9 December 2017 Optical design of an in vivo laparoscopic lighting system
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Abstract
This paper proposes an in vivo laparoscopic lighting system design to address the illumination issues, namely poor lighting uniformity and low optical efficiency, existing in the state-of-the-art in vivo laparoscopic cameras. The transformable design of the laparoscopic lighting system is capable of carrying purposefully designed freeform optical lenses for achieving lighting performance with high illuminance uniformity and high optical efficiency in a desired target region. To design freeform optical lenses for extended light sources such as LEDs with Lambertian light intensity distributions, we present an effective and complete freeform optical design method. The procedures include (1) ray map computation by numerically solving a standard Monge–Ampere equation; (2) initial freeform optical surface construction by using Snell’s law and a lens volume restriction; (3) correction of surface normal vectors due to accumulated errors from the initially constructed surfaces; and (4) feedback modification of the solution to deal with degraded illuminance uniformity caused by the extended sizes of the LEDs. We employed an optical design software package to evaluate the performance of our laparoscopic lighting system design. The simulation results show that our design achieves greater than 95% illuminance uniformity and greater than 89% optical efficiency (considering Fresnel losses) for illuminating the target surgical region.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Xiaolong Liu, Xiaolong Liu, Reza Yazdanpanah Abdolmalaki, Reza Yazdanpanah Abdolmalaki, Gregory J. Mancini, Gregory J. Mancini, Jindong Tan, Jindong Tan, } "Optical design of an in vivo laparoscopic lighting system," Journal of Biomedical Optics 22(12), 125003 (9 December 2017). https://doi.org/10.1117/1.JBO.22.12.125003 . Submission: Received: 16 May 2017; Accepted: 17 November 2017
Received: 16 May 2017; Accepted: 17 November 2017; Published: 9 December 2017
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