骨数据湖:用于骨质结构分析的存储平台
Marcin Wolski1, Tomasz Woloszynski1, Gwidon Stachowiak1
1Tribology Laboratory, School of Civil and Mechanical Engineering, Curtin University, Perth, WA, Australia.
概括
一个新的骨数据湖 (BDL) 有效地存储和处理用于骨关节炎 (OA) 检测的各种X射线图像数据. 这个平台能够对椎骨质纹理进行可靠的分析,以改善OA预测.
科学领域:
- 医学成像分析分析 医学成像分析
- 骨关节炎的研究研究.
- 数据管理系统数据管理系统
背景情况:
- 来自X射线的脊椎骨 (TB) 纹理分析有助于骨关节炎 (OA) 的检测和预测.
- 挑战包括管理大量和各种格式的成像数据.
研究的目的:
- 提出和评估一个新的存储平台,骨数据湖 (BDL),用于处理各种OA相关的成像数据.
- 为可靠,安全和协作的OA检测系统奠定基础.
主要方法:
- 开发了具有原始数据存储,处理数据存储和数据参考系统的BDL.
- 摄取了各种格式的2万张X射线图像,并将其转换为标准化的TIFF.
- 使用VOT和AVOT编目了TB区域和计算的纹理参数,并将其存储为CSV.
主要成果:
- BDL有效地处理了各种X射线图像格式和大小.
- 自动转换,区域选择和参数计算成功.
- 该系统有效地编目了骨区域和纹理参数.
结论:
- BDL提供了一种高效的解决方案,用于管理OA分析的大规模放射数据.
- 该平台支持OA检测和预测的可靠,安全和协作研究.
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