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Cited 56 time in webofscience Cited 59 time in scopus
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Super-resolution track-density imaging of thalamic substructures: Comparison with high-resolution anatomical magnetic resonance imaging at 7.0T

Authors
Calamante, FernandoOh, Se-HongTournier, Jacques-DonaldPark, Sung-YeonSon, Young-DonChung, Jun-YoungChi, Je-GeunJackson, Graeme D.Park, Chan-WoongKim, Young-BoConnelly, AlanCho, Zang-Hee
Issue Date
Oct-2013
Publisher
WILEY
Keywords
thalamus; thalamus substructures; track-density imaging; TDI; 7.0T MRI; diffusion weighted imaging
Citation
HUMAN BRAIN MAPPING, v.34, no.10, pp.2538 - 2548
Journal Title
HUMAN BRAIN MAPPING
Volume
34
Number
10
Start Page
2538
End Page
2548
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/14277
DOI
10.1002/hbm.22083
ISSN
1065-9471
Abstract
The thalamus is one of the most important brain structures, with strong connections between subcortical and cortical areas of the brain. Most of the incoming information to the cortex passes through the thalamus. Accurate identification of substructures of the thalamus is therefore of great importance for the understanding of human brain connectivity. Direct visualization of thalamic substructures, however, is not easily achieved with currently available magnetic resonance imaging (MRI), including ultra-high field MRI such as 7.0T, mainly due to the limited contrast between the relevant structures. Recently, improvements in ultra-high field 7.0T MRI have opened the possibility of observing thalamic substructures by well-adjusted high-resolution T-1-weighted imaging. Moreover, the recently developed super-resolution track-density imaging (TDI) technique, based on results from whole-brain fiber-tracking, produces images with sub-millimeter resolution. These two methods enable us to show markedly improved anatomical detail of the substructures of the thalamus, including their detailed locations and directionality. In this study, we demonstrate the role of TDI for the visualization of the substructures of the thalamic nuclei, and relate these images to T-1-weighted imaging at 7.0T MRI. Hum Brain Mapp 34:2538-2548, 2013. (c) 2012 Wiley Periodicals, Inc.
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