Estimating 3D respiratory motion from orbiting views

R. Zeng, J. Fessler, J. Balter
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引用次数: 4

Abstract

This paper describes a method for estimating 3D respiratory motion so as to characterize tumor motion. This method uses two sets of measurements. One is a reference thorax volume obtained from a conventional fast CT scanner under breath-hold condition. The other is a sequence of projection views of the same patient (acquired at treatment time) using a slowly rotating cone-beam system (1 minute per rotation) during free breathing. We named this method deformation from orbiting views (DOV). Breathing motion over the entire acquisition period is estimated by deforming the reference volume through time so that its projections best match the measured projection views. The nonrigid breathing motion is described by a B-spline based deformation model. The parameters of this model are estimated by minimizing a regularized squared error cost function, using a conjugate gradient descent algorithm. Performance of this approach was evaluated by simulation. Results showed good agreement between the estimated and synthesized motion, with a mean absolute error of 1.63 mm. Relatively larger errors tended to occur in uniform regions, which would not have significant effects on generating deformed volumes based on the estimated motion. The results indicate that it is feasible to estimate realistic nonrigid motion from a sequence of slowly rotating cone beam projection views.
从轨道视图估计三维呼吸运动
本文描述了一种估计三维呼吸运动以表征肿瘤运动的方法。该方法使用两组测量值。一种是在屏气状态下通过常规快速CT扫描仪获得的参考胸腔容积。另一组是同一患者(在治疗时获得)在自由呼吸时使用缓慢旋转锥束系统(每旋转1分钟)的投影视图序列。我们将这种方法命名为轨道视图变形(DOV)。整个采集期间的呼吸运动是通过使参考体积随时间变形来估计的,以便其投影最好地匹配测量的投影视图。非刚性呼吸运动用基于b样条的变形模型来描述。该模型的参数估计是通过最小化一个正则化的平方误差代价函数,使用共轭梯度下降算法。通过仿真对该方法的性能进行了评价。结果表明,估计的运动与合成的运动吻合良好,平均绝对误差为1.63 mm。相对较大的误差往往发生在均匀区域,这不会对基于估计的运动产生变形体产生显著影响。结果表明,从一系列缓慢旋转的锥梁投影视图估计实际非刚性运动是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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