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A Two-step Registration Approach: Application in MRI-based Strain Calculation of the Left Ventricle

机译:一种两步登记方法:在左心室的基于MRI的应变计算中的应用

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Registration and finding anatomical correspondent landmarks amongst the volumetric images in both inter and intra-subject studies are prevalent challenges, especially in the field of cardiac image analysis. On the other hand, among other functional criteria, the strain is promising to identify differences in the early stages of cardiac diseases. This study aims to develop a transformation model on the existing FFD non-rigid registration algorithm using combining the shape-based and the intensity-based approaches. A novel two-step multi-resolution non-rigid FFD-based registration algorithm was proposed to measure the radial strain of the left ventricle during the cardiac cycle using cine-MRI images. The endocardial wall shape information was introduced to improve the registration accuracy by combining the original intensity-based registration with the shape-based registration approach. The proposed algorithm was evaluated on ten sequences of cine-MR images: First, the proposed algorithm was validated by two identified 3D-landmarks and then applied to a healthy subject and an LVH patient to calculate the left ventricle regional radial strain during a cardiac cycle. Regarding two anatomical landmarks, their estimated displacements from our proposed two-step registration algorithm showed a better match with the reference values compared to the classical registration method. Moreover, a comparison of normal and abnormal radial segmental strain values calculated by our proposed algorithm showed a clear difference in their functional properties. The promising results showed that the proposed registration algorithm outperformed the conventional one in terms of the accuracies of the point-tracking.
机译:在帧间和主题研究中的体积图像中注册和找到解剖学对应地标是普遍的挑战,特别是在心脏图像分析领域。另一方面,在其他功能标准中,该菌株具有很有希望识别心脏病早期阶段的差异。本研究旨在使用基于形状和基于强度的方法,在现有的FFD非刚性登记算法上开发变换模型。提出了一种新的两步多分辨率非刚性FFD配准算法,用于使用Cine-MRI图像测量心脏周期左心室的径向菌株。引入了内内膜壁形信息以通过将原始的基于强度的配准与基于形状的登记方法组合来提高登记精度。在10个Cine-MR图像中评估了所提出的算法:首先,通过两个鉴定的3D地标验证所提出的算法,然后应用于健康受试者和LVH患者,以计算心动周期期间左心室区域径向应变。关于两个解剖标志,与我们所提出的两步登记算法的估计位移显示与经典登记方法相比的参考值更好地匹配。此外,通过我们所提出的算法计算的正常和异常径向节段应变值的比较显示了其功能性质的明显差异。有希望的结果表明,在点跟踪的准确性方面,所提出的登记算法表现优于传统的。

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