对肌肉骨组织的可靠和代表性DVC测量的概述
Gianluca Tozzi1, Enrico Dall'Ara2,3
1Centre for Advanced Manufacturing and Materials, School of Engineering, University of Greenwich, London, UK.
Journal of microscopy
|July 10, 2025
概括
数字体积相关性 (DVC) 量化了肌肉骨组织中的3D应变. 本综述涵盖了DVC在生物力学,组织工程和改善肌肉骨健康的临床翻译方面的进展,挑战和应用.
科学领域:
- 生物力学 生物力学
- 生物材料科学 生物材料科学
- 医疗成像医学成像
背景情况:
- 肌肉骨组织表现出复杂的等级结构和机械异质性.
- 准确地描述这些组织是具有挑战性的.
- 数字体积相关 (DVC) 是一种非破坏性成像技术,用于量化内部3D应变场.
研究的目的:
- 审查DVC用于肌肉骨组织分析的最新进展.
- 确定关键的技术挑战,并讨论改善DVC准确性和可靠性的策略.
- 探索DVC在研究和临床应用中的新兴机会.
主要方法:
- 审查数字体积相关性 (DVC) 的最新进展.
- 识别技术挑战:组织接口,边界效应,不确定性量化.
- 讨论提高测量准确性和可靠性的策略.
主要成果:
- 在矿化和软组织中,DVC的应用涵盖了器官到组织层面的机械学.
- 在体内研究中越来越多地使用DVC,并与计算建模相结合.
- 将DVC与深度学习集成在一起,用于预测移位和应变场分析.
结论:
- DVC是研究肌肉骨生物力学和生物材料的宝贵工具.
- 解决技术挑战和利用机器学习可以提高DVC的精度和自动化.
- 未来的机会包括临床翻译和强大的DVC工作流程,用于肌肉骨健康和组织工程.
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