Resectograms: Real-Time 2D Visualization of Liver Virtual Resections

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dc.contributor.authorMeng, Ruoyanen_US
dc.contributor.authorAghayan, Daviten_US
dc.contributor.authorPelanis, Egidijusen_US
dc.contributor.authorEdwin, Bjørnen_US
dc.contributor.authorCheikh, Faouzi Alayaen_US
dc.contributor.authorPalomar, Rafaelen_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.accessioned2023-09-19T11:31:46Z
dc.date.available2023-09-19T11:31:46Z
dc.date.issued2023
dc.description.abstractVisualization of virtual resections plays a central role in computer-assisted liver surgery planning. The complexity of the liver's internal structures often leads to difficulties in its proper visualization during the positioning of virtual resections. Occlusions by vessels and tumors are common problems leading to non-preservation of resection margin, incorrect intersection with vessels, and resections. To overcome these challenges, we introduce Resectograms: a visualization approach based on 2D representations of virtual resections, which enable the visualization of information associated with surgical planning. These representations are presented as an additional 2D view displaying anatomical, functional, and risk-associated information extracted from the virtual resection in real-time. This view offers surgeons a simple and occlusion-free visualization of the virtual resection during surgical planning. Our pilot experiment with clinicians shows that the use of this visualization tool provides more information while planning virtual resections and has the potential to enhance confidence in accurate resection. The code repository and supplementary materials for this work is available at: https://github.com/ALive-research/Slicer-Liveren_US
dc.description.sectionheadersDecision Making and Surgery Planning
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20231209
dc.identifier.isbn978-3-03868-216-5
dc.identifier.issn2070-5786
dc.identifier.pages23-27
dc.identifier.pages5 pages
dc.identifier.urihttps://doi.org/10.2312/vcbm.20231209
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20231209
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies -> Virtual reality; Human-centered computing -> Visualization techniques; Applied computing -> Life and medical sciences
dc.subjectComputing methodologies
dc.subjectVirtual reality
dc.subjectHuman centered computing
dc.subjectVisualization techniques
dc.subjectApplied computing
dc.subjectLife and medical sciences
dc.titleResectograms: Real-Time 2D Visualization of Liver Virtual Resectionsen_US
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VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine