Perceived image quality for autostereoscopic holograms in healthcare training

Brian Goldiez; Julian Abich IV; Austin Carter; Matthew Hackett

doi:10.1117/12.2254032

10 March 2017 Perceived image quality for autostereoscopic holograms in healthcare training

Brian Goldiez, Julian Abich IV, Austin Carter, Matthew Hackett

Proceedings Volume 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment; 1013615 (2017) https://doi.org/10.1117/12.2254032
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

The current state of dynamic light field holography requires further empirical investigation to ultimately advance this developing technology. This paper describes a user-centered design approach for gaining insight into the features most important to clinical personnel using emerging dynamic holographic displays. The approach describes the generation of a high quality holographic model of a simulated traumatic amputation above the knee using 3D scanning. Using that model, a set of static holographic prints will be created varying in color or monochrome, contrast ratio, and polygon density. Leveraging methods from image quality research, the goal for this paper is to describe an experimental approach wherein participants are asked to provide feedback regarding the elements previously mentioned in order to guide the ongoing evolution of holographic displays.

Citation Download Citation

Brian Goldiez, Julian Abich IV, Austin Carter, and Matthew Hackett "Perceived image quality for autostereoscopic holograms in healthcare training", Proc. SPIE 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, 1013615 (10 March 2017); https://doi.org/10.1117/12.2254032

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