Robust Graph-Based Tracking Through Crossing Fibre Configurations.

التفاصيل البيبلوغرافية
العنوان: Robust Graph-Based Tracking Through Crossing Fibre Configurations.
المؤلفون: Sotiropoulos, SN, Tench, C, Morgan, P, Bai, L
بيانات النشر: IEEE
سنة النشر: 2016
المجموعة: Oxford University Research Archive (ORA)
الوصف: Graph-based distributed tractography of the brain provides an alternative to streamline approaches. However, graph-based tracking through complex fibre configurations has not been extensively studied and existing methods have inherent limitations. In this study, we discuss these limitations and present a new approach for robustly propagating through fibre crossings, as these are depicted by the Q-ball orientation distribution functions (ODFs). Complex ODFs are decomposed to components representative of single-fibre populations and an appropriate image graph is created. Path strengths are calculated using a modified version of Dijkstra's shortest path algorithm. A comparison with existing methods is performed on simulated and on human Q-ball imaging data. © 2009 IEEE.
نوع الوثيقة: conference object
اللغة: unknown
العلاقة: https://ora.ox.ac.uk/objects/uuid:d538876b-15cc-41ed-9648-6abfcbea21f3Test; https://doi.org/10.1109/ISBI.2009.5193326Test
DOI: 10.1109/ISBI.2009.5193326
الإتاحة: https://doi.org/10.1109/ISBI.2009.5193326Test
https://ora.ox.ac.uk/objects/uuid:d538876b-15cc-41ed-9648-6abfcbea21f3Test
حقوق: info:eu-repo/semantics/embargoedAccess
رقم الانضمام: edsbas.AFCEA3AD
قاعدة البيانات: BASE