冠脉掩码引导配准用于连续时间四维心脏CT数据集构建
Coronary Mask Guided Registration for Continuous Time 4D Cardiac CT Dataset Construction
- Tsinghua University（清华大学）
- The Ohio State University（俄亥俄州立大学）
- Massachusetts General Hospital（麻省总医院）
- Harvard Medical School（哈佛医学院）
- Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College（中国医学科学院阜外医院 北京协和医学院）
- Tianjin Medical University General Hospital（天津医科大学总医院）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
该研究提出冠脉掩码引导配准（CMGR）方法，用于构建无伪影、运动保留的连续时间四维心脏CT数据集，其在RCA运动捕获等方面优于现有方法，可支撑心脏CT成像相关研究。
AI中文摘要：
目的：临床心脏CT多期重建通常在舒张末期（ED）或收缩末期（ES）阶段提供可接受的图像质量，但其他阶段可能存在运动伪影，尤其是右冠状动脉（RCA）。这限制了四维心脏CT成像研究中真实值的可用性。我们旨在构建一个通常可作为伪真实值使用的四维心脏CT数据集。方法：我们提出冠脉掩码引导配准（Coronary Mask Guided Registration, CMGR），用于从每位患者的临床多期重建中生成保留运动、减少伪影且连续时间的四维心脏CT序列。为减少伪影，CMGR以ED或ES阶段作为参考阶段，通过形变场对参考体积进行变形以生成序列；为保留运动，CMGR将参考阶段与多期重建的每个非参考阶段进行配准；为在每次配准中捕获RCA及其他心脏结构的运动，CMGR对RCA掩码进行正则化并将其纳入图像域配准；通过将非参考阶段的形变场插值到任意时间来实现时间连续性。结果：在捕获RCA运动并提供合理的RCA形态方面，CMGR优于代表性的图像域配准方法，在捕获全心运动方面表现具有竞争力；此外，CMGR减少了临床多期重建的运动伪影，且CMGR中间帧通常能在离散心脏阶段之间提供合理的过渡。结论：CMGR为构建连续时间四维心脏CT数据集提供了一种有效方法。意义：该数据集可用于系统设计模拟和重建算法开发，从而推动心脏CT成像的进展。
英文摘要：
Objective: Clinical cardiac CT multiphase reconstructions generally provide acceptable image quality in end-diastole (ED) or end-systole (ES) phases, but in other phases may exhibit motion artifacts, especially in the right coronary artery (RCA). This limits ground-truth availability in 4D cardiac CT imaging research. We aim to construct a 4D cardiac CT dataset that is generally suitable to serve as pseudo ground truth. Methods: We propose Coronary Mask Guided Registration (CMGR) to produce a motion-preserved, artifact-reduced, and continuous-time 4D cardiac CT sequence from the clinical multiphase reconstruction of each patient. For artifact reduction, CMGR uses the ED or ES phase as the reference phase and warps the reference volume with deformation fields to produce the sequence. For motion preservation, CMGR registers the reference phase to each non-reference phase of the multiphase reconstruction. To capture the motion of both the RCA and other cardiac structures in each registration, CMGR regularizes RCA masks and incorporates them into image-domain registration. Time-continuity is achieved by interpolating the deformation fields for non-reference phases to arbitrary times. Results: CMGR outperformed representative image-domain registration methods in capturing RCA motion and providing reasonable RCA shape, and showed competitive performance in capturing whole-heart motion. Additionally, CMGR reduced motion artifacts from clinical multiphase reconstructions, and intermediate CMGR frames generally provided plausible transitions between discrete cardiac phases. Conclusion: CMGR provides an effective approach for constructing continuous-time 4D cardiac CT datasets. Significance: The dataset can be used in system design simulations and in reconstruction algorithm development, thereby facilitating advances in cardiac CT imaging.
