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Average Egde Strength (AES)

version 1.0 (430 KB) by Domenico Zacà
Toolbox calculating a metric for retrospective head motion estimation on MRI T1-weighted images

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Updated 09 Feb 2018

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This toolbox is for the computation of Average Edge Strength, aka AES, (1,2) on structural T1-weighted MRI images. AES, which as an index of image blurring, has been seen to correlate with head motion. The AES metric may be used in cross sectional or longitudinal studies to characterize head motion differences in the studied groups, and potentially also used as a nuisanse covariate in statistical models (1). If you used this toolbox in your research, please cite the related papers:
1: Zacà D., Hasson U., Minati L., Jovicich J. A method for retrospective estimation of natural head movement during structural MRI. J Magn Reson Imaging 2018 doi:10.1002/jmri.25959
2: Aksoy M, et al. Hybrid prospective and retrospective head motion correction to mitigate cross-calibration errors. Magn Reson Med 2012;67(5):1237-1251

Cite As

Domenico Zacà (2020). Average Egde Strength (AES) (https://www.mathworks.com/matlabcentral/fileexchange/66002-average-egde-strength-aes), MATLAB Central File Exchange. Retrieved .

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1.0

Modified Description

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
Windows macOS Linux

AES_toolbox_1.0/

AES_toolbox_1.0/NIfTI_20140122/