An automated tool for cortical feature analysis: Application to differences on 7 Tesla T2*‐weighted images between young and older healthy subjects. Issue 1 (7th August 2014)
- Record Type:
- Journal Article
- Title:
- An automated tool for cortical feature analysis: Application to differences on 7 Tesla T2*‐weighted images between young and older healthy subjects. Issue 1 (7th August 2014)
- Main Title:
- An automated tool for cortical feature analysis: Application to differences on 7 Tesla T2*‐weighted images between young and older healthy subjects
- Authors:
- Doan, Nhat Trung
van Rooden, Sanneke
Versluis, Maarten J.
Buijs, Mathijs
Webb, Andrew G.
van der Grond, Jeroen
van Buchem, Mark A.
Reiber, Johan H.C.
Milles, Julien - Abstract:
- <abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="mrm25397-sec-0001" sec-type="section"> <title>Purpose</title> <p>High field T<sub>2</sub><sup>*</sup>‐weighted MR images of the cerebral cortex are increasingly used to study tissue susceptibility changes related to aging or pathologies. This paper presents a novel automated method for the computation of quantitative cortical measures and group‐wise comparison using 7 Tesla T<sub>2</sub><sup>*</sup>‐weighted magnitude and phase images.</p> </sec> <sec id="mrm25397-sec-0002" sec-type="section"> <title>Methods</title> <p>The cerebral cortex was segmented using a combination of T<sub>2</sub><sup>*</sup>‐weighted magnitude and phase information and subsequently was parcellated based on an anatomical atlas. Local gray matter (GM)/white matter (WM) contrast and cortical profiles, which depict the magnitude or phase variation across the cortex, were computed from the magnitude and phase images in each parcellated region and further used for group‐wise comparison. Differences in local GM/WM contrast were assessed using linear regression analysis. Regional cortical profiles were compared both globally and locally using permutation testing. The method was applied to compare a group of 10 young volunteers with a group of 15 older subjects.</p> </sec> <sec id="mrm25397-sec-0003" sec-type="section"> <title>Results</title> <p>Using local GM/WM contrast, significant differences were revealed in<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="mrm25397-sec-0001" sec-type="section"> <title>Purpose</title> <p>High field T<sub>2</sub><sup>*</sup>‐weighted MR images of the cerebral cortex are increasingly used to study tissue susceptibility changes related to aging or pathologies. This paper presents a novel automated method for the computation of quantitative cortical measures and group‐wise comparison using 7 Tesla T<sub>2</sub><sup>*</sup>‐weighted magnitude and phase images.</p> </sec> <sec id="mrm25397-sec-0002" sec-type="section"> <title>Methods</title> <p>The cerebral cortex was segmented using a combination of T<sub>2</sub><sup>*</sup>‐weighted magnitude and phase information and subsequently was parcellated based on an anatomical atlas. Local gray matter (GM)/white matter (WM) contrast and cortical profiles, which depict the magnitude or phase variation across the cortex, were computed from the magnitude and phase images in each parcellated region and further used for group‐wise comparison. Differences in local GM/WM contrast were assessed using linear regression analysis. Regional cortical profiles were compared both globally and locally using permutation testing. The method was applied to compare a group of 10 young volunteers with a group of 15 older subjects.</p> </sec> <sec id="mrm25397-sec-0003" sec-type="section"> <title>Results</title> <p>Using local GM/WM contrast, significant differences were revealed in at least 13 of 17 studied regions. Highly significant differences between cortical profiles were shown in all regions.</p> </sec> <sec id="mrm25397-sec-0004" sec-type="section"> <title>Conclusion</title> <p>The proposed method can be a useful tool for studying cortical changes in normal aging and potentially in neurodegenerative diseases. Magn Reson Med 74:240–248, 2015. © 2014 Wiley Periodicals, Inc.</p> </sec> </abstract> … (more)
- Is Part Of:
- Magnetic resonance in medicine. Volume 74:Issue 1(2015:Jul.)
- Journal:
- Magnetic resonance in medicine
- Issue:
- Volume 74:Issue 1(2015:Jul.)
- Issue Display:
- Volume 74, Issue 1 (2015)
- Year:
- 2015
- Volume:
- 74
- Issue:
- 1
- Issue Sort Value:
- 2015-0074-0001-0000
- Page Start:
- 240
- Page End:
- 248
- Publication Date:
- 2014-08-07
- Subjects:
- Nuclear magnetic resonance -- Periodicals
Electron paramagnetic resonance -- Periodicals
616.07548 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1522-2594 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/mrm.25397 ↗
- Languages:
- English
- ISSNs:
- 0740-3194
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5337.798000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4256.xml