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Trabecular Bone Class Mapping Across Resolutions: Translating Methods from HR-pQCT to Clinical CT

机译:横跨分辨率的小梁骨骼绘图:将HR-PQCT转换为临床CT的方法

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Quantitative assessment of 3D bone microarchitecture in high-resolution peripheral quantitative computed tomography (HR-pQCT) has shown promise in fracture risk assessment and biomechanics, but is limited to the distal radius and tibia. Trabecular microarchitecture classes (TMACs), based on voxel-wise clustering texture and structure tensor features in HRpQCT, is extended in this paper to quantify trabecular bone classes in clinical multi-detector CT (MDCT) images. Our comparison of TMACs in 12 cadaver radii imaged using both HRpQCT and MDCT yields a mean Dice score of up to 0.717 ± 0.040 and visually concordant bone quality maps. Further work to develop clinically viable bone quantitative imaging using HR-pQCT validation could have a significant impact on overall bone health assessment.
机译:在高分辨率外周定量计算断层扫描(HR-PQCT)中的3D骨微体系结构的定量评估显示了裂缝风险评估和生物力学中的承诺,但仅限于远端半径和胫骨。在本文中,基于HRPQCT中的Voxel-Wise聚类纹理和结构张量特征的基于体素 - 明智的聚类纹理和结构张量特征,在临床多探测器CT(MDCT)图像中量化的小梁骨等级来延长了短边值微架构和结构张量特征。我们使用HRPQCT和MDCT成像12个Cadaver半径的TMAC比较产生的平均骰子得分高达0.717±0.040,视觉上的骨质质量图。通过HR-PQCT验证开发临床活性骨量成像的进一步工作可能对整体骨骼健康评估产生重大影响。

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