BibSonomy :: publication ::

tag user group author concept BibTeX key search:all search:bmeyer

The blue social bookmark and publication sharing system.

entry of bmeyer:

(0)

This publication has not been reviewed yet.

rating distribution

average user rating

The average rating is computed over all reviews. However, some of them may be invisible to you due to the visibility setting chosen by the reviewers.

(0.0 of 5.0 based on 0 reviews)

White Matter Fiber Tracking Method by Vector Interpolation with Diffusion Tensor Imaging Data in Human Brain

by: Xin Zhao, Mingshi Wang, Wei Gao, and Haiying Liu

In: Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the (January 2005) , p. 5786--5789.

Abstract

The directional diffusion information obtained by diffusion tensor magnetic resonance imaging DT-MRI can be used to noninvasively visualize white matter fibers in human brain. And it is the unique way to reconstruct those fibers in vivo. However, there are some obstacles for the reconstruction process, e.g., partial volume effect caused by low spatial resolution negatively affects the DT-MRI results, and continuous fibers are indicated by the discrete signal on the DT-MRI. A fiber tracking algorithm is proposed in this paper. Major eigenvectors and fractional anisotropy FA values of the correlative voxels are used for fiber tracking. As a result, this method shows stronger potential to depict the distribution of white matter fibers in human brain.

Description

Diffusion Tensor Imaging (DTI)

BibTeX record

@inproceedings{Zhao2005,
  abstract = {The directional diffusion information obtained by diffusion tensor
	magnetic resonance imaging (DT-MRI) can be used to noninvasively
	visualize white matter fibers in human brain. And it is the unique
	way to reconstruct those fibers in vivo. However, there are some
	obstacles for the reconstruction process, e.g., partial volume effect
	caused by low spatial resolution negatively affects the DT-MRI results,
	and continuous fibers are indicated by the discrete signal on the
	DT-MRI. A fiber tracking algorithm is proposed in this paper. Major
	eigenvectors and fractional anisotropy (FA) values of the correlative
	voxels are used for fiber tracking. As a result, this method shows
	stronger potential to depict the distribution of white matter fibers
	in human brain.},
  added-at = {2007-01-10T11:43:56.000+0100},
  author = {Zhao, Xin and Wang, Mingshi and Gao, Wei and Liu, Haiying},
  biburl = {http://www.bibsonomy.org/bibtex/25e4592cf807df9fc30756de9afc739c9/bmeyer},
  booktitle = {Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005.
	27th Annual International Conference of the},
  description = {Diffusion Tensor Imaging (DTI)},
  interhash = {d1003901dc6c4dbd1ad7589ea7147815},
  intrahash = {5e4592cf807df9fc30756de9afc739c9},
  keywords = {Diffusion, Tensor DTI Imaging, Diffusion},
  month = {01-04 Sept.},
  owner = {bzfbmeye},
  pages = {5786--5789},
  timestamp = {2007-01-10T11:43:56.000+0100},
  title = {White Matter Fiber Tracking Method by Vector Interpolation with Diffusion
	Tensor Imaging Data in Human Brain},
  year = 2005
}

Endnote record

%0 Conference Paper
%1 Zhao2005
%A Zhao, Xin
%A Wang, Mingshi
%A Gao, Wei
%A Liu, Haiying
%B Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005.
	27th Annual International Conference of the
%D 2005
%K 
%P 5786--5789
%T White Matter Fiber Tracking Method by Vector Interpolation with Diffusion
	Tensor Imaging Data in Human Brain
%X The directional diffusion information obtained by diffusion tensor
	magnetic resonance imaging (DT-MRI) can be used to noninvasively
	visualize white matter fibers in human brain. And it is the unique
	way to reconstruct those fibers in vivo. However, there are some
	obstacles for the reconstruction process, e.g., partial volume effect
	caused by low spatial resolution negatively affects the DT-MRI results,
	and continuous fibers are indicated by the discrete signal on the
	DT-MRI. A fiber tracking algorithm is proposed in this paper. Major
	eigenvectors and fractional anisotropy (FA) values of the correlative
	voxels are used for fiber tracking. As a result, this method shows
	stronger potential to depict the distribution of white matter fibers
	in human brain.