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Brodmann’s Area Template Based Region of Interest Setting and Probabilistic Pathway Map Generation in Diffusion Tensor Tractography: Application to the Arcuate Fasciculus Fiber Tract in the Human…

Overview of attention for article published in Frontiers in Neuroanatomy, January 2016
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Title
Brodmann’s Area Template Based Region of Interest Setting and Probabilistic Pathway Map Generation in Diffusion Tensor Tractography: Application to the Arcuate Fasciculus Fiber Tract in the Human Brain
Published in
Frontiers in Neuroanatomy, January 2016
DOI 10.3389/fnana.2016.00004
Pubmed ID
Authors

Dong-Hoon Lee, Do-Wan Lee, Bong-Soo Han

Abstract

The purpose of this study is to acquire accurate diffusion tensor tractography (DTT) results for arcuate fasciculus (AF) fiber tract using Brodmann's area (BA) template for region of interest (ROI) setting. Thirteen healthy subjects were participated in this study. Fractional anisotropy (FA) map of each subject was calculated using diffusion tensor data, and T1w template was co-registered to FA map. The BA template was also co-registered using the transformation matrix. The ROIs were drawn in the co-registered BA template, and AF fiber tract was extracted. To generate the probabilistic pathway map, a binary mask image was generated based on the fiber tract image and co-registered to T1w template image. We also measured relative location of the AF fiber tract. The location of the probabilistic pathway map of each subject's AF fiber tract was well defined in the brain. By using this probabilistic map, the mediolateral position ratio of AF was measured 18%, and the anteroposterior position ratio of AF was measured 35%, respectively. This study demonstrated that the AF fiber tract can be extracted using BA template for ROI setting and probabilistic pathway of fiber tract. Our results and analytical approaches can helpful for accurate fiber tracking and application of perspective clinical researches.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 19%
Other 2 13%
Lecturer 2 13%
Student > Ph. D. Student 2 13%
Student > Doctoral Student 1 6%
Other 2 13%
Unknown 4 25%
Readers by discipline Count As %
Neuroscience 4 25%
Medicine and Dentistry 3 19%
Social Sciences 1 6%
Agricultural and Biological Sciences 1 6%
Computer Science 1 6%
Other 1 6%
Unknown 5 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 January 2016.
All research outputs
#20,302,535
of 22,840,638 outputs
Outputs from Frontiers in Neuroanatomy
#1,009
of 1,161 outputs
Outputs of similar age
#331,726
of 394,770 outputs
Outputs of similar age from Frontiers in Neuroanatomy
#28
of 33 outputs
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