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dc.date.accessioned | 2019-01-22T20:38:46Z | |
dc.date.available | 2019-01-22T20:38:46Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 0937-9347 | |
dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/148106 | |
dc.description.abstract | © 2018, Springer-Verlag GmbH Austria, part of Springer Nature. Fiber tracking based on diffusion-weighted magnetic resonance imaging data has become an important tool for studying the human brain structure in vivo, but fiber tracking results need verification. The proposed approach makes it possible to verify fiber tracking results using two parameters—the diffusion probability along the fiber segment direction and Shannon entropy. It was demonstrated that the proposed method helps to find invalid connections on simulated phantoms, then the method was applied to fiber tracking results for in vivo single-shell and multishell data. It was found that the proposed method enabled the improvement of the quality of in vivo fiber tracking results. | |
dc.relation.ispartofseries | Applied Magnetic Resonance | |
dc.title | Verification of Diffusion MRI Fiber Tracking Results In Vivo | |
dc.type | Article in Press | |
dc.collection | Публикации сотрудников КФУ | |
dc.source.id | SCOPUS09379347-2018-SID85050909872 |