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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