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Motion-compensated image reconstruction for cardiac CT with sinogram-based motion estimation

机译:基于正弦图的运动估计用于心脏CT的运动补偿图像重建

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Motion-compensated image reconstruction (MCIR) has been widely studied to reduce artifacts induced by cardiac motion. In this paper, we propose a new approach to estimating the motion of the coronary arteries. We use a simple linear model for the motion of each coronary artery during an axial scan and we estimate the model parameters in the sinogram domain. The purpose of the method is not to estimate the motion of the coronary arteries precisely, but rather to provide good initial estimates for subsequent joint image reconstruction and motion estimation‥ The idea was evaluated with a cardiac CT simulation. Simulation results illustrate that our proposed method can provide reasonably good motion estimates that may be useful for initializing the joint estimation of both motion parameters and reconstructed images.
机译:运动补偿图像重建(MCIR)已被广泛研究以减少由心脏运动引起的伪像。在本文中,我们提出了一种估计冠状动脉运动的新方法。我们使用简单的线性模型在轴向扫描过程中对每个冠状动脉进行运动,并估计正弦图域中的模型参数。该方法的目的不是精确地估计冠状动脉的运动,而是为后续的关节图像重建和运动估计提供良好的初始估计。该想法是通过心脏CT模拟进行评估的。仿真结果表明,我们提出的方法可以提供合理的运动估计,这可能对初始化运动参数和重建图像的联合估计很有用。

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