REDUCED-DIMENSIONALITY MATCHING FOR 3-D RECONSTRUCTION OF PROSTATE BRACHYTHERAPY IMPLANTS FROM INCOMPLETE DATA.
REDUCED-DIMENSIONALITY MATCHING FOR 3-D RECONSTRUCTION OF PROSTATE BRACHYTHERAPY IMPLANTS FROM INCOMPLETE DATA.
复制标题
根据不完整数据对前列腺近距离治疗植入物进行 3D 重建的降维匹配。
DOI：
10.1109/isbi.2009.5193235
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Prince,JerryL
中科院分区：
文献类型：
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作者：
Lee,Junghoon;Labat,Christian;Jain,AmeetK;Fichtinger,Gabor;Prince,JerryL
在前列腺近距离放射治疗中，x线透视被广泛应用于术中剂量测定。通过解析放射性粒子的对应关系，可以从多个x射线图像中计算出植入放射性粒子的三维位置。这通常被建模为np困难的分配问题。我们提出了一种算法，该算法允许我们基于实际观察推导出一个等效的降维问题，如果c臂姿态已知，则最优解几乎为零成本。用多项式时间的线性规划有效地解决了约简问题。此外，该方法还解决了种子隐藏问题。仿真结果表明，在c臂姿态已知的情况下，利用3张隐藏种子图像在数秒内对植入种子进行定位，匹配率为98.8%，重建误差小于0.37 mm。
X-ray fluoroscopy is widely used for intra-operative dosimetry in prostate brachytherapy. Three-dimensional locations of the implanted radioactive seeds can be calculated from multiple X-ray images upon resolving the correspondence of seeds. This is usually modeled as an assignment problem that is NP-hard. We propose an algorithm that allows us to derive an equivalent problem of reduced dimensionality based on practical observation that the optimal solution has almost zero cost if the C-arm pose is known. The reduced problem is efficiently solved by linear programming in polynomial time. Additionally, our method solves the hidden seeds problem. Simulation results demonstrate that the implanted seeds can be localized with a matching rate of ges 98.8% and reconstruction error of les 0.37 mm using three images with hidden seeds in a few seconds when the pose of the C-arm is known.