Delphine Duclap1,
Benoit Schmitt1, Alice Lebois1, Pamela Guevara2,
Hui Zhang3, Clarisse Longo Dos Santos1, Denis Le Bihan1,
Jean-Franois Mangin1, Cyril Poupon1
1I2BM,
CEA NeuroSpin, Gif-sur-Yvette, France; 2University of Concepcin,
Concepcin, Chile; 3Department of Computer Science and Centre for
Medical Image Computing, University College London, London, United Kingdom
Super-resolution techniques now provide an efficient strategy to improve the spatial resolution of individual diffusion maps. We extended this approach to a population of subjects and proposed a novel half-millimeter isotropic probabilistic atlas of the human brain connectivity, using the ARCHI database acquired in the frame of the European CONNECT connectome project. We demonstrate the efficacy of this approach combining a super-resolution technique based on high density streamline tractography and a robust segmentation technique of the white matter bundles.
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