Efficient Computation of PDF-based Characteristics from Diffusion MR Signal

Haz-Edine Assemlal (1) , David Tschumperlé (2) , Luc Brun (2)

1 GREYC - Groupe de Recherche en Informatique, Image et Instrumentation de Caen
2 Equipe Image - Laboratoire GREYC - UMR6072

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.

Mots clés: diffusion MRI; Spherical Polar Fourier; Q-Space

Domaines: Imagerie médicale

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⟩