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Abstract #1607

A Connectome-Based Comparison of Diffusion MR Acquisition Schemes

Xavier Gigandet1, Tobias Kober2,3, Patric Hagmann1,4, Leila Cammoun1, Reto Meuli4, Jean-Philippe Thiran1, Gunnar Krueger2

1Signal Processing Laboratory (LTS5), Ecole Polytechnique Fdrale de Lausanne, Lausanne, Switzerland; 2Advanced Clinical Imaging Technology, Siemens Schweiz AG-CIBM, Lausanne, Switzerland; 3Laboratory for Functional and Metabolic Imaging, Ecole Polytechnique Fdrale de Lausanne, Lausanne, Switzerland; 4Department of Radiology, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland

Diffusion MRI has evolved towards an important clinical and research tool. Though clinical routine is mainly using diffusion tensor imaging (DTI) approaches, q-ball imaging (QBI) and diffusion spectrum imaging (DSI) have become often used techniques in research oriented investigations. In this work, we aim at assessing the performance of various diffusion acquisition schemes by comparing the respective whole brain connection matrices. The results from the analysis indicate that (a) all diffusion scans produce a biologically meaningful mapping of the human connectome, and (b) more non-dominant fiber populations, e.g. neighboring association fibers in the 60-90 mm range, are better revealed with more complex diffusion schemes.