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首页> 外文期刊>IEEE Transactions on Biomedical Engineering >3-D Reconstruction of the Spine From Biplanar Radiographs Based on Contour Matching Using the Hough Transform
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3-D Reconstruction of the Spine From Biplanar Radiographs Based on Contour Matching Using the Hough Transform

机译:基于霍夫变换轮廓匹配的双平面X射线照片脊柱3-D重建

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The purpose of this study was to develop and evaluate a method for three-dimensional (3-D) reconstruction of the spine from biplanar radiographs. The approach was based on vertebral contour matching for estimating vertebral orientations and locations. Vertebral primitives were initially positioned under constraint of the 3-D spine midline, which was estimated from manually identified control points. Vertebral orientations and locations were automatically adjusted by matching projections of 3-D primitives with vertebral edges on biplanar radiographs based on the generalized Hough transform technique with a deformation tolerant matching strategy. We used graphics processing unit to accelerate reconstruction. Accuracy and precision were evaluated using radiographs from 15 scoliotic patients and a spine model in 24 poses. On in vivo radiographs, accuracy was within 2.8° for orientation and 2.4 mm for location; precision was within 2.3° for orientation and 2.1 mm for location. results were slightly better on model radiographs than on in vivo radiographs but without significance $(p > 0.05)$. The duration for user intervention was less than 2 min, and the computation time was within 3 min. Results indicated the method's reliability. It is a promising tool to determine 3-D spinal geometry with acceptable user interaction.
机译:这项研究的目的是开发和评估一种从双平面X射线照片对脊柱进行三维(3-D)重建的方法。该方法是基于椎骨轮廓匹配来估计椎骨的方向和位置。最初将椎骨基元置于3-D脊柱中线的约束下,该约束是根据人工识别的控制点进行估算的。通过基于具有变形容忍匹配策略的广义Hough变换技术,通过在双平面X射线照片上将3-D图元的投影与椎骨边缘进行匹配,可以自动调整椎骨的方向和位置。我们使用图形处理单元加快了重建速度。使用15例脊柱侧弯患者的X射线照片和24个姿势的脊柱模型评估准确性和准确性。在体内X光片上,定位精度在2.8°之内,位置精度在2.4mm之内;定位精度在2.3°以内,定位精度在2.1mm以内。模型X光片的结果略高于体内X光片,但无显着性 $(p> 0.05)$ 。用户干预的持续时间少于2分钟,计算时间在3分钟以内。结果表明该方法的可靠性。它是一种可以通过可接受的用户交互来确定3-D脊椎几何形状的有前途的工具。

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