title: 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.
authors.affiliation: GREYC (CNRS UMR 6072), 6 Bd Maréchal Juin, 14050 Caen, France.
authors.forename: Haz-Edine
authors.initials: HE
authors.lastname: Assemlal
authors.forename: David
authors.initials: D
authors.lastname: Tschumperlé
authors.forename: Luc
authors.initials: L
authors.lastname: Brun
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology*; D003627:Data Interpretation, Statistical; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity