Int J CARS (2017) 12:1257–1270 DOI 10.1007/s11548-017-1593-6 ORIGINAL ARTICLE Versatile, robust, and efﬁcient tractography with constrained higher-order tensor fODFs 1 2 3 1 Michael Ankele · Lek-Heng Lim · Samuel Groeschel · Thomas Schultz Received: 2 February 2017 / Accepted: 19 April 2017 / Published online: 29 April 2017 © CARS 2017 Abstract simulated data with known ground truth, and plausible results Purpose Develop a multi-ﬁber tractography method that on clinical data. In addition to working with the same data produces fast and robust results based on input data from a as previous methods for multi-tissue deconvolution, it also wide range of diffusion MRI protocols, including high angu- supports DSI data. lar resolution diffusion imaging, multi-shell imaging, and clinical diffusion spectrum imaging (DSI) Keywords Diffusion imaging · Fiber tracking · Constrained Methods In a uniﬁed deconvolution framework for different spherical deconvolution · Higher-order tensors · SHORE types of diffusion MRI protocols, we represent ﬁber orien- tation distribution functions as higher-order tensors, which Introduction permits use of a novel positive deﬁniteness constraint (H- psd) that makes estimation from noisy input more robust. The Tractography algorithms reconstruct the trajectories of major resulting directions are used for deterministic ﬁber tracking ﬁber bundles
International Journal of Computer Assisted Radiology and Surgery – Springer Journals
Published: Apr 29, 2017
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