Reference Tracts and Generative Models for Brain White Matter Tractography
Background: Probabilistic neighborhood tractography aims to automatically segment brain white matter tracts from diffusion magnetic resonance imaging (dMRI) data in different individuals. It uses reference tracts as priors for the shape and length of the tract, and matching models that describe typi...
Main Authors: | Susana Muñoz Maniega, Mark E. Bastin, Ian J. Deary, Joanna M. Wardlaw, Jonathan D. Clayden |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-12-01
|
Series: | Journal of Imaging |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-433X/4/1/8 |
Similar Items
-
Diffusion Tensor Imaging Tractography of White Matter Tracts in the Equine Brain
by: Samuel Boucher, et al.
Published: (2020-07-01) -
Spatial Gradient of Microstructural Changes in Normal-Appearing White Matter in Tracts Affected by White Matter Hyperintensities in Older Age
by: Susana Muñoz Maniega, et al.
Published: (2019-07-01) -
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
by: Kurt G. Schilling, et al.
Published: (2021-11-01) -
QuickBundles, a method for tractography simplification
by: Eleftherios eGaryfallidis, et al.
Published: (2012-12-01) -
Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy
by: Anastasia eYendiki, et al.
Published: (2011-10-01)