Consistency‐based respiratory motion estimation in rotational angiography
Consistency‐based respiratory motion estimation in rotational angiography
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DOI：
10.1002/mp.12021
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发表时间：
2017-09
期刊：
影响因子：
3.8
通讯作者：
M. Unberath;A. Aichert;S. Achenbach;A. Maier
中科院分区：
文献类型：
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作者：
M. Unberath;A. Aichert;S. Achenbach;A. Maier
目的旋转冠状动脉造影术能够进行3D重建，但会受到扫描内心脏和呼吸运动的影响。当门控处理心脏运动时，呼吸运动需要补偿。最先进的算法依赖于3D-2D配准，这取决于足够质量的初始重建。我们提出了一种直接应用于投影域的补偿方法。它克服了重建的需要，从而补充了最先进的技术。方法基于血管分割和光谱去卷积的虚拟单帧背景减除产生对比管腔的非截断图像。这允许基于数据一致性条件的运动补偿。我们通过优化极线一致性来补偿头尾移位，以（a）设计基于图像的心脏运动替代物，（B）补偿呼吸运动。我们验证了我们的方法在两个数值幻影研究和三个临床病例。结果心脏运动的基于图像的替代物与基于ECG的地面真实值的相关性非常好，Pearson相关性为0.93 ± 0.04。考虑到运动补偿，对于体模实验，目标误差测量分别降低了98%和69%，而对于临床病例，相同的品质因数提高了46 ± 21%。结论所提出的方法完全基于图像，并准确估计由于呼吸和心脏收缩引起的头尾位移。未来的工作将研究实验轨迹和简化单帧减影流水线的可能性。
Purpose Rotational coronary angiography enables 3D reconstruction but suffers from intra‐scan cardiac and respiratory motion. While gating handles cardiac motion, respiratory motion requires compensation. State‐of‐the‐art algorithms rely on 3D‐2D registration that depends on initial reconstructions of sufficient quality. We propose a compensation method that is applied directly in projection domain. It overcomes the need for reconstruction and thus complements the state‐of‐the‐art. Methods Virtual single‐frame background subtraction based on vessel segmentation and spectral deconvolution yields non‐truncated images of the contrasted lumen. This allows motion compensation based on data consistency conditions. We compensate craniocaudal shifts by optimizing epipolar consistency to (a) devise an image‐based surrogate for cardiac motion and (b) compensate for respiratory motion. We validate our approach in two numerical phantom studies and three clinical cases. Results Correlation of the image‐based surrogate for cardiac motion with the ECG‐based ground truth was excellent yielding a Pearson correlation of 0.93 ± 0.04. Considering motion compensation, the target error measure decreased by 98% and 69%, respectively, for the phantom experiments while for the clinical cases the same figure of merit improved by 46 ± 21%. Conclusions The proposed method is entirely image‐based and accurately estimates craniocaudal shifts due to respiration and cardiac contraction. Future work will investigate experimental trajectories and possibilities for simplification of the single‐frame subtraction pipeline.