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.