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Segmentation of human brain using structural MRI

Helms, Gunther LU (2016) In Magma 29(2).
Abstract
Segmentation of human brain using structural MRI is a key step of processing in imaging neuroscience. The methods have undergone a rapid development in the past two decades and are now widely available. This non-technical review aims at providing an overview and basic understanding of the most common software.

Starting with the basis of structural MRI contrast in brain and imaging protocols, the concepts of voxel-based and surface-based segmentation are discussed. Special emphasis is given to the typical contrast features and morphological constraints of cortical and sub-cortical grey matter. Besides the use for voxel-based morphometry, basic applications in quantitative MRI, cortical thickness estimations, and atrophy... (More)
Segmentation of human brain using structural MRI is a key step of processing in imaging neuroscience. The methods have undergone a rapid development in the past two decades and are now widely available. This non-technical review aims at providing an overview and basic understanding of the most common software.

Starting with the basis of structural MRI contrast in brain and imaging protocols, the concepts of voxel-based and surface-based segmentation are discussed. Special emphasis is given to the typical contrast features and morphological constraints of cortical and sub-cortical grey matter. Besides the use for voxel-based morphometry, basic applications in quantitative MRI, cortical thickness estimations, and atrophy measurements as well as assignment of cortical regions and deep brain nuclei are briefly discussed. Finally, some fields for clinical applications are given. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Brain Segmentation MRI Morphometry · Cortical thickness
in
Magma
volume
29
issue
2
publisher
Springer
external identifiers
  • scopus:84953280821
  • pmid:26739264
  • wos:000374308900003
ISSN
1352-8661
DOI
10.1007/s10334-015-0518-z
language
English
LU publication?
yes
id
3c558da4-222c-4142-9f70-882d18d484a3 (old id 8569472)
date added to LUP
2016-02-27 01:05:55
date last changed
2017-11-19 04:19:23
@article{3c558da4-222c-4142-9f70-882d18d484a3,
  abstract     = {Segmentation of human brain using structural MRI is a key step of processing in imaging neuroscience. The methods have undergone a rapid development in the past two decades and are now widely available. This non-technical review aims at providing an overview and basic understanding of the most common software. <br/><br>
Starting with the basis of structural MRI contrast in brain and imaging protocols, the concepts of voxel-based and surface-based segmentation are discussed. Special emphasis is given to the typical contrast features and morphological constraints of cortical and sub-cortical grey matter. Besides the use for voxel-based morphometry, basic applications in quantitative MRI, cortical thickness estimations, and atrophy measurements as well as assignment of cortical regions and deep brain nuclei are briefly discussed. Finally, some fields for clinical applications are given.},
  author       = {Helms, Gunther},
  issn         = {1352-8661},
  keyword      = {Brain Segmentation MRI Morphometry · Cortical thickness},
  language     = {eng},
  number       = {2},
  publisher    = {Springer},
  series       = {Magma},
  title        = {Segmentation of human brain using structural MRI},
  url          = {http://dx.doi.org/10.1007/s10334-015-0518-z},
  volume       = {29},
  year         = {2016},
}