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dc.contributor.authorSiddiqui, Faizanen_US
dc.contributor.authorHöllt, Thomasen_US
dc.contributor.authorVilanova, Annaen_US
dc.contributor.editorHansen, Christianen_US
dc.contributor.editorProcter, Jamesen_US
dc.contributor.editorRenata G. Raidouen_US
dc.contributor.editorJönsson, Danielen_US
dc.contributor.editorHöllt, Thomasen_US
dc.date.accessioned2023-09-19T11:31:44Z
dc.date.available2023-09-19T11:31:44Z
dc.date.issued2023
dc.identifier.isbn978-3-03868-216-5
dc.identifier.issn2070-5786
dc.identifier.urihttps://doi.org/10.2312/vcbm.20231208
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20231208
dc.description.abstractFiber tracking is a powerful technique that provides valuable insights into the complex white matter structure of the human brain. However, the processing pipeline involves many sources of uncertainty, with one notable factor being the user-defined parameters that significantly influence the resulting outputs. Among these parameters, the definition of seed-points is a crucial aspect in most fiber tracking algorithms. These seed-points are determined through regions of interest (ROI) and serve as the initial points for fiber tract generation. In this work, we present an interactive technique that utilizes seed-point sensitivities to guide the definition of regions of interest (ROI). We examine various scenarios where sensitivity information can enhance the ROI definition process and provide user guidelines and recommended actions for each scenario. Building upon this analysis, we have developed a visualization strategy that enables users to explore seed-point sensitivities effectively and facilitate the definition of optimal ROIs. We present results highlighting the benefits of the proposed visual design in the clinical pipelines.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleInteractive Visual Exploration of Region-based Sensitivities in Fiber Trackingen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.description.sectionheadersDecision Making and Surgery Planning
dc.identifier.doi10.2312/vcbm.20231208
dc.identifier.pages13-22
dc.identifier.pages10 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License