Effect of White Matter Uncertainty Visualization in Neurosurgical Decision-Making
Fiber tracking is a powerful technique that provides insight into the brain's white matter structure. Despite its potential, the inherent uncertainties limit its widespread clinical use. These uncertainties potentially hamper the clinical decisions neurosurgeons have to make before, during, and after the surgery. Many techniques have been developed to visualize uncertainties; however, there is limited evidence to suggest whether these uncertainty visualization influences neurosurgical decision-making. In this article, we evaluate the hypothesis that uncertainty visualization in fiber tracking influences neurosurgeon's decisions and confidence in their decisions. For this purpose, we designed a user study through an online interactive questionnaire and evaluate the influence of uncertainty visualization in neurosurgical decision-making. The results of this study emphasize the importance of uncertainty visualization in clinical decision-making by highlighting the influence of different intervals of uncertainty visualization in critical clinical decisions.
Authors
- Thomas Höllt (ORCID: https://orcid.org/0000-0001-8125-1650)
- Geert‐Jan Rutten (ORCID: https://orcid.org/0000-0002-8699-491X)
- Anna Vilanova (ORCID: https://orcid.org/0000-0002-1034-737X)
- H. Bart Brouwers (ORCID: https://orcid.org/0000-0001-7044-8394)
- Faizan Siddiqui (ORCID: https://orcid.org/0000-0002-4271-4859)
Institutions
- Elisabeth-TweeSteden Ziekenhuis (NL)
- Eindhoven University of Technology (NL)
- Delft University of Technology (NL)
Publication Details
- Journal
- IEEE Computer Graphics and Applications
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1109/mcg.2024.3462926
- Primary Topic
- Statistical and numerical algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Technische Universiteit Delft
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek