Researchers at the University of California, Davis have developed a system that displays a real-time image - generated from optical signals - of biological tissue.
Accurate imaging of biological tissue greatly improves the effectiveness of medical interventions. Unfortunately, many current methods for real-time tissue imaging use whole-field imaging, which often lacks the flexibility to image a non-uniform surface topology from a variety of angles. Additionally, such methods often require tracking hardware or processes to be introduced into the surgical theatre. The alternative of an accurate, free-hand method for tissue imaging would greatly improve both accuracy and flexibility during medical procedures.
Researchers at the University of California, Davis have developed a method/system that displays an image of biological tissue during medical interventions. This system enables the practitioner to illuminate a specific section of biological tissue by using a precise, point measurement, probe. The probe delivers both an excitation beam and an overlapping aiming beam visible to a camera, allowing the tissue’s location to be identified precisely. In addition, the system allows the relevant tissue to be tracked even if the tissue moves during the course of the medical procedure. The system also overcomes any visual obstruction from foreground objects (such as medical instruments) by detecting and removing these objects from the tissue image using a machine learning approach – thus providing an unoccluded view of the tissue region. This free-hand approach employs small, lightweight probes that can be used for the intraoperative imaging of intricate anatomies, as well as the flexibility to image a desired region of interest with non-uniform surface topology. This point-scanning approach for medical imaging enables physicians to have greater control over seeing desired regions throughout a procedure.
Medical Imaging, Optical Imaging, Real-time tissue imaging, Surgical imaging