Print Email Facebook Twitter Reliable Dual Tensor Model Estimation in Single and Crossing Fibers Based on Jeffreys Prior Title Reliable Dual Tensor Model Estimation in Single and Crossing Fibers Based on Jeffreys Prior Author Yang, J. (TU Delft ImPhys/Quantitative Imaging) Poot, D.H.J. (TU Delft ImPhys/Quantitative Imaging) Caan, Matthan WA (Amsterdam UMC) Su, Tanja (Amsterdam UMC) Majoie, Charles BLM (Amsterdam UMC) van Vliet, L.J. (TU Delft ImPhys/Quantitative Imaging) Vos, F.M. (TU Delft ImPhys/Quantitative Imaging) Date 2016 Abstract PurposeThis paper presents and studies a framework for reliable modeling of diffusion MRI using a data-acquisition adaptive prior.MethodsAutomated relevance determination estimates the mean of the posterior distribution of a rank-2 dual tensor model exploiting Jeffreys prior (JARD). This data-acquisition prior is based on the Fisher information matrix and enables the assessment whether two tensors are mandatory to describe the data. The method is compared to Maximum Likelihood Estimation (MLE) of the dual tensor model and to FSL’s ball-and-stick approach.ResultsMonte Carlo experiments demonstrated that JARD’s volume fractions correlated well with the ground truth for single and crossing fiber configurations. In single fiber configurations JARD automatically reduced the volume fraction of one compartment to (almost) zero. The variance in fractional anisotropy (FA) of the main tensor component was thereby reduced compared to MLE. JARD and MLE gave a comparable outcome in data simulating crossing fibers. On brain data, JARD yielded a smaller spread in FA along the corpus callosum compared to MLE. Tract-based spatial statistics demonstrated a higher sensitivity in detecting age-related white matter atrophy using JARD compared to both MLE and the ball-and-stick approach.ConclusionsThe proposed framework offers accurate and precise estimation of diffusion properties in single and dual fiber regions. To reference this document use: http://resolver.tudelft.nl/uuid:a4052786-894c-40bb-a15a-740ab43b14d8 DOI https://doi.org/10.1371/journal.pone.0164336 ISSN 1932-6203 Source PLoS ONE, 11 (10) Part of collection Institutional Repository Document type journal article Rights © 2016 J. Yang, D.H.J. Poot, Matthan WA Caan, Tanja Su, Charles BLM Majoie, L.J. van Vliet, F.M. Vos Files PDF journal.pone.0164336.pdf 5.82 MB Close viewer /islandora/object/uuid:a4052786-894c-40bb-a15a-740ab43b14d8/datastream/OBJ/view