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Abstract #4511

Tractography of Richardson-Lucy Spherical Deconvolution under Rician noise of Sparse Multiple q-shell Diffusion Imaging

Ping-Hong Yeh 1 , Erick Jorge Canales- Rodrguez 2 , John Morissette 3 , Arman A. Taheri 3 , Li-Wei Kuo 4 , Fang-Cheng Yeh 5 , Wei Lui 3 , John Ollinger 3 , Terrence Oakes 3 , Mark L. Ettenhofer 6 , and Gerard Riedy 3

1 Henry Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States, 2 FIDMAG Research Foundation, Germanes Hospitalaries and CIBERSAM, Barcelona, Spain, 3 National Intrepid Center of Excellence, Walter Reed National Military Medical Center, MD, United States, 4 National Health Research Institutes, Taiwan, 5 Carnegie Mellon University, PA, United States, 6 Uniformed Services University of the Health Sciences, MD, United States

A variant of Richardson-Lucy (RL) spherical deconvolution (SD) algorithm modeling Rician noise from high angular resolution diffusion imaging (HARDI) data has been shown efficient in recovering the fiber orientation distribution in the low and medium SNR range. We evaluate the performance of RL_SD reconstruction on undersampled multiple q-shell HARDI data acquired by a clinical 3T MR scanner within an acceptable time frame (< 15 minutes).

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