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. © 2008 Springer Berlin Heidelberg.
CITATION STYLE
Assemlal, H. E., Tschumperlé, D., & Brun, L. (2008). Efficient computation of PDF-based characteristics from diffusion MR signal. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5242 LNCS, pp. 70–78). Springer Verlag. https://doi.org/10.1007/978-3-540-85990-1_9
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