Liver Pathology Simulation: Algorithm for Haptic Rendering and Force Maps for Palpation Assessment
This work addresses the need for cost-effective surgical training simulators to improve learning efficiency and safety in liver pathology diagnostics, representing an incremental advancement in haptic simulation technology.
The paper tackled the problem of training surgeons in minimally invasive surgery by developing a haptic-based simulator with real-time surface stiffness adjustment and force maps for palpation assessment, resulting in a tool designed to reduce skill acquisition time and risks for residents.
Preoperative gestures include tactile sampling of the mechanical properties of biological tissue for both histological and pathological considerations. Tactile properties used in conjunction with visual cues can provide useful feedback to the surgeon. Development of novel cost effective haptic-based simulators and their introduction in the minimally invasive surgery learning cycle can absorb the learning curve for your residents. Receiving pre-training in a core set of surgical skills can reduce skill acquisition time and risks. We present the integration of a real-time surface stiffness adjustment algorithm and a novel paradigm -- force maps -- in a visuo-haptic simulator module designed to train internal organs disease diagnostics through palpation.