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Abstract #1564

A multi-shell self-calibrating Richardson-Lucy deconvolution approach for the simultaneous quantification of ODF and tissue properties of different diffusion domains in the kidneys.

Alberto De Luca1, Martijn Froeling2, and Alexander Leemans1

1Image Sciences Institute, UMC Utrecht and University Utrecht, Utrecht, Netherlands, 2Department of Radiology, UMC Utrecht, Utrecht, Netherlands

The advent of multi-shell diffusion MRI (dMRI) offers a viable substrate to apply deconvolution profiles in tissues characterized by partial volume of multiple diffusion domains, as the kidneys. In this work we present a modified damped Richardson-Lucy (mdRL) algorithm to perform spherical deconvolution over multiple diffusion domains. This method does not need to define a prior response function, which is dynamically estimated for each voxel, and allows to compute a fiber orientation distribution as well as relevant scalar metrics, as mean diffusivity and fractional anisotropy, for each diffusion domain. Applicability on two sample datasets is demonstrated as proof of concept.

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