Immersive 3D Medical Visualization in Virtual Reality using Stereoscopic Volumetric Path Tracing

UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitle2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)es_ES
UDC.departamentoCiencias da Computación e Tecnoloxías da Informaciónes_ES
UDC.endPage1053es_ES
UDC.grupoInvComputer Graphics & Visual Computing (XLab)es_ES
UDC.startPage1044es_ES
dc.contributor.authorTaibo, Javier
dc.contributor.authorIglesias-Guitian, Jose A.
dc.date.accessioned2024-11-08T08:15:03Z
dc.date.available2024-11-08T08:15:03Z
dc.date.issued2024
dc.description.abstract[Abstract] Scientific visualizations using physically-based lighting models play a crucial role in enhancing both image quality and realism. In the domain of medical visualization, this trend has gained significant traction under the term cinematic rendering (CR). It enables the creation of 3D photorealistic reconstructions from medical data, offering great potential for aiding healthcare professionals in the analysis and study of volumetric datasets. However, the adoption of such advanced rendering for immersive virtual reality (VR) faces two main limitations related to their high computational demands. First, these techniques are frequently used to produce pre-recorded videos and offline content, thereby restricting interactivity to predefined volume appearance and lighting settings. Second, when deployed in head-tracked VR environments they can induce cyber-sickness symptoms due to the disturbing flicker caused by noisy Monte Carlo renderings. Consequently, the scope for meaningful interactive operations is constrained in this modality, in contrast with the versatile capabilities of classical direct volume rendering (DVR). In this work, we introduce an immersive 3D medical visualization system capable of producing photorealistic and fully interactive stereoscopic visualizations on head-mounted display (HMD) devices. Our approach extends previous linear regression denoising to enable real-time stereoscopic cinematic rendering within AR/VR settings. We demonstrate the capabilities of the resulting VR system, like its interactive rendering, appearance and transfer function editing.es_ES
dc.description.sponsorshipThe anonymized medical datasets employed in this study were obtained courtesy of the OsiriX Foundation (specifically, MANIX and MACOESSIX), and were freely available through Embodi3D LLC (HAND). We thank Prof. Jérôme Schmid for the helpful and in-sightful discussions about the usability of the system by healthcare professionals. We also thank Prof. Bochang Moon for our helpful discussions on image-based denoising using weighted recursive least squares. Both authors would like to express their gratitude with Tom Boudard, Enrique García, Cristina Pelayo and Miguel Osorio who all helped us improve the VR GUI and tools of the system. We also thank Manuel Silva for his last-minute help in preparing the supplementary website, and Bea Blanco for her administrative assistance. We also thank Giovanni Fiorilli for his support in building our HTC Developer Partnership. Jose A. Iglesias-Guitian was supported by a 2021 Leonardo Grant for Researchers and Cultural Creators, BBVA Foundation. He also acknowledges the UDC-Inditex InTalent programme, the Spanish Ministry of Science and Innovation (AEI/RYC2018-025385-I) and Xunta de Galicia (ED431F 2021/11es_ES
dc.description.sponsorshipXunta de Galicia; ED431F 2021/11es_ES
dc.identifier.citationTaibo, J., Iglesias-Guitian, J. A. (2024). Immersive 3D Medical Visualization in Virtual Reality using Stereoscopic Volumetric Path Tracing. In 2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR), p. 1044-1053, doi: 0.1109/VR58804.2024.00123es_ES
dc.identifier.urihttp://hdl.handle.net/2183/40004
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RYC2018-025385-I/ES/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RYC2018-025385-I/ES/ADVANCED RENDERING FOR SCIENTIFIC VISUALIZATION AND SIMULATION
dc.relation.uri10.1109/VR58804.2024.00123es_ES
dc.rights© © 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other Workses_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectSolid modelinges_ES
dc.subjectThree-dimensional displayses_ES
dc.subjectStereo image processinges_ES
dc.subjectLightinges_ES
dc.subjectData visualizationes_ES
dc.subjectTransfer functionses_ES
dc.subjectVirtual realityes_ES
dc.subjectComputing methodologieses_ES
dc.subjectRay tracinges_ES
dc.subjectHuman-centered computinges_ES
dc.subjectGraphical user interfacees_ES
dc.titleImmersive 3D Medical Visualization in Virtual Reality using Stereoscopic Volumetric Path Tracinges_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationcc937ec7-2f90-4a62-abb1-b4f87b033bab
relation.isAuthorOfPublication2baabfcd-ac55-477b-a5db-4f31be84703f
relation.isAuthorOfPublication.latestForDiscoverycc937ec7-2f90-4a62-abb1-b4f87b033bab

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