A surgical system for automatic registration, stiffness mapping and dynamic image overlay
This addresses the problem of reducing cognitive overload for surgeons by quickly revealing tumor locations and shapes, though it appears incremental as it integrates existing methods into a unified system.
The paper developed a surgical system using the da Vinci research kit that autonomously searches for tumors and displays their location via augmented reality, demonstrating efficacy on phantom prostate models with embedded stiff inclusions.
In this paper we develop a surgical system using the da Vinci research kit (dVRK) that is capable of autonomously searching for tumors and dynamically displaying the tumor location using augmented reality. Such a system has the potential to quickly reveal the location and shape of tumors and visually overlay that information to reduce the cognitive overload of the surgeon. We believe that our approach is one of the first to incorporate state-of-the-art methods in registration, force sensing and tumor localization into a unified surgical system. First, the preoperative model is registered to the intra-operative scene using a Bingham distribution-based filtering approach. An active level set estimation is then used to find the location and the shape of the tumors. We use a recently developed miniature force sensor to perform the palpation. The estimated stiffness map is then dynamically overlaid onto the registered preoperative model of the organ. We demonstrate the efficacy of our system by performing experiments on phantom prostate models with embedded stiff inclusions.