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首页> 外文会议>3rd frontiers in biomedical devices conference 2008 : Imaging and anatomic interaction ; Simulation and testing ; Device testing ... >GEOMETRY DRIVEN DECISION SUPPORT SYSTEM FOR KNEE TUMOUR MEGA ENDO-PROSTHESIS COMPONENTS SELECTION
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GEOMETRY DRIVEN DECISION SUPPORT SYSTEM FOR KNEE TUMOUR MEGA ENDO-PROSTHESIS COMPONENTS SELECTION

机译：用于膝关节肿瘤内膜假体组件选择的几何驱动决策支持系统

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摘要

The most suitable prosthesis components can be selected based on critical anatomical parameters extracted from 3D reconstructed model of the patient, using the decision support methodology described in this paper. The error measures are used to group the set into 'most suitable' and 'probably suitable' components to be used in the surgery. One of the limitations of modular prostheses is that the effective prosthesis length is usually more than the resection length. Also, most of the standard prostheses do not consider bone deformities (such as curved femur), which limits the selection of FS and TS. If the error measures are higher than acceptable for all combinations of prosthesis components, then the surgeon may decide to go for a patient-specific customized prosthesis.
机译：使用本文所述的决策支持方法，可以根据从患者的3D重建模型中提取的关键解剖参数来选择最合适的假体组件。错误度量用于将集合分为要在手术中使用的“最合适”和“最合适”组件。模块化假体的局限性之一是有效假体长度通常大于切除长度。而且，大多数标准假体不考虑骨变形（例如弯曲的股骨），这限制了FS和TS的选择。如果误差测量值高于所有假体组件组合可接受的误差，则外科医生可能会决定选择针对患者的定制假体。

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