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DC poleHodnotaJazyk
dc.contributor.authorAngelo, Felippe T.
dc.contributor.authorVoltoline, Raphael
dc.contributor.authorGonçalves, Giuliano R.
dc.contributor.authorWu, Shin-Ting
dc.contributor.editorSkala, Václav
dc.date.accessioned2021-08-30T08:45:52Z
dc.date.available2021-08-30T08:45:52Z
dc.date.issued2021
dc.identifier.citationJournal of WSCG. 2021, vol. 29, no. 1-2, p. 29-38.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2021/2021-J-WSCG-1-2.pdf
dc.identifier.urihttp://hdl.handle.net/11025/44946
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectneuroanatomický atlascs
dc.subjectCerebrAcs
dc.subjectatlas Mindboggle 101cs
dc.subjectšablona MNI-ICBM 2009ccs
dc.subjectregistrace obrázkucs
dc.subjectoznačování mozkucs
dc.titleInteractive Individualized Neuroanatomy Labeling for Neuroanatomy Teachingen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedAs the imaging technology and the understanding of neurological disease improve, a solid understanding of neu-roanatomy has become increasingly relevant. Neuroanatomy teaching includes the practice of cadaveric dissectionand neuroanatomy atlases consisting of images of a brain with its labeled structures. However, the natural inter-individual neuroanatomical variability cannot be taken into account. This work addresses the individual grossneuroanatomy atlas that could enrich medical students’ experiences with various individual variations in anatomi-cal landmarks and their spatial relationships. We propose to deform the CerebrA cortical atlas into the individualanatomical magnetic resonance imaging data to increase students’ opportunity to contact normal neuroanatomicalvariations in the early stages of studies. Besides, we include interactive queries on the labels/names of neu-roanatomical structures from an individual neuroanatomical atlas in a 3D space. An implementation on top ofSimpleITK library and VMTK-Neuro software is presented. We generated a series of surface and internal neu-roanatomy maps from 16 test volumes to attest to the potential of the proposed technique in brain labeling. Forthe age group between 10 to 75, there is evidence that the superficial cortical labeling is accurate with the visualassessment of the degree of concordance between the neuroanatomical and label boundaries.en
dc.subject.translatedneuroanatomical atlasen
dc.subject.translatedCerebrAen
dc.subject.translatedMindboggle 101 atlasen
dc.subject.translatedMNI-ICBM2009c templateen
dc.subject.translatedimage-registrationen
dc.subject.translatedbrain labelingen
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2021.29.4
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 29, Number 1-2 (2021)

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  1. DSpace at University of West Bohemia
  2. Publikace ZČU / UWB Publications
  3. Časopisy ZČU / UWB Journals
  4. Journal of WSCG
  5. Volume 29 (2021)
  6. Volume 29, Number 1-2 (2021)