A Laplace-Hamming Binarization Approach for Second-Generation HR-pQCT Rescues Fine Feature Segmentation.
A Laplace-Hamming Binarization Approach for Second-Generation HR-pQCT Rescues Fine Feature Segmentation.
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用于第二代 HR-pQCT 的拉普拉斯汉明二值化方法挽救了精细特征分割。
DOI：
10.1002/jbmr.4819
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Kazakia,GalateiaJ
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文献类型：
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作者：
Sadoughi,Saghi;Subramanian,Aditya;Ramil,Gabby;Burghardt,AndrewJ;Kazakia,GalateiaJ
尽管第二代高分辨率外周定量计算机断层扫描 (XCTII) 提供了最高分辨率的体内骨微观结构评估，但制造商的标准图像处理协议忽略了小梁和皮质区的精细特征。为了优化精细结构分割，我们实现了基于拉普拉斯-汉明 (LH) 分割的二值化方法，并使用基于标准高斯的二值化和所提出的 LH 分割方法记录了 XCTII 结构分割的再现性和准确性。为了评估重复性，招募了 20 名志愿者（9 名女性，11 名男性；年龄 23-75 岁），并使用制造商的标准体内协议对桡骨和胫骨进行了 3 次重复扫描。为了评估准确性，使用相同的标准体内协议在 XCTII 上扫描尸体结构模型（14 个半径，6 个胫骨），并在 μCT 上以 24.5μm 分辨率进行扫描。 XCTII 图像进行了两次分析 - 首先使用制造商的标准患者评估方案，第二次使用建议的 LH 分割方法。 LH 方法挽救了灰度图像中明显的精细特征，但标准方法忽略或过度呈现（加厚）了这些特征。与标准方法相比，LH 方法显着降低了小梁体积分数 (BV/TV) 和厚度 (Tb.Th) 的误差；然而，小梁分离 (Tb.Sp) 引入了较高的误差。与标准方法相比，LH 方法改善了 XCTII 和 μCT 皮质孔隙率 (Ct.Po) 之间的相关性，并显着减少了皮质孔径 (Ct.Po.Dm) 的误差。与标准方法相比，LH 方法提高了桡骨处的 BV/TV、Tb.Th、Ct.Po 和 Ct.Po.Dm 以及胫骨处的 Ct.Po 的精度。我们的结果表明，所提出的 LH 方法产生了显着改进的二元掩模，减少了比例偏差，并在重要结果指标中提供了更高的准确性和可重复性，所有这些都是由于对小梁和皮质区室中的精细特征进行了更准确的分割。 © 2023 The Authors.Journal of Bone and Mineral Research 由 Wiley periodicals LLC 代表美国骨与矿物质研究学会 (ASBMR) 出版。
Although second‐generation high‐resolution peripheral quantitative computed tomography (XCTII) provides the highest‐resolution in vivo bone microstructure assessment, the manufacturer's standard image processing protocol omits fine features in both trabecular and cortical compartments. To optimize fine structure segmentation, we implemented a binarization approach based on a Laplace–Hamming (LH) segmentation and documented the reproducibility and accuracy of XCTII structure segmentation using both the standard Gaussian‐based binarization and the proposed LH segmentation approach. To evaluate reproducibility, 20 volunteers (9 women, 11 men; aged 23–75 years) were recruited, and three repeat scans of the radii and tibias were acquired using the manufacturer's standard in vivo protocol. To evaluate accuracy, cadaveric structure phantoms (14 radii, 6 tibias) were scanned on XCTII using the same standard in vivo protocol and on μCT at 24.5 μm resolution. XCTII images were analyzed twice—first, with the manufacturer's standard patient evaluation protocol and, second, with the proposed LH segmentation approach. The LH approach rescued fine features evident in the grayscale images but omitted or overrepresented (thickened) by the standard approach. The LH approach significantly reduced error in trabecular volume fraction (BV/TV) and thickness (Tb.Th) compared with the standard approach; however, higher error was introduced for trabecular separation (Tb.Sp). The LH approach improved the correlation between XCTII and μCT for cortical porosity (Ct.Po) and significantly reduced error in cortical pore diameter (Ct.Po.Dm) compared with the standard approach. The LH approach resulted in improved precision compared with the standard approach for BV/TV, Tb.Th, Ct.Po, and Ct.Po.Dm at the radius and for Ct.Po at the tibia. Our results suggest that the proposed LH approach produces substantially improved binary masks, reduces proportional bias, and provides greater accuracy and reproducibility in important outcome metrics, all due to more accurate segmentation of the fine features in both trabecular and cortical compartments. © 2023 The Authors.Journal of Bone and Mineral Researchpublished by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).