Efficient Computation of PDF-Based Characteristics from Diffusion MR Signal

Abstract. We present a general method for the computation of PDFbased 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.

• Type: Conference
• Year: 2008
• Where: MICCAI
• Authors: David Tschumperlé, Haz-Edine Assemlal, Luc Brun
• Keywords: Medical Imaging, MICCAI 2008, MR Signal, Real Mr Datasets, Simple Projection Step