Kazan Federal University Digital Repository

Validation of MRI-Based Fiber-Tracking Results

Show simple item record

dc.contributor.author Il’yasov K.
dc.contributor.author Konopleva L.
dc.contributor.author Nedopekin O.
dc.date.accessioned 2018-09-19T20:41:02Z
dc.date.available 2018-09-19T20:41:02Z
dc.date.issued 2017
dc.identifier.issn 0937-9347
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/143131
dc.description.abstract © 2017, Springer-Verlag Wien.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.
dc.relation.ispartofseries Applied Magnetic Resonance
dc.title Validation of MRI-Based Fiber-Tracking Results
dc.type Article
dc.relation.ispartofseries-issue 3
dc.relation.ispartofseries-volume 48
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 241
dc.source.id SCOPUS09379347-2017-48-3-SID85012202998


Files in this item

This item appears in the following Collection(s)

  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics