Tadepalli Srinivas C, Shivanna Kiran H, Magnotta Vincent A, Kallemeyn Nicole A, Grosland Nicole M
Department of Biomedical Engineering, 1402 Seamans Center for the Engineering Arts and Sciences, The University of Iowa Iowa City, IA.
EURASIP J Adv Signal Process. 2010 Jan 1;2010:1902931-1902937. doi: 10.1155/2010/190293.
Computational models of joint anatomy and function provide a means for biomechanists, physicians, and physical therapists to understand the effects of repetitive motion, acute injury, and degenerative diseases. Finite element models, for example, may be used to predict the outcome of a surgical intervention or to improve the design of prosthetic implants. Countless models have been developed over the years to address a myriad of orthopaedic procedures. Unfortunately, few studies have incorporated patient-specific models. Historically, baseline anatomic models have been used due to the demands associated with model development. Moreover, surgical simulations impose additional modeling challenges. Current meshing practices do not readily accommodate the inclusion of implants. Our goal is to develop a suite of tools (virtual instruments and guides) which enable surgical procedures to be readily simulated and to facilitate the development of all-hexahedral finite element mesh definitions.
关节解剖学和功能的计算模型为生物力学家、医生和物理治疗师提供了一种手段,用以了解重复性运动、急性损伤和退行性疾病的影响。例如,有限元模型可用于预测手术干预的结果或改进假体植入物的设计。多年来,已经开发了无数模型来处理各种骨科手术。不幸的是,很少有研究纳入患者特异性模型。从历史上看,由于模型开发的相关要求,一直使用基线解剖模型。此外,手术模拟带来了额外的建模挑战。当前的网格划分方法不容易适应植入物的纳入。我们的目标是开发一套工具(虚拟仪器和导向器),使手术过程能够容易地被模拟,并促进全六面体有限元网格定义的开发。