Open Access
28 September 2019 Characterization and validation of multimodal annihilation-gamma/near-infrared/visible laparoscopic system
Seong Hyun Song, Han Gyu Kang, Young Been Han, Ho-Young Lee, Dae-Hong Jeong, Soo Mee Kim, Seong Jong Hong
Author Affiliations +
Abstract

Minimally invasive robotic surgery using fluorescence-guided images with a video laparoscope has been widely used because of its advantages of small incision, fast recovery time, and efficiency. However, the penetration depth limitation of fluorescence is a disadvantage caused by the absorption and scattering in tissues and blood cells. If this limitation can be overcome by additional imaging modalities, the surgical procedure can be quite efficient and precise. High-energy annihilation-gamma photons have a stronger penetration capability than visible and fluorescence photons. To characterize and validate a multimodal annihilation-gamma/near-infrared (NIR)/visible laparoscopic imaging system, an internal detector composed of an annihilation-gamma detector and an optical system was assembled inside a surgical stainless pipe with an outer diameter of 15.8 mm and an external detector with a dimension of 100  ×  100  mm2 placed at the opposite side of the internal detector. Integrated images of 511-keV gamma rays, NIR fluorescence, and visible light were obtained simultaneously. The 511-keV gamma image could be clearly seen with the acquisition of 5 s, while NIR and visible images could be presented in real time. This multimodal system has the potential for improving the surgery time and the quality of patient care.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Seong Hyun Song, Han Gyu Kang, Young Been Han, Ho-Young Lee, Dae-Hong Jeong, Soo Mee Kim, and Seong Jong Hong "Characterization and validation of multimodal annihilation-gamma/near-infrared/visible laparoscopic system," Journal of Biomedical Optics 24(9), 096008 (28 September 2019). https://doi.org/10.1117/1.JBO.24.9.096008
Received: 15 April 2019; Accepted: 30 August 2019; Published: 28 September 2019
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CITATIONS
Cited by 5 scholarly publications and 1 patent.
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KEYWORDS
Sensors

Crystals

Near infrared

Imaging systems

Laparoscopy

Gamma radiation

Luminescence

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