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Abstract #3154

Towards Probabilistic Atlases of the T1/T2 Relaxation Times from the CONNECT/ARCHI Database

Alice Lebois1, Delphine Duclap1, Benoit Schmitt1, Clarisse Longo Dos Santos1, Pamela Guevara2, Hui Zhang3, Denis Le Bihan1, Jean-Franois Mangin1, Cyril Poupon1

1I2BM, CEA-NeuroSpin, Gif-Sur-Yvette, France, France; 2University of Concepcion, Concepcion, Chile, Chile; 3Department of Computer Science and Centre for Medical Image Computing, University College of London, London, United Kingdom

This work is focused on the construction of two probabilistic atlases of the quantitative T1 and T2 parameters of the human brain from the relaxometry data of the CONNECT/ARCHI database, an open MRI database of 79 healthy subjects built under the framework of the European CONNECT project which aims at inferring the connectome atlas of the human brain from functional and anatomical MRI data at 3T. We combined these atlases to density maps of the major white matter bundles we extracted from the diffusion data of the 79 subjects to compute the average T1/T2 relaxation times for each bundle.