Segmentation of human brain using structural MRI
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8569472
- author
- Helms, Gunther LU
- organization
- publishing date
- 2016
- 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
- pmid:26739264
- 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
- 2016-04-04 08:56:36
- date last changed
- 2022-04-15 21:23:35
@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}}, keywords = {{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}}, doi = {{10.1007/s10334-015-0518-z}}, volume = {{29}}, year = {{2016}}, }