Fiber Tracking on HARDI Data using Robust ODF Fields

We present a robust method to retrieve neuronal fibers in human brain white matter from high-angular resolution MRI (HARDI datasets). Contrary to classical fiber-tracking techniques done on the traditional 2nd-order tensor model (DTI) which may lead to truncated or biased estimated diffusion directi...

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Bibliographic Details
Main Authors: Assemlal, H.-E., Tschumperle, D., Brun, L.
Format: Conference Proceeding
Language:English
Subjects:
Diffusion MRI
Diffusion tensor imaging
Fiber-tracking
High-resolution imaging
Humans
Image resolution
Image retrieval
Information retrieval
Magnetic resonance imaging
ODF estimation
Rician channels
Robustness
Tensile stress
Variational methods and PDEs
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Summary:We present a robust method to retrieve neuronal fibers in human brain white matter from high-angular resolution MRI (HARDI datasets). Contrary to classical fiber-tracking techniques done on the traditional 2nd-order tensor model (DTI) which may lead to truncated or biased estimated diffusion directions in case of fiber crossing configurations, we propose here a more complex approach based on a variational estimation of orientation diffusion functions (ODF) modeled with spherical harmonics. This kind of model can correctly retrieve multiple fiber directions corresponding to underlying intra-voxel fibers populations. Our technique is able to consider the Rician noise model of the MRI acquisition in order to better estimate the white matter fiber tracks. Results on both synthetic and real human brain white matter HARDI datasets illustrate the effectiveness of the proposed approach.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2007.4379264