Literature DB >> 25104100

An automated tool for cortical feature analysis: Application to differences on 7 Tesla T2* -weighted images between young and older healthy subjects.

Nhat Trung Doan1, Sanneke van Rooden2,3, Maarten J Versluis2,3, Mathijs Buijs3, Andrew G Webb2,3, Jeroen van der Grond3, Mark A van Buchem2,3, Johan H C Reiber1, Julien Milles1.   

Abstract

PURPOSE: High field T2* -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 T2* -weighted magnitude and phase images.
METHODS: The cerebral cortex was segmented using a combination of T2* -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.
RESULTS: 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.
CONCLUSION: 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. © 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  MR phase; aging; cerebral cortex; iron; myelin; neurodegenerative diseases

Year:  2014        PMID: 25104100     DOI: 10.1002/mrm.25397

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  3 in total

1.  Differential Aging Signals in Abdominal CT Scans.

Authors:  Nikita V Orlov; Sokratis Makrogiannis; Luigi Ferrucci; Ilya G Goldberg
Journal:  Acad Radiol       Date:  2017-09-15       Impact factor: 3.173

Review 2.  Neuroimaging at 7 Tesla: a pictorial narrative review.

Authors:  Tomohisa Okada; Koji Fujimoto; Yasutaka Fushimi; Thai Akasaka; Dinh H D Thuy; Atsushi Shima; Nobukatsu Sawamoto; Naoya Oishi; Zhilin Zhang; Takeshi Funaki; Yuji Nakamoto; Toshiya Murai; Susumu Miyamoto; Ryosuke Takahashi; Tadashi Isa
Journal:  Quant Imaging Med Surg       Date:  2022-06

Review 3.  Fractal frontiers in cardiovascular magnetic resonance: towards clinical implementation.

Authors:  Gabriella Captur; Audrey L Karperien; Chunming Li; Filip Zemrak; Catalina Tobon-Gomez; Xuexin Gao; David A Bluemke; Perry M Elliott; Steffen E Petersen; James C Moon
Journal:  J Cardiovasc Magn Reson       Date:  2015-09-07       Impact factor: 5.364

  3 in total

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