Dataset Information

High-Performance Virtual Reality Volume Rendering of Original Optical Coherence Tomography Point-Cloud Data Enhanced With Real-Time Ray Casting.

ABSTRACT:

Purpose

Feasibility testing of a novel volume renders technology to display optical coherence tomography data (OCT) in a virtual reality (VR) environment.

Methods

A VR program was written in C++/OpenGL to import and display volumetric OCT data in real time with 180 frames per second using a high-end computer and a tethered head-mounted display. Following exposure, participants completed a Simulator Sickness Questionnaire (SSQ) to assess for nausea, disorientation, and oculomotor disturbances. A user evaluation study of this software was conducted to explore the potential utility of this application.

Results

Fifty-seven subjects completed the user testing (34 males and 23 females). Mean age was 48.5 years (range, 21-77 years). Mean acquired work experience of the 35 ophthalmologists (61.40%) included in the group was 15.46 years (range, 1-37 years). Twenty-nine participants were VR-naïve. The SSQ showed a mean total score of 5.8 (SD = 9.44) indicating that the system was well tolerated and produced minimal side effects. No difference was reported between VR-naïve participants and experienced users. Overall, immersed subjects reported an enjoyable VR-OCT presence effect.

Conclusions

A usable and satisfying VR imaging technique was developed to display and interact with original OCT data.

Translational relevance

An advanced high-end VR image display method was successfully developed to provide new views and interactions in an ultra high-speed projected digital scenery using point-cloud OCT data. This represents the next generation of OCT image display technology and a new tool for patient engagement, medical education, professional training, and telecommunications.

SUBMITTER: Maloca PM

PROVIDER: S-EPMC6038772 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Publications

High-Performance Virtual Reality Volume Rendering of Original Optical Coherence Tomography Point-Cloud Data Enhanced With Real-Time Ray Casting.

Maloca Peter M PM de Carvalho J Emanuel Ramos JER Heeren Tjebo T Hasler Pascal W PW Mushtaq Faisal F Mon-Williams Mark M Scholl Hendrik P N HPN Balaskas Konstantinos K Egan Catherine C Tufail Adnan A Witthauer Lilian L Cattin Philippe C PC

Translational vision science & technology 20180709 4

<h4>Purpose</h4>Feasibility testing of a novel volume renders technology to display optical coherence tomography data (OCT) in a virtual reality (VR) environment.<h4>Methods</h4>A VR program was written in C++/OpenGL to import and display volumetric OCT data in real time with 180 frames per second using a high-end computer and a tethered head-mounted display. Following exposure, participants completed a Simulator Sickness Questionnaire (SSQ) to assess for nausea, disorientation, and oculomotor d ...[more]

PMID: 30002949

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Dataset Information

High-Performance Virtual Reality Volume Rendering of Original Optical Coherence Tomography Point-Cloud Data Enhanced With Real-Time Ray Casting.

Purpose

Methods

Results

Conclusions

Translational relevance

Publications

High-Performance Virtual Reality Volume Rendering of Original Optical Coherence Tomography Point-Cloud Data Enhanced With Real-Time Ray Casting.

Similar Datasets

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