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Streak artifact reduction in cardiac cone beam CT

机译:减少心脏锥束CT的条纹伪影

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摘要

Cone beam reconstructed cardiac CT images suffer from characteristic streak artifacts that affect the quality ofcoronary artery imaging. These artifacts arise from inhomogeneous distribution of noise. While in non-taggedreconstruction inhomogeneity of noise distribution is mainly due to anisotropy of the attenuation of the scannedobject (e.g. shoulders), in cardiac imaging it is largely influenced by the non-uniform distribution of the acquireddata used for reconstructing the heart at a given phase. We use a cardiac adaptive filter to reduce these streaks. Indifference to previous methods of adaptive filtering that locally smooth data points on the basis of their attenuationvalues, our filter is applied as a function of the noise distribution of the data as it is used in the phase selectivereconstruction. We have reconstructed trans-axial images without adaptive filtering, with a regular adaptive filterand with the cardiac adaptive filter. With the cardiac adaptive filter significant reduction of streaks is achieved, andthus image quality is improved. The coronary vessel is much more pronounced in the cardiac adaptive filteredimages, in slab MIP the main coronary artery branches are more visible, and non-calcified plaque is betterdifferentiated from vessel wall. This improvement is accomplished without altering significantly the borderdefinition of calcified plaques.
机译:锥形束重建的心脏CT图像具有特征性条纹伪影,这些伪影会影响冠状动脉成像的质量。这些伪像是由噪声的不均匀分布引起的。尽管在非标记重建中,噪声分布的不均匀性主要是由于被扫描物体(例如肩膀)的衰减的各向异性,但在心脏成像中,噪声分布在很大程度上受到用于在给定阶段重建心脏的采集数据的不均匀分布的影响。我们使用心脏自适应滤波器来减少这些条纹。与以前的自适应滤波方法(基于其衰减值在本地对数据点进行平滑处理)无动于衷,我们将其滤波器应用于数据的噪声分布,因为它是在相位选择性重建中使用的。我们使用常规的自适应滤波器和心脏自适应滤波器在没有自适应滤波的情况下重建了跨轴图像。使用心脏自适应滤波器,可以显着减少条纹,从而提高图像质量。在心脏适应性滤过图像中,冠状动脉更加明显,在平板MIP中,主要的冠状动脉分支更明显,未钙化的斑块与血管壁的分化更好。无需显着改变钙化斑块的边界定义即可实现这一改进。

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