Versatile, robust, and efficient tractography with constrained higher-order tensor fODFs

Versatile, robust, and efficient tractography with constrained higher-order tensor fODFs 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Computer Assisted Radiology and Surgery Springer Journals

Versatile, robust, and efficient tractography with constrained higher-order tensor fODFs

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Publisher
Springer International Publishing
Copyright
Copyright © 2017 by CARS
Subject
Medicine & Public Health; Imaging / Radiology; Surgery; Health Informatics; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Science, general
ISSN
1861-6410
eISSN
1861-6429
D.O.I.
10.1007/s11548-017-1593-6
Publisher site
See Article on Publisher Site

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