Meeting Banner
Abstract #2973

ASAP: Automatic Software for ASL Processing

Virginia Mato Abad 1 , Pablo Garca-Polo 2,3 , Owen ODaly 4 , Juan Antonio Hernndez-Tamames 1 , and Fernando Zelaya 4

1 LAIMBIO, Universidad Rey Juan Carlos, Mstoles, Madrid, Spain, 2 Martinos Center, MGH, M+Visin Advanced Fellowship, Charlestown, Massachusetts, United States, 3 Center for Biomedical Technology (CTB-UPM), Madrid, Spain, 4 Centre for Neuroimaging Sciences, Institute of Psychiatry, King's College London, London, United Kingdom

In this work, we describe an Automatic Software for ASL Processing (ASAP) that can automatically process several ASL datasets, from their raw image format to a spatially normalised, smoothed (if desired) version and includes options like quantification, skull-stripping, co-registration and partial volume correction. ASAP requires minimal user intervention, minimising the possibility of random and systematic errors, and produces perfusion data that is ready for statistical group analysis.

This abstract and the presentation materials are available to members only; a login is required.

Join Here