Comparison of interpolation methods for angular resampling of diffusion weighted images

Diffusion Magnetic Resonance Imaging (DMRI) is an emerging technique permitting to visualize the neuronal architecture of brain white matter by measuring the diffusion of water molecules in tissues. A DMRI acquisition is composed of a collection of diffusion weighted images (DWIs) that characterize the diffusion property in several noncolinear directions. Resampling such acquisitions to obtain measures of diffusion in other directions is a problem that may arise when registering or comparing DWIs. In this paper, we present a comparison of several spherical interpolation schemes for DWIs. Numerical experiments are achieved on both synthetic and real data.