Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
363-05-016 ISMRM Abstract

T2-Weighted Contrasts and Manual Editing Significantly Affect FreeSurfer Cortical Morphometry and Clinical Associations

Primary: Analysis Methods - Software Tools
Secondary: Analysis Methods - Segmentation and Detection
363-05-016 · Classification and Analysis in the Brain · Monday, 11 May, 4:10 PM–5:05 PM · Digital Posters Row D
Keywords: Validation Multi-Contrast Cortical thickness Freesurfer Segmentation Quality
Accepted
Haley E Wiskoski 1,2, Summan Zahra1, Juan C Arias1, Scott R French1, Kevin Johnson3, Simeon Smith3, Caleb Boehler4, Raza Mushtaq4, Maria Altbach3,5, Gene E Alexander6,7,8,9, Theodore P Trouard5,6,10,11, Craig C Weinkauf1
1Department of Surgery, University of Arizona, Tucson, United States of America
2Department of Biomedical Engineering, University of Arizona, Tucson, United States of America
3Department of Radiology and Imaging Sciences, University of Arizona, Tucson, United States of America
4Department of Neuroradiology, Barrow Neurological Institute, Phoenix, United States of America
5Biomedical Engineering, University of Arizona, Tucson, United States of America
6Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, United States of America
7Department of Psychology, University of Arizona, Tucson, United States of America
8University of Arizona, Tucson, United States of America
9Arizona Alzheimer's Consortium, Phoenix, United States of America
10Radiology and Imaging Science, University of Arizona, Tucson, United States of America
11BIO5 Research Institute, University of Arizona, Tucson, United States of America
Presenting Author: Haley E Wiskoski

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References

1. Fischl B. FreeSurfer. Neuroimage. 2012;62(2):774-781. doi:10.1016/j.neuroimage.2012.01.021 [doi]
2. Alzheimer’s Disease Neuroimaging Initiative. ADNI. Published 2025. Accessed October 24, 2025. https://adni.loni.usc.edu/data-samples/adni-data/neuroimaging/mri/mri-scanner-protocols/
3. Desikan RS, Ségonne F, Fischl B, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage. 2006;31(3):968-980. doi:10.1016/j.neuroimage.2006.01.021 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/363-05-016