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Diffusion Propagator Estimation from Sparse Measurements in a Tractography Framework

Institution:
1Harvard Medical School, Boston, MA, USA.
2Department of Electrical Engineering, University of Waterloo, Canada.
Publisher:
Int Conf Med Image Comput Comput Assist Interv. MICCAI 2013
Publication Date:
Sep-2013
Volume Number:
16
Issue Number:
Pt 3
Pages:
510-7
Citation:
Int Conf Med Image Comput Comput Assist Interv. 2013 Sep;16(Pt 3):510-7.
PubMed ID:
24505800
PMCID:
PMC4103161
Appears in Collections:
NA-MIC, LMI, NAC, SPL
Sponsors:
R01 MH097979/MH/NIMH NIH HHS/United States
R01 MH074794/MH/NIMH NIH HHS/United States
P41 EB015902/EB/NIBIB NIH HHS/United States
P41 RR013218/RR/NCRR NIH HHS/United States
VR grant 2012-3682
Generated Citation:
Rathi Y., Gagoski B., Setsompop K., Michailovich O., Grant P.E., Westin C-F. Diffusion Propagator Estimation from Sparse Measurements in a Tractography Framework. Int Conf Med Image Comput Comput Assist Interv. 2013 Sep;16(Pt 3):510-7. PMID: 24505800. PMCID: PMC4103161.
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Estimation of the diffusion propagator from a sparse set of diffusion MRI (dMRI) measurements is a field of active research. Sparse reconstruction methods propose to reduce scan time and are particularly suitable for scanning un-cooperative patients. Recent work on reconstructing the diffusion signal from very few measurements using compressed sensing based techniques has focussed on propagator (or signal) estimation at each voxel independently. However, the goal of many neuroscience studies is to use tractography to study the pathology in white matter fiber tracts. Thus, in this work, we propose a joint framework for robust estimation of the diffusion propagator from sparse measurements while simultaneously tracing the white matter tracts. We propose to use a novel multi-tensor model of diffusion which incorporates the biexponential radial decay of the signal. Our preliminary results on in-vivo data show that the proposed method produces consistent and reliable fiber tracts from very few gradient directions while simultaneously estimating the bi-exponential decay of the diffusion propagator.

Additional Material
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Rathi-MICCAI2013-fig2.jpg (89.371kB)