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An improved periodic optical flow model for cardiac gated image reconstruction

机译:用于心脏门控图像重建的改进周期性光流模型

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Recently we developed a periodic modeling approach for determining the optical flow in a periodic image sequence, which is demonstrated to be beneficial for noise reduction in motion-compensated 4D reconstruction of cardiac gated images. In this approach, a Fourier harmonic model is used to exploit the temporal continuity and periodicity of the motion field in the sequence. In this work, we further develop this approach by exploring the use of a piecewise spatial smoothness constraint (in the form of total variation) on the motion field, which can better accommodate the discontinuity of the motion field at an object boundary. In the experiments, we demonstrated this approach for 4D reconstruction of gated cardiac SPECT images. Our results show that it could lead to further improved reconstruction of the myocardium in spite of strong imaging noise.
机译:最近,我们开发了一种周期性建模方法来确定周期性图像序列中的光流,事实证明,这种方法有利于减少心脏门控图像的运动补偿4D重建中的噪声。在这种方法中,使用傅立叶谐波模型来利用序列中运动场的时间连续性和周期性。在这项工作中,我们通过探索在运动场上使用分段空间平滑度约束(以总变化的形式)来进一步开发这种方法,该约束可以更好地适应物体边界处运动场的不连续性。在实验中,我们证明了这种方法可用于门控心脏SPECT图像的4D重建。我们的结果表明,尽管存在强烈的成像噪声,它仍可以进一步改善心肌的重建。

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