患者无牙下颌骨种植体支撑杆附着系统的自动生成：参数化建模和有限元分析。

IF 1.7 4区医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-06-12 DOI:10.1080/10255842.2025.2516175

Hassen Jemaa, Michael Eisenburger, Michael-Tobias Neuhaus, Andreas Greuling

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引用次数: 0

摘要

本研究的目的是开发一种算法来自动生成一个给定的下颌骨三维模型的杆附着系统。该算法在Grasshopper中实现，生成几何图形，用于分析单边和三边加载条件下不同骨丢失和种植体定位场景对应力分布的影响。结果表明，种植体周围骨的应力主要受骨质流失的影响，而种植体棒的应力受骨质流失和种植体位置的影响。该算法提供了创建针对患者的酒吧附属系统的潜力，旨在提供个性化的决策支持。

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Automated generation of implant-supported bar attachment system for patient-specific edentulous mandible: parametric modelling and finite element analysis.

The aim of this study was to develop an algorithm to automatically generate a bar attachment system for a given mandible 3D model. The algorithm was implemented in Grasshopper to generate geometries for analyzing the effects of different bone loss and implant positioning scenarios on stress distribution under unilateral and trilateral loading conditions. The results indicate that stresses in the peri-implant bone are primarily influenced by bone loss, while stresses in the implant bar are affected by both bone loss and implant position. The algorithm offers the potential to create patient-specific bar attachment systems, aiming at individualised decision support.

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来源期刊

Computer Methods in Biomechanics and Biomedical Engineering 工程技术-工程：生物医学

CiteScore

4.10

自引率

6.20%

发文量

179

审稿时长

4-8 weeks

期刊介绍： The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.