Voxel-based modeling and quantification of the proximal femur using inter-subject registration of quantitative CT images
Voxel-based modeling and quantification of the proximal femur using inter-subject registration of quantitative CT images
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DOI：
10.1016/j.bone.2007.07.006
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发表时间：
2007-11-01
期刊：
影响因子：
4.1
通讯作者：
Lang, Thomas
中科院分区：
文献类型：
--
作者：
Li, Wenjun;Kezele, Irina;Lang, Thomas
我们开发了一个通用框架，该框架采用定量计算机断层扫描（QCT）成像和主体间图像配准来模拟髋关节的三维结构，目的是量化骨骼空间分布的变化，因为它受到衰老，药物治疗或机械卸载的影响。我们采用刚性和非刚性主体间配准技术，将髋关节QCT扫描组转换为共同参考空间，并构建复合股骨近端模型。我们将这项技术应用于对16名宇航员的纵向研究，这些宇航员在国际空间站（ISS）的4-6个月的太空飞行中平均遭受了高度的髋骨密度损失。我们比较了飞行前和飞行后的复合髋关节模型，观察了骨质流失分布的梯度。我们在体素的基础上进行配对t检验，使用错误发现率（FDR）校正多重比较，并观察股骨近端内显示最显著骨质流失的区域。为了验证我们的注册算法，我们选择了16次飞行前扫描，并为每次扫描手动标记了4个地标。配准后，映射的地标与目标扫描中对应地标的平均距离为2.56 mm。人工地标识别的平均误差为1.70 mm。(c) 2007爱思唯尔公司版权所有。
We have developed a general framework which employs quantitative computed tomography (QCT) imaging and inter-subject image registration to model the three-dimensional structure of the hip, with the goal of quantifying changes in the spatial distribution of bone as it is affected by aging, drug treatment or mechanical unloading. We have adapted rigid and non-rigid inter-subject registration techniques to transform groups of hip QCT scans into a common reference space and to construct composite proximal femoral models. We have applied this technique to a longitudinal study of 16 astronauts who on average, incurred high losses of hip bone density during spaceflights of 4-6 months on the International Space Station (ISS). We compared the pre-flight and post-flight composite hip models, and observed the gradients of the bone loss distribution. We performed paired t-tests, on a voxel by voxel basis, corrected for multiple comparisons using false discovery rate (FDR), and observed regions inside the proximal femur that showed the most significant bone loss. To validate our registration algorithm, we selected the 16 pre-flight scans and manually marked 4 landmarks for each scan. After registration, the average distance between the mapped landmarks and the corresponding landmarks in the target scan was 2.56 mm. The average error due to manual landmark identification was 1.70 mm. (c) 2007 Elsevier Inc. All rights reserved.