DIVA: natural navigation inside 3D images using virtual reality

Beheiry, Mohamed El; Godard, Charlotte; Caporal, Clément; Marcon, Valentin; Ostertag, Cécilia; Sliti, Oumaima; Doutreligne, Sébastien; Fournier, Stéphane; Hajj, Bassam; Dahan, Maxime; Masson, Jean-Baptiste

doi:10.1101/2020.04.09.019935

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…The VR models of the patient's anatomy were generated using the DIVA software 8,9 . It was developed by using the popular Unity game engine and it includes two native interfaces: a desktop mode for volumetric viewing on a standard computer monitor and a VR mode to interact with medical images in an artificial environment through the use of a VR headset.…”

Section: Methodsmentioning

confidence: 99%

Fast‐track virtual reality for cardiac imaging in congenital heart disease

Raimondi

Vida

Godard

et al. 2021

Journal of Cardiac Surgery

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Section: Methodsmentioning

confidence: 99%

Fast‐track virtual reality for cardiac imaging in congenital heart disease

Raimondi

Vida

Godard

et al. 2021

Journal of Cardiac Surgery

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“…5D ). Segmentation of darker voxels and 3D-navigation using the virtual reality software, DIVA (El Beheiry et al, 2020), illustrate these quantitative findings and provide a realistic representation of the cytoskeletal architecture within connections ( Fig. 5E) .…”

Section: Resultsmentioning

confidence: 81%

3D reconstruction of the cerebellar germinal layer reveals intercytoplasmic connections between developing granule cells

Cervantes

Khare

Wilson

et al. 2022

Preprint

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The difficulty of retrieving high-resolution, in vivo evidence of the proliferative- and migratory processes occurring in neural germinal zones has limited our understanding of neurodevelopmental mechanisms. Here, we employed a connectomic approach using a high-resolution, serial-sectioning scanning electron microscopy volume to investigate the laminar cytoarchitecture of the transient external granular layer (EGL) of the developing cerebellum, where granule cells coordinate a series of mitotic and migratory events. By integrating image segmentation, 3D reconstruction, and deep learning approaches, we discovered and characterized anatomically complex intercellular connections bridging pairs of cerebellar granule cells throughout the EGL. Connected cells were either mitotic, migratory, or transitioning between these two cell stages, displaying a chronological continuum of proliferative and migratory events never previously observed in vivo at this resolution. This unprecedented ultra-structural characterization poses intriguing hypotheses about intercellular connectivity between developing progenitors, and its possible role in the development of the central nervous system (CNS).

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“…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.…”

Section: Introductionmentioning

confidence: 99%

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

Beheiry

Gaillard

Girard

et al. 2021

JCO Clinical Cancer Informatics

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PURPOSE The treatment of breast cancer, the leading cause of cancer and cancer mortality among women worldwide, is mainly on the basis of surgery. In this study, we describe the use of a medical image visualization tool on the basis of virtual reality (VR), entitled DIVA, in the context of breast cancer tumor localization among surgeons. The aim of this study was to evaluate the speed and accuracy of surgeons using DIVA for medical image analysis of breast magnetic resonance image (MRI) scans relative to standard image slice-based visualization tools. MATERIALS AND METHODS In our study, residents and practicing surgeons used two breast MRI reading modalities: the common slice-based radiology interface and the DIVA system in its VR mode. Metrics measured were compared in relation to postoperative anatomical-pathologic reports. RESULTS Eighteen breast surgeons from the Institut Curie performed all the analysis presented. The MRI analysis time was significantly lower with the DIVA system than with the slice-based visualization for residents, practitioners, and subsequently the entire group ( P < .001). The accuracy of determination of which breast contained the lesion significantly increased with DIVA for residents ( P = .003) and practitioners ( P = .04). There was little difference between the DIVA and slice-based visualization for the determination of the number of lesions. The accuracy of quadrant determination was significantly improved by DIVA for practicing surgeons ( P = .01) but not significantly for residents ( P = .49). CONCLUSION This study indicates that the VR visualization of medical images systematically improves surgeons' analysis of preoperative breast MRI scans across several different metrics irrespective of surgeon seniority.

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DIVA: natural navigation inside 3D images using virtual reality

Cited by 4 publications

References 10 publications

Fast‐track virtual reality for cardiac imaging in congenital heart disease

Fast‐track virtual reality for cardiac imaging in congenital heart disease

3D reconstruction of the cerebellar germinal layer reveals intercytoplasmic connections between developing granule cells

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

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