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Validation of MRI-Based Fiber-Tracking Results

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Abstract

A new approach to estimating the probability of the fiber-track existence has been developed and validated on the basis of digital phantoms and diffusion-weighted magnetic resonance imaging measurements on human brain. The proposed approach includes two parameters—the local probability of the tract direction and the Shannon entropy. The local probability of the tract direction characterizes how well tracts “fit” the direction information in a voxel. The Shannon entropy characterizes the shape of diffusivity in the voxel. Calculations on digital phantoms and in vivo data showed that the combination of these parameters makes it possible to verify fiber-tracking results.

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Acknowledgements

This research was supported by the Russian Foundation for Basic Research (Project No. 13-02-00925). We are grateful to Prof. J. Hennig, PD. Dr. V. Kiselev, and Dr. M. Reisert from Freiburg University Hospital for providing us with human 3T DW-MRI data and for developing a new version of “DTI&Fibers-Tool” program.

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Authors and Affiliations

  1. Institute of Physics, Kazan Federal University, Kazan, Russia

    K. A. Il’yasov, L. V. Konopleva & O. V. Nedopekin

  2. University Clinic, Kazan Federal University, Kazan, Russia

    K. A. Il’yasov

Authors
  1. K. A. Il’yasov
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  2. L. V. Konopleva
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  3. O. V. Nedopekin
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Correspondence to K. A. Il’yasov.

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Il’yasov, K.A., Konopleva, L.V. & Nedopekin, O.V. Validation of MRI-Based Fiber-Tracking Results. Appl Magn Reson 48, 241–254 (2017). https://doi.org/10.1007/s00723-017-0859-z

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  • DOI: https://doi.org/10.1007/s00723-017-0859-z

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