Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.
MΞDISIM team, Inria, Palaiseau, France.
PLoS One. 2021 Nov 5;16(11):e0258965. doi: 10.1371/journal.pone.0258965. eCollection 2021.
Cardiac Magnetic Resonance Imaging (MRI) allows quantifying myocardial tissue deformation and strain based on the tagging principle. In this work, we investigate accuracy and precision of strain quantification from synthetic 3D tagged MRI using equilibrated warping. To this end, synthetic biomechanical left-ventricular tagged MRI data with varying tag distance, spatial resolution and signal-to-noise ratio (SNR) were generated and processed to quantify errors in radial, circumferential and longitudinal strains relative to ground truth. Results reveal that radial strain is more sensitive to image resolution and noise than the other strain components. The study also shows robustness of quantifying circumferential and longitudinal strain in the presence of geometrical inconsistencies of 3D tagged data. In conclusion, our study points to the need for higher-resolution 3D tagged MRI than currently available in practice in order to achieve sufficient accuracy of radial strain quantification.
心脏磁共振成像（MRI）允许基于标记原理定量心肌组织变形和应变。在这项工作中，我们研究了使用均衡变形从合成 3D 标记 MRI 定量应变的准确性和精度。为此，生成了具有不同标记距离、空间分辨率和信噪比（SNR）的合成生物力学左心室标记 MRI 数据，并对其进行处理，以定量相对于真实值的径向、周向和纵向应变的误差。结果表明，径向应变比其他应变分量对图像分辨率和噪声更敏感。该研究还表明，在存在 3D 标记数据几何不一致的情况下，定量周向和纵向应变具有稳健性。总之，我们的研究表明，为了实现径向应变定量的足够准确性，需要比目前实践中可用的更高分辨率的 3D 标记 MRI。
