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.