<p dir="ltr">Robotic surgery has transformed the landscape of minimally invasive procedures, offering unmatched precision and quicker patient recovery times. Despite all these advancements, training surgeons to use these sophisticated surgical systems effectively remains a daunting challenge, primarily due to high costs, limited accessibility, increased learning curve, and inconsistent training quality. Existing training modalities are limited by the high costs of original training robots, logistical challenges, lack of emphasis on hand movements, the necessity of expert presence, and limited scalability and effectiveness. This thesis introduces TrainVR, a low-cost based training system designed to overcome these hurdles and enhance the skillset of surgical trainees. TrainVR integrates affordable Virtual Reality (VR) technology with enhanced fidelity, creating an engaging and realistic training environment. TrainVR is designed to simulate realistic surgical environments and procedures, focusing on the development of motor, cognitive, and spatial skills for tasks required for robotic surgery through computer vision algorithms, gamified environments, performance analytics, and supporting both asynchronous and remote expert-led training scenarios. This system features customizable training modules, enabling trainees to practice a wide array of surgical procedures in a safe, virtual setting. The device also focuses on the importance of user’s hand, clutch, and ergonomics during surgical training which is crucial based on feedback from surgeons. The development of TrainVR involved crafting detailed 3D models of surgical instruments and anatomical structures, by integrating hardware, software and designing a user-friendly interface. We conducted testing with different game environments which compare the performance of the users and provide insights to improve the learning. The thesis concludes by experimenting and proposing new configurations to improve the fidelity and hand tracking which should closely match with the experience provided by the present training simulators at a substantially lower cost. TrainVR’s scalable design and compatibility with standard VR hardware make it accessible to a wide range of institutions, including those with limited resources. By offering a cost-effective, immersive, and adaptive training solution, TrainVR aims to enhance surgical education and ultimately improve patient care outcomes.</p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/26339074 |
| Date | 20 July 2024 |
| Creators | Abhinav Ajith (19180198) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/_b_PROTOTYPING_A_LOW-COST_VIRTUAL_REALITY_VR_ROBOTIC_SURGICAL_TRAINER_b_/26339074 |
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