Efficient Tissue Discrimination during Surgical Interventions Using Hyperspectral Imaging

摘要

A new hyperspectral imaging system has been designed for integration in the operating room to detect anatomical tissues hardly noticed by the surgeon’s naked eye. This LCTF-based spectral imaging system is operative over visible and near infrared range (400-1100 nm). After spectral calibration and spatial registration, the tricky process consists in reducing the huge amount of acquired data and removing redundancy without losing valuable information. Band transformation and selection methods are applied on both labeled and unlabeled tissues to extract relevant information to be displayed on surgeon’s RGB monitor. Visualization processing involving global and local contrast enhancement is then performed. To provide a reference for evaluation, surgeon’s perception of the scene is also simulated based on retina cell spectral responses. Experiments on pig ureter hyperspectral datasets reveal that band selection methods are the most effective on this type of intervention, providing sharp interpretation and accurate visualization of the biological tissues.