DIVA, a 3D virtual reality platform, improves undergraduate craniofacial trauma education

Abstract

Man scripClick here to access/download;Manuscript;2020.08.12_Manuscript_DIVA_TrAuthor's role and participation on the manuscript 38 All authors have participated to the conception and design, acquisition of data, or analysis and interpretation of data; All authors have participated to the drafting the article or revising it critically for important 41 intellectual content; 42 All authors have approved the final version to be published; 43 All authors have participated to the agreement to be accountable for all aspects of the work in 44 ensuring that questions related to the accuracy or integrity of any part of the work are 45 appropriately investigated and resolved 46 47 Approval and confirming statements 48 This study was approved by Institutional review board and performed in accordance with the 49 Helsinki declaration. Collection of data and analysis were in accordance with guidelines of 50 the French National Committee for the Protection of Personal Data (Commission Nationale 51 Informatique et Libertés, CNIL, declaration number 2218907v0). 52

Breast Magnetic Resonance Image Analysis for Surgeons Using Virtual Reality: A Comparative Study

“…In a previous study, DIVA was used in the Universit é de Paris Medical Faculty to teach students of craniofacial trauma surgery. 8 In this study, 98% of students expressed a high degree of satisfaction and, importantly, an improved understanding of craniofacial trauma. The results from resident surgeons in this study strongly suggest that similar results would be attained in a BC-oriented surgical training.…”

“…DIVA is a previously reported software platform that instantaneously generates 3D patient reconstructions from original MRI scans in their native DICOM file format. 7,8,12,13 These patient reconstructions, or patient avatars, are rendered using a volumetric ray-casting technique. 14 In contrast to surface rendering approaches (eg, segmentation), this technique allows all pixels of the image to be rendered simultaneously and to have their characteristics (eg, transparency, color, and lighting effects) modified in real time.…”

“…The usefulness of DIVA has already been evaluated in the context of craniofacial trauma education for undergraduate medical students with promising results and outside the medical context for microscopy images associated with scientific research. 8,9 The aim of this study was to quantitatively evaluate the speed and accuracy of surgeons using DIVA for medical image analysis of breast MRI sequences relative to standard image slice-based visualization.…”

Inspection of Histological 3D Reconstructions in Virtual Reality

“…While enough non-VR tools for medical visualization exist, such as 3D Slicer (Pieper et al, 2004;Kikinis et al, 2014), ParaView (Ahrens et al, 2005;Ayachit, 2015), or MeVisLab (Silva et al, 2009;Ritter et al, 2011), we are proponents of VR-based visualization. Rudimentary tasks in QC can be done, e. g., in 3D Slicer or using our previous work, a custom non-VR tool (detailed below on page 15), but in our experience, our VR-based QC was much faster and also easier for the user (Bouaoud et al, 2020 andLópez Chávez et al, 2020 report similar experiences). The navigation and generation of insights are a larger problem with non-VR tools.…”

“…More relevant to our approach are the visualizations of the inside of large arterial blood vessels (Forsberg et al, 2000;Egger et al, 2020). There is a trend is to utilize VR in medical education and training (Walsh et al, 2012;Chan et al, 2013;Mathur, 2015;Moro et al, 2017;Bouaoud et al, 2020;López Chávez et al, 2020;Pieterse et al, 2020); Uruthiralingam and Rea (2020) and Duarte et al (2020) provide an overview. The availability of head-mounted displays has sparked some new research (Chen et al, 2015;Choi et al, 2016;Inoue et al, 2016) in addition to already covered fields.…”