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Efficient Computation of PDF-based Characteristics from Diffusion MR Signal

Abstract : We present a general method for the computation of PDF-based characteristics of the tissue micro-architecture in MR imaging. The approach relies on the approximation of the MR signal by a series expansion based on Spherical Harmonics and Laguerre-Gaussian functions, followed by a simple projection step that is efficiently done in a finite dimensional space. The resulting algorithm is generic, flexible and is able to compute a large set of useful characteristics of the local tissues structure. We illustrate the effectiveness of this approach by showing results on synthetic and real MR datasets acquired in a clinical time-frame.
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Contributor : Haz-Edine Assemlal Connect in order to contact the contributor
Submitted on : Friday, June 12, 2009 - 12:21:27 PM
Last modification on : Saturday, June 25, 2022 - 9:46:14 AM
Long-term archiving on: : Monday, October 22, 2012 - 12:26:04 PM


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  • HAL Id : hal-00329239, version 2


Haz-Edine Assemlal, David Tschumperlé, Luc Brun. Efficient Computation of PDF-based Characteristics from Diffusion MR Signal. Medical Image Computing and Computer-Assisted Intervention, Sep 2008, New-York, United States. pp.70-78. ⟨hal-00329239v2⟩



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