3-D Multi-Articular Models of the Carpus

腕骨 3-D 多关节模型

• 批准号: 7417574
• 负责人: Joseph J Crisco
• 金额: $ 30.66万
• 依托单位: RHODE ISLAND HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-07-01 至 2010-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7417574
• 关键词: 3-Dimensional; Accounting; Affect; Age; Algorithms; Anatomy; Area; Atlases; Biomechanics; Biomedical Computing; Biomedical Engineering; Bone Surface; Bone and Cartilage Funding; Cadaver; Cartilage; Clinical; Clinical Data; Collection; Complex; Computer Simulation; Computing Methodologies; Condition; Data; Data Set; Databases; Development; Disease; Dissection; Distal; Dorsal; Elements; Fiber; Film; Future; Goals; Health; Human; Image; In Vitro; Individual; Injury; Isometric Exercise; Joints; Knee; Laboratories; Lead; Length; Ligaments; Location; Maps; Measurement; Measures; Mechanics; Medical; Methodology; Methods; Minor; Modeling; Motion; Muscle; Musculoskeletal Diseases; Numbers; Operative Surgical Procedures; Pattern; Penetration; Positioning Attribute; Productivity; Property; Protocols documentation; Radial; Range; Rehabilitation therapy; Reporting; Research; Research Personnel; Resolution; Role; Specimen; Statistically Significant; Structure; Surface; Techniques; Testing; Thick; Tissues; Trapezoid bone structure; Trauma; Validation; Woman; Work; Wrist; age group; base; bone; capitate bone; carpus bone; computer science; data modeling; digital; digital models; improved; in vivo; innovation; insight; interest; kinematics; men; model development; models and simulation; novel; pressure; programs; sensor; tool

DESCRIPTION (provided by applicant): In this application we propose to develop a sophisticated, kinematic-driven computational model of the human wrist. Our model will be revolutionary in that it will be fully three-dimensional (3-D), and will include fifteen cartilage-wrapped bones, as well as most carpal ligaments. Current models of the wrist are limited in their sophistication and/or scope. Our model will be driven by subject-specific kinematic data validated against the largest collection of in vivo wrist kinematic data in existence. Development of this model is the logical extension of our previous work which involved the creation and implementation of novel imaging and computational methodologies for the noninvasive measurement of 3-D carpal bone kinematics in vivo. It will involve the refinement of new methodologies to generate high-resolution digital models of the intricate carpal anatomy. The creation and validation of new tools for generating morphological maps of cartilage and ligaments from micro-computed tomograpic images, a novel algorithm for computing cartilage surface deformations, and a novel algorithm for modeling ligament fiber paths constrained to wrap around bony prominences will also be developed. The model will be immediately useful for analyzing the biomechanics of the normal and pathological wrist. In particular, it will provide heretofore unavailable insight into the role of individual wrist ligaments, as well as the implications of altered kinematics on cartilage contact. The model will also be an important intermediate step in our ultimate goal to develop a load-driven, predictive computational model of the wrist. All the bony, cartilage and ligamentous digital anatomy, kinematic data, and mechanical properties generated in the development of this kinematic-driven model will be directly applicable to a load-driven model. A sophisticated computational model of the wrist has the potential to completely transform the field of wrist research, allowing researchers to explore basic questions that could not be answered with traditional experimental methods, and clinicians to evaluate surgical techniques. The model will hasten discovery of how the wrist functions and how wrist function is altered by injury and surgical intervention. These discoveries will lead to new treatments for wrist disease and trauma, which affect men and women of all ages, and account for significant medical expenses and lost productivity each year.

描述（由申请人提供）：在本申请中，我们建议开发一种复杂的、运动学驱动的人类手腕计算模型。我们的模型将是革命性的，因为它将是完全三维 (3-D) 的，并将包括十五块软骨包裹的骨头，以及大多数腕韧带。当前的手腕模型在其复杂程度和/或范围方面受到限制。我们的模型将由针对现有最大的体内手腕运动数据集进行验证的特定主题运动数据驱动。该模型的开发是我们之前工作的逻辑延伸，其中涉及创建和实施新颖的成像和计算方法，用于体内 3D 腕骨运动学的无创测量。它将涉及新方法的完善，以生成复杂的腕骨解剖结构的高分辨率数字模型。还将开发用于从微计算机断层扫描图像生成软骨和韧带形态图的新工具、用于计算软骨表面变形的新算法、以及用于建模约束环绕骨突出的韧带纤维路径的新算法。该模型将立即可用于分析正常和病理手腕的生物力学。特别是，它将提供迄今为止无法深入了解单个手腕韧带的作用，以及改变运动学对软骨接触的影响。该模型也将成为我们最终目标的重要中间步骤，即开发负载驱动的手腕预测计算模型。在该运动学驱动模型的开发过程中生成的所有骨、软骨和韧带数字解剖学、运动学数据和机械特性将直接适用于负载驱动模型。复杂的手腕计算模型有可能彻底改变手腕研究领域，使研究人员能够探索传统实验方法无法回答的基本问题，并使临床医生能够评估手术技术。该模型将加速发现手腕的功能以及手腕功能如何因受伤和手术干预而改变。这些发现将带来针对手腕疾病和创伤的新疗法，这些疾病影响所有年龄段的男性和女性，每年造成巨额医疗费用和生产力损失。