Title
Thalamic Nuclei Segmentation Using Tractography, Population-Specific Priors and Local Fibre Orientation.
Abstract
The thalamus is a deep grey matter structure that plays an important role in propagating nerve impulses between subcortical regions and the cerebral cortex. It is composed of distinct nuclei that have unique long-range connectivity. Accurate thalamic nuclei segmentation provides insights about structural connectivity and the neurodegeneration mechanisms occurring in distinct brain disorders, for instance Alzheimer's disease and Frontotemporal dementia (FTD). In this work, we propose a novel thalamic nuclei segmentation approach that relies on tractography, thalamic nuclei priors and local fibre orientation. Validation was performed in a cohort of healthy controls and FTD patients against other thalamus connectivity-based parcellation methods. Results showed that the proposed strategy led to anatomical plausible thalamic nuclei segmentations and was able to detect connectivity differences between controls and FTD patients.
Year
DOI
Venue
2018
10.1007/978-3-030-00931-1_44
Lecture Notes in Computer Science
Field
DocType
Volume
Thalamus,Population,Grey matter,Pattern recognition,Computer science,Frontotemporal dementia,Neurodegeneration,Artificial intelligence,Cerebral cortex,Prior probability,Tractography
Conference
11072
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
8
9
Name
Order
Citations
PageRank
Carla Semedo100.68
Cardoso M. Jorge26413.70
Sjoerd B Vos392.99
Sudre Carole H.413212.86
Martina Bocchetta5524.19
Annemie Ribbens6162.40
Dirk Smeets741316.61
Jonathan D. Rohrer8415.65
Sébastien Ourselin92499237.61