Monitoring the lateral ventricles in the presence of intracranial hemorrhage using automated dual segmentation
Automated dual segmentation of lateral ventricles and ICH using deep learning provides a reliable method to monitor TBI severity over time. The approach yielded clinically relevant information, including ICH and lateral ventricle volume changes across sessions. This approach offers an efficient analysis of CT images in ICH and particularly patients that develop IVH.
Authors
- Bradley J. MacIntosh (ORCID: https://orcid.org/0000-0001-7300-2355)
- Inge Rasmus Groote (ORCID: https://orcid.org/0000-0003-1003-555X)
- Elakkyen Murugesu
- Till Schellhorn
- Atle Bjornerud
- Qinghui Liu
- Espen S Kristoffersen
- Karoline Skogen
Institutions
- Oslo University Hospital (NO)
- University of Oslo (NO)
- University of Toronto (CA)
- Akershus University Hospital (NO)
- Sykehuset i Vestfold (NO)
- Ontario Brain Institute (CA)
Publication Details
- Journal
- Medical Physics
- Published
- 2026-01-30
- DOI
- https://doi.org/10.1002/mp.70308
- Primary Topic
- Intracerebral and Subarachnoid Hemorrhage Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Norges Forskningsråd
- Canadian Institutes of Health Research