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Illustrative uncertainty visualization of DTI fiber pathways

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  • Medicine


Noname manuscript No. (will be inserted by the editor) Illustrative Uncertainty Visualization of DTI Fiber Pathways R. Brecheisen · B. Platel · B.M. ter Haar Romeny · A. Vilanova Received: date / Accepted: date Abstract Diffusion Tensor Imaging (DTI) and fiber track- ing provide unique insight into the 3D structure of fibrous tissues in the brain. However, the output of fiber tracking contains a significant amount of uncertainty accumulated in the various steps of the processing pipeline. Existing DTI vi- sualization methods do not present these uncertainties to the end-user. This creates a false impression of precision and accuracy that can have serious consequences in applications that rely heavily on risk assessment and decision-making, such as neurosurgery. On the other hand, adding uncertainty to an already complex visualization can easily lead to infor- mation overload and visual clutter. In this work, we propose Illustrative Confidence Intervals to reduce the complexity of the visualization and present only those aspects of uncer- tainty that are of interest to the user. We look specifically at the uncertainty in fiber shape due to noise and modeling errors. To demonstrate the flexibility of our framework, we compute this uncertainty in two different ways, based on (1) fiber distance and (2) the probability of a fiber connection between two brain regions. We provide the user with interac- tive tools to define multiple confidence intervals, specify vi- sual styles and explore the uncertainty with a Focus+Context approach. Finally, we have conducted a user evaluation with three neurosurgeons to evaluate the added value of our visu- alization. Keywords Diffusion Tensor Imaging · Fiber Track- ing · Uncertainty Visualization · Illustrative Rendering · Neurosurgery Planning R. Brecheisen, B.M. ter Haar Romeny, A. Vilanova Eindhoven University of Technology, Den Dolech 2, Eindhoven Tel.: +31-40-2472859 Fax: +131-40-2472740 E-mail: [email protected] B. Platel Fraunhofer MEVIS, Bremen

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