author = {Assemlal, Haz-Edine and Tschumperl'e, David and Brun, Luc}, title = {Efficient Computation of PDF-Based Characteristics from Diffusion MR Signal}, booktitle = {MICCAI '08: Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II}, year = {2008}, isbn = {978-3-540-85989-5}, pages = {70--78}, location = {New York, New York}, doi = {http://dx.doi.org/10.1007/978-3-540-85990-1_9}, publisher = {Springer-Verlag}, address = {Berlin, Heidelberg}, theme = {misc}, 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.", url={pdf:=https://brunl01.users.greyc.fr/ARTICLES/miccai08.pdf,Slides:=https://brunl01.users.greyc.fr/ARTICLES/poster.pdf}