Ma Hua, Dibildox Gerardo, Schultz Carl, Regar Evelyn, van Walsum Theo
Biomedical Imaging Group Rotterdam, Departments of Radiology and Medical Informatics, Erasmus MC, Rotterdam, The Netherlands,
Int J Comput Assist Radiol Surg. 2015 Jun;10(6):695-705. doi: 10.1007/s11548-015-1185-2. Epub 2015 Apr 7.
Intraoperative coronary motion modeling with motion surrogates enables prospective motion prediction in X-ray angiograms (XA) for percutaneous coronary interventions. The motion of coronary arteries is mainly affected by patients breathing and heartbeat. Purpose of our work is therefore to extract coronary motion surrogates that are related to respiratory and cardiac motion. In particular, we focus on respiratory motion surrogates extraction in this paper.
We propose a fast automatic method for extracting patient-specific respiratory motion surrogate from cardiac XA. The method starts with an image preprocessing step to remove all tubular and curvilinear structures from XA images, such as vessels and guiding catheters, followed by principal component analysis on pixel intensities. The respiratory motion surrogate of an XA image is then obtained by projecting its vessel-removed image onto the first principal component.
This breathing motion surrogate was demonstrated to get high correlation with ground truth diaphragm motion (correlation coefficient over 0.9 on average). In comparison with other related methods, the method we developed did not show significant difference (p > 0.05), but did improve robustness and run faster on monoplane and biplane data in retrospective and prospective scenarios.
we developed and evaluated a method in extraction of respiratory motion surrogate from interventional X-ray images that is easy to implement and runs in real time and thus allows extracting respiratory motion surrogates during interventions.
利用运动替代物进行术中冠状动脉运动建模，可在经皮冠状动脉介入治疗的X射线血管造影（XA）中实现前瞻性运动预测。冠状动脉的运动主要受患者呼吸和心跳影响。因此，我们工作的目的是提取与呼吸和心脏运动相关的冠状动脉运动替代物。本文特别关注呼吸运动替代物的提取。
我们提出了一种从心脏XA中提取患者特异性呼吸运动替代物的快速自动方法。该方法首先进行图像预处理步骤，以从XA图像中去除所有管状和曲线结构，如血管和引导导管，然后对像素强度进行主成分分析。然后，通过将其去除血管的图像投影到第一主成分上，获得XA图像的呼吸运动替代物。
该呼吸运动替代物与地面真实膈肌运动具有高度相关性（平均相关系数超过0.9）。与其他相关方法相比，我们开发的方法没有显著差异（p>0.05），但在回顾性和前瞻性场景中，在单平面和双平面数据上确实提高了鲁棒性且运行速度更快。
我们开发并评估了一种从介入性X射线图像中提取呼吸运动替代物的方法，该方法易于实施且实时运行，因此能够在介入过程中提取呼吸运动替代物。
