Performance evaluation and clinical applications of 3D plenoptic cameras

Ryan Decker; Azad Shademan; Justin Opfermann; Simon Leonard; Peter C. W. Kim; Axel Krieger

doi:10.1117/12.2179281

18 June 2015 Performance evaluation and clinical applications of 3D plenoptic cameras

Ryan Decker, Azad Shademan, Justin Opfermann, Simon Leonard, Peter C. W. Kim, Axel Krieger

Proceedings Volume 9494, Next-Generation Robotics II; and Machine Intelligence and Bio-inspired Computation: Theory and Applications IX; 94940B (2015) https://doi.org/10.1117/12.2179281
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, MD, United States

Abstract

The observation and 3D quantification of arbitrary scenes using optical imaging systems is challenging, but increasingly necessary in many fields. This paper provides a technical basis for the application of plenoptic cameras in medical and medical robotics applications, and rigorously evaluates camera integration and performance in the clinical setting. It discusses plenoptic camera calibration and setup, assesses plenoptic imaging in a clinically relevant context, and in the context of other quantitative imaging technologies. We report the methods used for camera calibration, precision and accuracy results in an ideal and simulated surgical setting. Afterwards, we report performance during a surgical task. Test results showed the average precision of the plenoptic camera to be 0.90mm, increasing to 1.37mm for tissue across the calibrated FOV. The ideal accuracy was 1.14mm. The camera showed submillimeter error during a simulated surgical task.

Citation Download Citation

Ryan Decker, Azad Shademan, Justin Opfermann, Simon Leonard, Peter C. W. Kim, and Axel Krieger "Performance evaluation and clinical applications of 3D plenoptic cameras", Proc. SPIE 9494, Next-Generation Robotics II; and Machine Intelligence and Bio-inspired Computation: Theory and Applications IX, 94940B (18 June 2015); https://doi.org/10.1117/12.2179281

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