Hologram stability evaluation for Microsoft HoloLens

Reid Vassallo; Adam Rankin; Elvis C. S. Chen; Terry M. Peters

doi:10.1117/12.2255831

10 March 2017 Hologram stability evaluation for Microsoft HoloLens

Reid Vassallo, Adam Rankin, Elvis C. S. Chen, Terry M. Peters

Proceedings Volume 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment; 1013614 (2017) https://doi.org/10.1117/12.2255831
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

Augmented reality (AR) has an increasing presence in the world of image-guided interventions which is amplified by the availability of consumer-grade head-mounted display (HMD) technology. The Microsoft^® HoloLens^TM optical passthrough device is at the forefront of consumer technology, as it is the first un-tethered head mounted computer (HMC). It shows promise of effectiveness in guiding clinical interventions, however its accuracy and stability must still be evaluated for the clinical environment. We have developed an evaluative protocol for the HoloLens^TM using an optical measurement device to digitize the perceived pose of the rendered hologram. This evaluates the ability of the HoloLens^TM to maintain the hologram in its intended pose. The stability is measured when actions are performed that may cause a shift in the holograms’ pose due to errors in its simultaneous localization and mapping. An emphasis is placed on actions that are more likely to be performed in a clinical setting. This will be used to determine the most applicable use cases for this technology in the future and how to minimize errors when in use. Our results show promise of this device’s potential for intraoperative clinical use. Further analysis must be performed to evaluate other potential sources of hologram disruption.

Citation Download Citation

Reid Vassallo, Adam Rankin, Elvis C. S. Chen, and Terry M. Peters "Hologram stability evaluation for Microsoft HoloLens", Proc. SPIE 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, 1013614 (10 March 2017); https://doi.org/10.1117/12.2255831

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