骨数据 (BoneDat) 是一个标准化骨形态的数据库,用于体分析
Petr Henyš1, Michal Kuchař2,3
1Institute of New Technologies and Applied Informatics, Faculty of Mechatronics, Informatics and Interdisciplinary Studies, Technical University of Liberec, Liberec, 461 17, Czechia.
一个新的数据库,BoneDat,提供了来自CT扫描的标准化人类骨形态数据,提高了计算模型的可靠性和骨科和进化生物学中的研究可重现性.
科学领域:
- 整形外科 整形外科 整形外科
- 进化生物学 进化生物学
- 医疗成像医学成像
- 计算生物学 计算生物学
背景情况:
- 骨结构功能关系的分析至关重要,但由于缺乏标准化,高质量的人类骨形态数据集而受到限制.
- 现有的数据限制阻碍了研究可重现性和用于骨科和进化研究的可靠计算模型的开发.
研究的目的:
- 开发BoneDat,一个标准化骨形态数据的综合数据库,以克服当前研究的局限性.
- 为增强的计算建模提供精选的,规范的骨质几何和参考形态模板.
主要方法:
- 收集和处理了278个临床腰部CT扫描 (骨盆和下脊椎).
- 包括16-91岁的个人,按性别平衡,跨越十个年龄组.
- 生成精选的细分面具,正常化骨几何 (体积网格) 和参考形态模板.
主要成果:
- BoneDat提供了标准化的参考几何,并使形状规范化成为可能,以提高计算模型的可重复性和可信性.
- 数据库促进了其他开放数据集的集成,用于培训和深度学习模型的基准测试.
结论:
- BoneDat提高了骨科和进化生物学中的in silico骨分析的可靠性和可重复性.
- 该数据库加速了深度学习模型的开发和临床应用,用于骨形态分析.
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