Journal
APPLIED SCIENCES-BASEL
Volume 13, Issue 4, Pages -Publisher
MDPI
DOI: 10.3390/app13042042
Keywords
near infrared imaging; phantom; image guided surgery; light distribution
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The aim of this study is to investigate light distribution and the center-periphery effect among five different NIR imaging devices. The results showed considerable variability in regard to light distribution among the five camera systems, especially toward the periphery of the field of view. NIR signal distribution varies between different systems and within the same displayed image, and the fluorescence intensity diminishes peripherally away from the center of the field of view.
Near infrared imaging (NIR) camera systems have been clinically deployed to visualize intravenous injected indocyanine green (ICG) spreading through the vascular bed, thereby creating the ability to assess tissue perfusion. While standardization is key to make fluorescence angiography (FA) comparable and reproducible, optical characteristics like field illumination homogeneity are often not considered. Therefore the aim of this study is to investigate light distribution and the center-periphery effect among five different NIR imaging devices in an indocyanine green phantom. A 13 x 13 cm fluorescence phantom was created by diluting ICG in Intralipid (representing 0.1 mg/kg dose in an 80 kg reference male), to evaluate the overall spatial collection efficiency with fluorescent modalities of five different NIR camera systems using a 0-degree laparoscope. The fluorescence signal from the phantom was quantified at a fixed distance of 16 cm using tailor-made software in Python. The results showed considerable variability in regard to light distribution among the five camera systems, especially toward the periphery of the field of view. In conclusion, NIR signal distribution varies between different systems and within the same displayed image. The fluorescence intensity diminishes peripherally away from the center of the field of view. These optical phenomena need to be considered when clinically interpreting the signal and in the development of computational fluorescence quantification.
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