Advanced illumination control algorithm for medical endoscopy applications

Ricardo M. Sousa; Martin Wäny; Pedro Santos; F. Morgado-Dias

doi:10.1117/12.2176928

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13 May 2015 Advanced illumination control algorithm for medical endoscopy applications

Ricardo M. Sousa, Martin Wäny, Pedro Santos, F. Morgado-Dias

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Proceedings Volume 9481, Image Sensing Technologies: Materials, Devices, Systems, and Applications II; 94810I (2015) https://doi.org/10.1117/12.2176928
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, Maryland, United States

Abstract

CMOS image sensor manufacturer, AWAIBA, is providing the world’s smallest digital camera modules to the world market for minimally invasive surgery and one time use endoscopic equipment. Based on the world’s smallest digital camera head and the evaluation board provided to it, the aim of this paper is to demonstrate an advanced fast response dynamic control algorithm of the illumination LED source coupled to the camera head, over the LED drivers embedded on the evaluation board. Cost efficient and small size endoscopic camera modules nowadays embed minimal size image sensors capable of not only adjusting gain and exposure time but also LED illumination with adjustable illumination power. The LED illumination power has to be dynamically adjusted while navigating the endoscope over changing illumination conditions of several orders of magnitude within fractions of the second to guarantee a smooth viewing experience. The algorithm is centered on the pixel analysis of selected ROIs enabling it to dynamically adjust the illumination intensity based on the measured pixel saturation level. The control core was developed in VHDL and tested in a laboratory environment over changing light conditions. The obtained results show that it is capable of achieving correction speeds under 1 s while maintaining a static error below 3% relative to the total number of pixels on the image. The result of this work will allow the integration of millimeter sized high brightness LED sources on minimal form factor cameras enabling its use in endoscopic surgical robotic or micro invasive surgery.

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Ricardo M. Sousa, Martin Wäny, Pedro Santos, and F. Morgado-Dias "Advanced illumination control algorithm for medical endoscopy applications", Proc. SPIE 9481, Image Sensing Technologies: Materials, Devices, Systems, and Applications II, 94810I (13 May 2015); https://doi.org/10.1117/12.2176928

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