2D/3D reconstruction of a scaled lumbar vertebral model from a single fluoroscopic image
2D/3D reconstruction of a scaled lumbar vertebral model from a single fluoroscopic image
复制标题
从单个荧光图像重建缩放腰椎模型的 2D/3D
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
S. Ferguson
中科院分区：
文献类型：
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作者：
Guoyan Zheng;L. Nolte;S. Ferguson
精确的腰椎三维（3D）模型可以实现基于图像的三维运动学分析。导出三维模型的常用方法是直接分割CT或MRI数据集。然而，这些方法的缺点是昂贵、耗时和/或对患者产生高辐射剂量。在本文中，我们提出了一种从单个二维（2D）侧位透视图像和腰椎的统计形状模型重建缩放的三维腰椎模型的技术。4个尸体腰椎节段（共12个腰椎）被用来验证该技术。为了评估重建的准确性，将横向透视图像重建的表面模型与3D ct扫描重建技术获得的相关地面真值数据进行了比较。对于每种情况，首先使用基于表面的匹配恢复重建表面模型与地面真值模型之间的尺度和刚性转换，然后计算两个离散表面模型之间的距离。用该方法重建所有12节腰椎的表面模型，平均误差为1.0 mm。
Accurate three-dimensional (3D) models of lumbar vertebrae can enable image-based 3D kinematic analysis. The common approach to derive 3D models is by direct segmentation of CT or MRI datasets. However, these have the disadvantages that they are expensive, time-consuming and/or induce high-radiation doses to the patient. In this paper, we present a technique to reconstruct a scaled 3D lumbar vertebral model from a single two-dimensional (2D) lateral fluoroscopic image and a statistical shape model of the lumbar vertebrae. Four cadaveric lumbar spine segments (totally twelve lumbar vertebrae) were used to validate the technique. To evaluate the reconstruction accuracy, the surface models reconstructed from the lateral fluoroscopic images were compared to the associated ground truth data derived from a 3D CT-scan reconstruction technique. For each case, a surface-based matching was first used to recover the scale and the rigid transformation between the reconstructed surface models and the ground truth model before the distances between the two discrete surface models were computed. An average error of 1.0 mm was found when the present technique was used to reconstruct the surface models of all twelve lumbar vertebrae.