Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions

We propose an integral concept for tractography to describe crossing and splitting fibre bundles based on the fibre orientation distribution function (ODF) estimated from high angular resolution diffusion imaging (HARDI). We show that in order to perform accurate probabilistic tractography, one need...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on medical imaging 2009-02, Vol.28 (2), p.269-286
Hauptverfasser:	Descoteaux, M., Deriche, R., Knosche, T.R., Anwander, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anatomical connectivity Brain Brain - anatomy & histology Computer Science crossing fibres Deconvolution Diffusion Magnetic Resonance Imaging - methods Diffusion tensor imaging diffusion tensor imaging (DTI) Distribution functions Echo-Planar Imaging - methods fibre tractography high angular resolution diffusion imaging (HARDI) High-resolution imaging Humans Image Enhancement - methods Image Processing, Computer-Assisted - methods Image reconstruction Image resolution Magnetic resonance imaging Medical Imaging Models, Neurological Models, Statistical Nerve Fibers - ultrastructure Normal Distribution orientation distribution function (ODF) q -ball imaging (QBI) Reproducibility of Results Sensitivity and Specificity Signal resolution spherical deconvolution (SD) Tensile stress
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!