segcsvd <sub>PVS</sub> : A convolutional neural network‐based tool for quantification of enlarged perivascular spaces (PVS) on T1‐weighted images
Segcsvd<sub>PVS</sub> is a reliable tool for PVS segmentation, particularly in basal ganglia regions, offering superior sensitivity, robustness to imaging variability, and enhanced detection of biologically relevant age-related associations. These findings support its application in large-scale studies and clinical research to advance our understanding of PVS contributions to CSVD and dementia.
Authors
- Robert Bartha (ORCID: https://orcid.org/0000-0002-7118-9096)
- Vanessa Yhap
- Erin Gibson (ORCID: https://orcid.org/0000-0001-5823-0173)
- Maged Goubran (ORCID: https://orcid.org/0000-0001-5880-0818)
- Sean Symons (ORCID: https://orcid.org/0000-0002-8025-9965)
- Julie Ottoy (ORCID: https://orcid.org/0000-0002-9879-7497)
- N. Singh
- Malcolm A. Binns (ORCID: https://orcid.org/0000-0001-9998-6612)
- Joel Ramirez (ORCID: https://orcid.org/0000-0002-5582-1776)
- Stephanie Berberian
- Sanjeev Kumar (ORCID: https://orcid.org/0000-0002-3467-8958)
- Christopher J.M. Scott (ORCID: https://orcid.org/0000-0002-3236-7523)
- Maria del C. Valdés Hernández
- Lauren Abby Woods
- Mario Masellis
- Joanna M Wardlaw
- Richard H. Swartz
- Andrew Lim
- Sandra E. Black
- Fuqiang Gao
- Carmela Tartaglia
- Roberto Duarte
- Anthony E. Lang
- Bradley J. MacIntosh
Institutions
- Western University (CA)
- Sunnybrook Health Science Centre (CA)
- University Health Network (CA)
- University of Toronto (CA)
- Toronto Western Hospital (CA)
- Health Sciences Centre (CA)
- Baycrest Hospital (CA)
- NeuroDevelopment Center (US)
- UK Dementia Research Institute (GB)
- Ontario Brain Institute (CA)
- Sunnybrook Hospital (CA)
- Krembil Brain Institute
- Sunnybrook Research Institute
- University of Edinburgh (GB)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_104470
- Citations
- 1
- Primary Topic
- Cerebrospinal fluid and hydrocephalus
- Type
- article
- Field-Weighted Citation Impact
- 0.91