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Performance of unscented Kalman filter tractography in edema: Analysis of the two-tensor model

Crossref DOI link: https://doi.org/10.1016/j.nicl.2017.06.027

Published Print: 2017

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Liao, Ruizhi https://orcid.org/0000-0001-6761-921X
Ning, Lipeng

Chen, Zhenrui

Rigolo, Laura

Gong, Shun

Pasternak, Ofer

Golby, Alexandra J.

Rathi, Yogesh

O’Donnell, Lauren J. https://orcid.org/0000-0003-0197-7801
Funding

Funding for this research was provided by:

NIH (R21CA156943)

NIH (P41EB015898)

NIH (R21NS075728)

NIH (P41EB015902)

NIH (R01MH074794)

NIH (R01MH097979)

NIH (U01CA199459)

NIH (R03NS088301)

Merrill Lynch Fellowship
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Text and Data Mining valid from 2017-01-01

Text and Data Mining valid from 2017-01-01

Version of Record valid from 2017-06-19
More Information

This article is maintained by: Elsevier

Article Title: Performance of unscented Kalman filter tractography in edema: Analysis of the two-tensor model

Journal Title: NeuroImage: Clinical

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.nicl.2017.06.027

Content Type: article

Copyright: © 2017 The Authors. Published by Elsevier Inc.