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  Multi-modal surface-based alignment of cortical areas using intra-cortical T1 contrast

Tardif, C., Dinse, J., Schäfer, A., Turner, R., & Bazin, P.-L. (2013). Multi-modal surface-based alignment of cortical areas using intra-cortical T1 contrast. In L. Shen, T. Liu, P.-T. Yap, H. Huang, D. Shen, & C.-F. Westin (Eds.), Multimodal brain image analysis (pp. 222-232). Berlin: Springer. doi:10.1007/978-3-319-02126-3_22.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-4F5F-5 Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-002B-CDC3-1
Genre: Konferenzbeitrag

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 Urheber:
Tardif, Christine1, Autor           
Dinse, Juliane1, 2, Autor           
Schäfer, Andreas1, Autor           
Turner, Robert1, Autor           
Bazin, Pierre-Louis1, Autor           
Affiliations:
1Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              
2Faculty of Computer Science, Otto von Guericke University Magdeburg, Germany, ou_persistent22              

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Schlagwörter: Neuroimaging analysis; Multi-modal; Multi-contrast; Surface registration; Cortical areas; Cortical folding; Cortical curvature; Cortical morphometry; Myelin; Quantitative T1; Brain mapping; Group analysis
 Zusammenfassung: The position of cortical areas in the brain is related to cortical folding patterns; however, intersubject variability remains, particularly for higher cortical areas. Current cortical surface registration techniques align cortical folding patterns using sulcal landmarks or cortical curvature, for instance. The alignment of cortical areas by these techniques is thus inherently limited by the sole use of geometric similarity metrics. Magnetic resonance imaging T1 maps show intra-cortical contrast that reflects myelin content, and thus can be used, in addition to cortical geometry, to improve the alignment of cortical areas. In this article, we present a new symmetric diffeomorphic multi-modal surface-based registration technique that works in the level-set framework. We demonstrate that the alignment of cortical areas is improved by using T1 maps. Finally, we present a unique group-average ultra-high resolution T1 map at multiple cortical depths, highlighting the registration accuracy achieved. The method can easily be extended to include other MR contrasts, such as functional data and anatomical connectivity, as well as other neuroimaging modalities.

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Sprache(n): eng - English
 Datum: 2013-06-2620132013
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1007/978-3-319-02126-3_22
 Art des Abschluß: -

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Titel: Multimodal brain image analysis
  Untertitel : Third international workshop, MBIA 2013, held in conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013
Genre der Quelle: Konferenzband
 Urheber:
Shen, Li, Herausgeber
Liu, Tianming, Herausgeber
Yap, Pew-Thian, Herausgeber
Huang, Heng, Herausgeber
Shen, Dinggang, Herausgeber
Westin, Carl-Fredrik, Herausgeber
Affiliations:
-
Ort, Verlag, Ausgabe: Berlin : Springer
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 222 - 232 Identifikator: ISBN: 978-3-319-02125-6