A novel CT acquisition and analysis technique for breathing motion modeling.
A novel CT acquisition and analysis technique for breathing motion modeling.
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DOI：
10.1088/0031-9155/58/11/l31
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发表时间：
2013-06-07
影响因子：
3.5
通讯作者：
Lamb JM
中科院分区：
文献类型：
--
作者：
Low DA;White BM;Lee PP;Thomas DH;Gaudio S;Jani SS;Wu X;Lamb JM
报告一种为呼吸运动建模提供无伪影定量4DCT图像数据集的新技术。商业临床四维计算机断层扫描（4DCT）方法在管理不规则呼吸方面存在困难。所得到的图像包含运动引起的伪影，其可以使结构失真并且不准确地表征呼吸运动。我们已经开发了一种新的扫描和分析方法，运动相关的CT，利用标准的重复快速螺旋采集，同时呼吸替代测量，变形图像配准，和已发表的呼吸运动模型。运动模型与CT测量的运动平均相差0.72 mm，表明运动模型的精度。运动模型参数之一的发散的积分被预测为常数1.11，并且在这种情况下被发现为1.09，指示运动模型的精度。所提出的技术显示出在用户选择的呼吸相位、准确的Hounsfield单位和类似于非4D CT技术的噪声特性下，在类似于或小于当前4DCT技术的患者剂量下提供无运动伪影图像的前景。
To report on a novel technique for providing artifact-free quantitative 4DCT image datasets for breathing motion modeling. Commercial clinical four-dimensional computed tomography (4DCT) methods have trouble managing irregular breathing. The resulting images contain motion-induced artifacts that can distort structures and inaccurately characterize breathing motion. We have developed a novel scanning and analysis method for motion-correlated CT that utilizes standard repeated fast helical acquisitions, a simultaneous breathing surrogate measurement, deformable image registration, and a published breathing motion model. The motion model differs from the CT-measured motion by an average of 0.72 mm, indicating the precision of the motion model. The integral of the divergence of one of the motion model parameters is predicted to be a constant 1.11 and is found in this case to be 1.09, indicating the accuracy of the motion model. The proposed technique shows promise for providing motion-artifact free images at user-selected breathing phases, accurate Hounsfield units, and noise characteristics similar to non-4D CT techniques, at a patient dose similar to or less than current 4DCT techniques.