Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
464-05-008 ISMRM Abstract

Evaluating Region- and Age-Dependent Performance of Frangi Vesselness Filtering for Perivascular Space Segmentation

Primary: Analysis Methods - Segmentation and Detection
Secondary: Analysis Methods - Image Enhancement
464-05-008 · MR-Based Quantitative Image and Image Processing · Tuesday, 12 May, 4:00 PM–4:55 PM · Digital Posters Row E
Keywords: Aging Perivascular spaces Glymphatic system
Accepted
Ho-Ching Yang 1, Aibo Wang1, Steven P Broglio2, Michael A McCrea3, Thomas W McAllister4, Yu-Chien Wu1
1Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, United States of America
2Michigan Concussion Center, University of Michigan, Ann Arbor, United States of America
3Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, United States of America
4Department of Psychiatry, Indiana University School of Medicine, Indianapolis, United States of America
Presenting Author: Ho-Ching Yang

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References

1. Gertje, E. C., van Westen, D., Panizo, C., Mattsson-Carlgren, N. & Hansson, O. Association of enlarged perivascular spaces and measures of small vessel and Alzheimer disease. Neurology 96, e193-e202 (2021). doi: 10.1212/WNL.0000000000011046 [doi]
2. Barisano, G., Lynch, K. M., Sibilia, F., Lan, H., Shih, N.-C., Sepehrband, F. & Choupan, J. Imaging perivascular space structure and function using brain MRI. Neuroimage 257, 119329 (2022). doi: 10.1016/j.neuroimage.2022.119329 [doi]
3. Lynch, K. M., Sepehrband, F., Toga, A. W. & Choupan, J. Brain perivascular space imaging across the human lifespan. Neuroimage 271, 120009 (2023). doi: 10.1016/j.neuroimage.2023.120009 [doi]
4. Barisano, G., Iv, M., Choupan, J., Hayden-Gephart, M., Weiner, M., Aisen, P., Petersen, R., Jack, C. R., Jagust, W. & Trojanowki, J. Q. Robust, fully-automated assessment of cerebral perivascular spaces and white matter lesions: a multicentre MRI longitudinal study of their evolution and association with risk of dementia and accelerated brain atrophy. EBioMedicine 111 (2025). doi: 10.1016/j.ebiom.2024.105523 [doi]
5. Wang, M.-L., Zou, Q.-Q., Sun, Z., Wei, X.-E., Li, P.-Y., Wu, X., Li, Y.-H. & Initiative, A. s. D. N. Associations of MRI-visible perivascular spaces with longitudinal cognitive decline across the Alzheimer’s disease spectrum. Alzheimer's Research & Therapy 14, 185 (2022). doi: 10.1186/s13195-022-01136-y [doi]
6. Sepehrband, F., Cabeen, R. P., Choupan, J., Barisano, G., Law, M., Toga, A. W. & Initiative, A. s. D. N. Perivascular space fluid contributes to diffusion tensor imaging changes in white matter. Neuroimage 197, 243-254 (2019). doi: 10.1016/j.neuroimage.2019.04.070 [doi]
7. Fischl, B. FreeSurfer. Neuroimage 62, 774-781 (2012). doi: 10.1016/j.neuroimage.2012.01.021 [doi]
8. Sepehrband, F., Barisano, G., Sheikh-Bahaei, N., Cabeen, R. P., Choupan, J., Law, M. & Toga, A. W. Image processing approaches to enhance perivascular space visibility and quantification using MRI. Scientific reports 9, 12351 (2019). doi: 10.1038/s41598-019-48910-x [doi]
9. Schmidt, P. & Wink, L. LST: A lesion segmentation tool for SPM. Manual/Documentation for version 2, 15 (2017).

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/464-05-008