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Development of a high angular resolu...

Varentsova, Anna.

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Development of a high angular resolution diffusion imaging template and probabilistic connectivity-based atlas of the human brain.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Development of a high angular resolution diffusion imaging template and probabilistic connectivity-based atlas of the human brain./
Author:	Varentsova, Anna.
Description:	107 p.
Notes:	Source: Dissertation Abstracts International, Volume: 77-11(E), Section: B.
Contained By:	Dissertation Abstracts International77-11B(E).
Subject:	Medical imaging. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10133642
ISBN:	9781339922171

Development of a high angular resolution diffusion imaging template and probabilistic connectivity-based atlas of the human brain.
Varentsova, Anna.

Development of a high angular resolution diffusion imaging template and probabilistic connectivity-based atlas of the human brain. - 107 p.

Source: Dissertation Abstracts International, Volume: 77-11(E), Section: B.

Thesis (Ph.D.)--Illinois Institute of Technology, 2016.

Digital human brain atlases consisting of MRI-based templates and semantic labels delineating different brain regions serve a critical role in neuroimaging, mainly facilitating spatial normalization and automated segmentation for the purposes of voxel-wise, region-of-interest, and network analyses.

ISBN: 9781339922171Subjects--Topical Terms:

3172799
Medical imaging.

Development of a high angular resolution diffusion imaging template and probabilistic connectivity-based atlas of the human brain.
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020 $a 9781339922171
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100 1 $a Varentsova, Anna. $3 3194209
245 1 0 $a Development of a high angular resolution diffusion imaging template and probabilistic connectivity-based atlas of the human brain.
300 $a 107 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-11(E), Section: B.
500 $a Adviser: Konstantinos Arfanakis.
502 $a Thesis (Ph.D.)--Illinois Institute of Technology, 2016.
520 $a Digital human brain atlases consisting of MRI-based templates and semantic labels delineating different brain regions serve a critical role in neuroimaging, mainly facilitating spatial normalization and automated segmentation for the purposes of voxel-wise, region-of-interest, and network analyses.
520 $a Diffusion MRI templates contain rich information about the microstructure of the brain, however the accuracy of templates constructed based on the diffusion tensor imaging (DTI) model is limited in regions with complex neuronal microarchitecture. High angular resolution diffusion imaging (HARDI) overcomes limitations of the DTI model and is capable of resolving intravoxel heterogeneity. In this work a method to develop artifact-free HARDI template of the human brain from low angular resolution data is presented.
520 $a Existing white matter (WM) atlases have been generated either based on anatomical landmarks, thus mixing tracts with substantially different roles, or using DTI tractography, which fails in regions with crossing fibers. Connectivity-based atlases developed using HARDI templates and probabilistic tractography have potential to identify functionally distinct subregions of the brain. This work presents connectivity-based atlas of human brain WM created using HARDI template in ICBM-152 space and a set of FreeSurfer grey matter labels.
590 $a School code: 0091.
650 4 $a Medical imaging. $3 3172799
650 4 $a Biomedical engineering. $3 535387
650 4 $a Neurosciences. $3 588700
690 $a 0574
690 $a 0541
690 $a 0317
710 2 $a Illinois Institute of Technology. $b Physics. $3 3193355
773 0 $t Dissertation Abstracts International $g 77-11B(E).
790 $a 0091
791 $a Ph.D.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10133642