to differences between vendor- or site-specific ASL implementations. This multi-centre study compares spatial registration methods from ASL to 3D-T1, to reduce the between-subject variability of cerebral blood flow (CBF) maps. Our results demonstrate that choices of image registration have profound effects on ASL data collected using different pulse sequences and/or sites. A rigid-body registration of CBF images to segmented gray matter images produced the most robust similarity outcome as a standard approach across the different ASL implementations.

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