Deep Brain Vessel Profiler
Enhancing brain angiograms for personalized stroke management
At a glance
- Co-project leader : Prof. Dr. Björn Menze
- Deputy of project leader : Prof. Dr. Sven Hirsch
- Project team : Prof. Dr. Philippe Bijlenga, Dr. Norman Juchler, Fabio Musio, Prof. Dr. Susanne Wegener
- Project budget : CHF 198'000
- Project status : ongoing
- Funding partner : Public sector (excl. federal government) (Kanton Zürich / Digitalisierungsinitiative DIZH (Innovationsprogramm))
- Project partner : Universität Zürich, Universitätsspital Zürich, Hôpitaux universitaires de Genève
- Contact person : Norman Juchler
Description
The architecture of the supplying brain blood vessels is believed to impact the occurrence and severity of common cerebrovascular diseases such as ischemic strokes or intracranial aneurysms. In this project, we study methods to efficiently quantify the variability in human cerebral vasculature and how this variability is linked to cerebrovascular pathologies. We employ geometric and graph-based models of the vasculature to analyze and profile the cerebral angioarchitecture in large patient cohorts.
The range of methods to use includes medical image analysis, machine learning, medical statistics and quantitative morphology.
Publications
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Juchler, Norman; Bijlenga, Philippe; Hirsch, Sven,
2022.
Modeling the location-dependency of aneurysm shape : a morphometric comparative study [paper].
In:
Nithiarasu, Perumal; Vergara, Christian, eds.,
CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering.
7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 June 2022.
Computational & Mathematical Biomedical Engineering.
pp. 703-705.
Available from: https://doi.org/10.21256/zhaw-25388