University of Central Arkansas, Conway, AR, USA.
Kitware Inc., Carrboro, NC, USA.
AMIA Jt Summits Transl Sci Proc. 2022 May 23;2022:178-185. eCollection 2022.
Arthroscopic Rotator Cuff (ARC) is a minimally invasive surgery of the shoulder. ARC training for surgeons is challenging due to confined space, anatomical complexity, requirement of complex hands-eye coordination skills, subjectivity, and low fidelity in existing training mediums. We therefore offer a virtual reality based photorealistic medical simulation, Virtual Rotator Cuff Arthroscopic Skill Trainer (ViRCAST) for objective training. In this study, as a part of ViRCAST, we introduce a virtual reality-based bone drilling simulation. Bone drilling task is one of the most important tasks that surgeons need to perform before anchor placement in ARC. Realistic simulation of bone drilling with force feedback is complex due to real-time mesh modification and simulation constraints. We introduce a GPU based realtime bone drilling simulation for ViRCAST using an adaptive mesh refinement technique. Our GPU based solution improves the drilling simulation realism by enhancing mesh resolution without sacrificing the simulation performance.
关节镜肩袖 (ARC) 是一种肩部微创手术。由于空间有限、解剖结构复杂、需要复杂的手眼协调技能、主观性以及现有训练媒介保真度低,因此对外科医生进行 ARC 培训具有挑战性。因此,我们提供了一种基于虚拟现实的逼真医学模拟,即虚拟旋转袖关节镜技能训练器 (ViRCAST),用于客观培训。在这项研究中,作为 ViRCAST 的一部分,我们引入了一种基于虚拟现实的骨钻模拟。骨钻任务是外科医生在 ARC 中放置锚之前需要执行的最重要任务之一。由于实时网格修改和模拟约束,具有力反馈的逼真骨钻模拟非常复杂。我们使用自适应网格细化技术为 ViRCAST 引入了一种基于 GPU 的实时骨钻模拟。我们的基于 GPU 的解决方案通过提高网格分辨率而不牺牲模拟性能来提高钻削模拟的真实感。
AMIA Jt Summits Transl Sci Proc. 2022
Comput Biol Med. 2019-9-25
Learn Collab Technol II (2023). 2023-7
Int J Comput Assist Radiol Surg. 2022-10
J Bone Joint Surg Am. 2007-6
Am J Sports Med. 2019-11-13
Ochsner J. 2000-7
IEEE Comput Graph Appl. 2006