课题基金 / 基金详情

ITR: Data-driven Human Knee Modeling for Expert Surgical Planning Systems

ITR: Data-driven Human Knee Modeling for Expert Surgical Planning Systems
ITR:用于专家手术计划系统的数据驱动的人体膝关节建模
批准号:
0325920
负责人:
Branislav Jaramaz
金额:
$104.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-09-15 至 2008-08-31
关键词:

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
这项工作正在开发一种患者特定的模拟工具,该工具结合了医学图像和功能运动测量,以创建一个可靠的生物力学模型,适用于植入植入物后患者膝关节生物力学的术前和术中模拟。 目前还没有患者特定的生物力学模拟器,患者的结果和生活质量应该通过产生医疗器械和移植物的理想放置的能力来改善。 这项工作涉及开发一种基于平行运动学结构的新型膝关节生物力学结构;根据磁共振图像自动生成患者特定的关节解剖学几何模型,并根据运动捕捉数据推导软组织信息;以及外科手术计划器,用于确定期望的植入位置的性能,找到植入物的最佳放置,并行运动学描述更忠实地表示膝关节的运动,膝关节经历复杂的扭转运动,当前技术试图用串联链中的简单旋转关节来建模。 然后通过将植入物插入平行结构并模拟结果,并优化植入物的放置以最大限度地改善手术的积极结果,来模拟潜在的手术结果。 除了这项研究的技术成就外,更广泛的结果将包括改善手术结果和接受膝关节植入物和移植手术的患者的生活质量。
英文摘要
This work is developing a patient specific simulation tool that combines medical images and functional motion measurements to create a reliable biomechanical model suitable for pre- and intraoperative simulation of a patient's knee biomechanics after insertion of a implant. There currently exists no patient specific biomechanics simulator, and patient outcomes and quality of life should be improved through the ability to produce an ideal placement of medical devices and grafts. The work involves development of a novel knee biomechanical structure, based on parallel kinematic structures; automatic generation of patient-specific geometric models of joint anatomy from magnetic resonance images and deduction of soft-tissue information from motion capture data; and a surgical planner to determine the performance of a desired implant location, find the optimal placement of the implant, and simulate postoperative joint performance.The parallel kinematic description more faithfully represents the motion of a knee, which undergoes complex twist motions that current techniques attempt to model with simple revolute joints in a serial chain. Potential surgical outcomes are then modeled by inserting implants into the parallel structure and simulating the outcome, and optimizing the placement of the implant to maximally improve the positive results of the procedure. In addition to the technical achievements of this research, the broader outcome will include improved surgical results and quality of life for patients undergoing knee implant and graft procedures.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: