Open AccessReal-time localization of the parathyroid gland in surgical field using Raspberry Pi during thyroidectomy: a preliminary report
Author(s) -
Yikeun Kim,
Sung Won Kim,
Kang Dae Lee,
YehChan Ahn
Publication year - 2018
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.9.003391
Subject(s) - autofluorescence , parathyroid gland , thyroidectomy , medicine , raspberry pi , pathology , thyroid , biomedical engineering , nuclear medicine , optics , fluorescence , parathyroid hormone , physics , calcium , computer science , embedded system , internet of things
We created an auto-para viewer, an autofluorescence imaging device, to localize the parathyroid glands during thyroidectomy using an inexpensive Raspberry Pi. A special emission filter in the auto-para viewer was designed to pass 1/100 of visible light and nearly all infrared light longer than 808 nm. With this emission filter, we simultaneously acquired an autofluorescence image of the parathyroid and a visible light image of the surrounding surgical field. The auto-para viewer displayed four times brighter autofluorescence of the parathyroid glands compared to the background tissues without operating room light. Additionally, it showed two times brighter autofluorescence than the background tissues simultaneously showing the surgical field illuminated by the visible light from the operating room light. The NOIR camera, using the auto-para viewer, could reduce the camera's exposure time so the parathyroid glands to be viewed in real-time, which is expected to prevent unintentional damage to the parathyroid gland during thyroidectomy.