School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China.
Department of Cardiology, the First Affiliated Hospital of Shantou University Medical College, Shantou, China; The Clinical Research Center of the First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Comput Biol Med. 2023 May;157:106743. doi: 10.1016/j.compbiomed.2023.106743. Epub 2023 Mar 11.
The 2D projection space-based motion compensation reconstruction (2D-MCR) is a kind of representative method for 3D reconstruction of rotational coronary angiography owing to its high efficiency. However, due to the lack of accurate motion estimation of the overlapping projection pixels, existing 2D-MCR methods may still have a certain level of under-sampling artifacts or lose accuracy for cases with strong cardiac motion. To overcome this, in this study, we proposed a motion estimation approach based on projective information disentanglement (PID-ME) for 3D reconstruction of rotational coronary angiography. The reconstruction method adopts the framework of 2D-MCR, which is referred to as 2D-PID-MCR. The PID-ME consists of two parts: generation of the reference projection sequence based on the fast simplified distance driven projector (FSDDP) algorithm, motion estimation and correction based on the projective average minimal distance measure (PAMD) model. The FSDDP algorithm generates the reference projection sequence faster and accelerates the whole reconstruction greatly. The PAMD model can disentangle the projection information effectively and estimate the motion of both overlapping and non-overlapping projection pixels accurately. The main contribution of this study is the construction of 2D-PID-MCR to overcome the inherent limitations of the existing 2D-MCR method. Simulated and clinical experiments show that the PID-ME, consisting of FSDDP and PAMD, can estimate the motion of the projection sequence data accurately and efficiently. Our 2D-PID-MCR method outperforms the state-of-the-art approaches in terms of accuracy and real-time performance.
基于二维投影空间的运动补偿重建（2D-MCR）是一种用于旋转冠状动脉造影三维重建的代表性方法，因为它具有高效率。然而，由于重叠投影像素的运动估计不准确，现有的 2D-MCR 方法可能仍然存在一定程度的欠采样伪影，或者对于心脏运动较强的情况会失去准确性。为了克服这一问题，在本研究中，我们提出了一种基于投影信息解缠的运动估计方法（PID-ME），用于旋转冠状动脉造影的三维重建。该重建方法采用 2D-MCR 的框架，称为 2D-PID-MCR。PID-ME 由两部分组成：基于快速简化距离驱动投影仪（FSDDP）算法生成参考投影序列，基于投影平均最小距离度量（PAMD）模型进行运动估计和校正。FSDDP 算法生成参考投影序列更快，大大加速了整个重建过程。PAMD 模型可以有效地解缠投影信息，并准确估计重叠和非重叠投影像素的运动。本研究的主要贡献是构建了 2D-PID-MCR，以克服现有 2D-MCR 方法的固有局限性。模拟和临床实验表明，由 FSDDP 和 PAMD 组成的 PID-ME 可以准确有效地估计投影序列数据的运动。我们的 2D-PID-MCR 方法在准确性和实时性能方面优于最先进的方法。
