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Two-Tensor Model-Based Bootstrapping on Classified Tensor Morphologies: Estimation of Uncertainty in Fibre Orientation and Probabilistic Tractography

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dc.contributor.author Nagulan, R.
dc.contributor.author Simmons, A.
dc.contributor.author Bertoni, M.
dc.contributor.author Ali, H.
dc.date.accessioned 2019-10-23T08:16:28Z
dc.date.accessioned 2022-06-27T04:11:18Z
dc.date.available 2019-10-23T08:16:28Z
dc.date.available 2022-06-27T04:11:18Z
dc.date.issued 2013-02
dc.identifier.uri http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1266
dc.description.abstract In this manuscript, fast and clinically feasible model-based bootstrapping algorithms using a geometrically constrained two-tensor diffusion model are employed for estimating uncertainty in fiber orientation. A Monte-Carlo-based tensor morphology voxel classification algorithm is initially applied using single-tensor bootstrap samples before the use of a two-tensor model-based bootstrapping algorithm. Classification of tensor morphologies allows the tensor morphology to be considered when selecting the most appropriate bootstrap procedure. A constrained two-tensor model approach can greatly reduce data acquisition and computational times for whole bootstrap data volume generation compared to other multifiber model techniques, facilitating widespread clinical use. For comparison, we propose a new repetition-bootstrap algorithm based on classified voxels and the constrained two-tensor model. Tractography with these bootstrapping algorithms is also developed to estimate the connection probabilities between brain regions, especially regions with complex fiber configurations. Experimental results on synthetic data, a hardware phantom and human brain data demonstrate the superior performance of our algorithms compared to conventional approaches. en_US
dc.language.iso en_US en_US
dc.publisher ElSEVIER/Megnetic Resonance Imaging en_US
dc.subject Diffusion MR imaging en_US
dc.subject Model-based bootstrapping en_US
dc.subject Constrained two-tensor model en_US
dc.subject Probabilistic tractography en_US
dc.title Two-Tensor Model-Based Bootstrapping on Classified Tensor Morphologies: Estimation of Uncertainty in Fibre Orientation and Probabilistic Tractography en_US
dc.type Article en_US


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