a-novel-dual-modal-deep-learning-approach-for-real-time-removal

A Novel Dual-Modal Deep Learning Approach for Real-Time Removal of Hepatic Fluorescence in Indocyanine Green-Guided Laparoscopic Cholecystectomy

Indocyanine green-guided laparoscopic cholecystectomy (ICGLC) improves biliary visualization but is often hindered by hepatic fluorescence contamination, ...

Chinese Academy of Medical Sciences & Peking Union Medical College

Near-infrared fluorescence imaging  using intravenous indocyanine green (ICG) has a wide range of applications in multiple surgical scenarios. In laparoscopic cholecystectomy (LC), it facilitates intraoperative identification of the biliary system and reduces the risk of bile duct injury. However, the usual single color fluorescence imaging (SCFI) has limitations in manifesting the fluorescence signal of the target structure when its intensity is relatively low. Moreover, surgeons often experience visual fatigue. We hypothesized that a novel imaging strategy, named multi-color fluorescence imaging (MCFI), could potentially address these issues by decreasing hepatic and background fluorescence pollution and improving biliary visualization.

Efficacy of multi-color near-infrared fluorescence with indocyanine green: A new imaging strategy and its early experience in laparoscopic cholecystectomy.

Bozheng Lin

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