Characterization and validation of multimodal annihilation-gamma/near-infrared/visible laparoscopic system SCIE SCOPUS

Cited 1 time in WEB OF SCIENCE Cited 1 time in Scopus
Title
Characterization and validation of multimodal annihilation-gamma/near-infrared/visible laparoscopic system
Author(s)
Song, Seong H.; Kang, Han G.; Han, Young B.; Lee, Ho-Young; Jeong, Dae H.; Kim, Soo M.; Hong, Seong J.
KIOST Author(s)
Kim, Soo Mee(김수미)
Publication Year
2019-09
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 x 100 mm(2) 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. (C) The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License.
ISSN
1083-3668
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/542
DOI
10.1117/1.JBO.24.9.096008
Bibliographic Citation
JOURNAL OF BIOMEDICAL OPTICS, v.24, no.9, 2019
Publisher
SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
Subject
GUIDED CANCER-SURGERY; LYMPH-NODE BIOPSY; INDOCYANINE GREEN; FLUORESCENCE; MALIGNANCIES; TRACER
Keywords
minimally invasive robotic surgery; multimodal imaging system; positron emission tomography; fluorescence imaging
Type
Article
Language
English
Document Type
Article
Publisher
SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
Related Researcher
Research Interests

Underwater Image Processing,Maritime Radiation Sensing,Maritime Data Analysis,수중영상처리기술,해양방사선 센싱기술,해양데이터 분석기술

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