A real-time deformation model using patient-specific medical data

Recently, minimally invasive surgeries have become remarkably common. While such operations reduce patients' burden; they force surgeons to perform difficult surgeries due to lack of effective training methods and equipment. In fact, these difficult operations cause medical accidents, creating social issues to be solved in Japan. To help alleviate this problem, we have been developing a practical endoscopic surgery simulator to be used as an effective training method. In contrast to the functionalities of commercialized common surgical simulators, our system allows medical professionals to use patient-specific data in "rehearsal" operations, potentially preventing possible complications in advance.