An automated tool for cortical feature analysis: Application to differences on 7 Tesla T-2(*)-weighted images between young and older healthy subjects

作者:Nhat Trung Doan*; 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
来源:Magnetic Resonance in Medicine, 2015, 74(1): 240-248.
DOI:10.1002/mrm.25397

摘要

PurposeHigh field T-2(*)-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-2(*)-weighted magnitude and phase images. MethodsThe cerebral cortex was segmented using a combination of T-2(*)-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. ResultsUsing 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. ConclusionThe 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.

  • 出版日期2015-7