一种利用双平面多能x线片将骨材料属性分配到综合患者特定骨盆有限元模型的新方法。

IF 1.7 4区医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2024-12-01 Epub Date: 2023-11-17 DOI:10.1080/10255842.2023.2280764

Ningxin Qiao, Isabelle Villemure, Carl-Eric Aubin

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引用次数: 0

摘要

越来越多的成人脊柱畸形需要长时间的脊柱-骨盆内固定，但由于远端受力和骨质量降低，骨盆固定面临挑战。使用双平面多能x射线(BMEX)建立患者特异性有限元模型(FEM)来评估骨盆固定。校准涉及10例患者，并使用一名81岁的女性测试例进行FEM定制和拉拔模拟验证。校准结果显示，HU的均方根误差为74.7 mg/cm3。模拟准确地复制了565 N力的实验拔出试验，突出了该方法在优化骨盆固定生物力学性能方面的潜力。

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A novel method for assigning bone material properties to a comprehensive patient-specific pelvic finite element model using biplanar multi-energy radiographs.

The increasing prevalence of adult spinal deformity requires long spino-pelvic instrumentation, but pelvic fixation faces challenges due to distal forces and reduced bone quality. Bi-planar multi-energy X-rays (BMEX) were used to develop a patient-specific finite element model (FEM) for evaluating pelvic fixation. Calibration involved 10 patients, and an 81-year-old female test case was used for FEM customization and pullout simulation validation. Calibration yielded a root mean square error of 74.7 mg/cm³ for HU. The simulation accurately replicated the experimental pullout test with a force of 565 N, highlighting the method's potential for optimizing biomechanical performance for pelvic fixation.

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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.