Referenceless Nyquist ghost correction outperforms standard navigator-based method and improves efficiency of in vivo diffusion tensor cardiovascular magnetic resonance
Referenceless Nyquist ghost correction outperforms standard navigator-based method and improves efficiency of in vivo diffusion tensor cardiovascular magnetic resonance
复制标题
无参考奈奎斯特重影校正优于基于标准导航器的方法，并提高了体内扩散张量心血管磁共振的效率
DOI：
10.1002/mrm.30012
复制
发表时间：
2024
影响因子：
3.3
通讯作者：
Huo Z
中科院分区：
文献类型：
--
作者：
Huo Z
PurposeThe study aims to assess potential of referenceless methods of EPI ghost correction to accelerate acquisition of in vivo diffusion tensor cardiovascular magnetic resonance（DT-CMR）data using both computational simulation and data from in vivo experiments.MethodsThree referenceless EPI ghost correction methods were evaluated on middle ventricular short axis DT-CMR spin echo and STEAM datasets from 20 healthy subjects at 3T.结果数值模拟结果表明，奇异值分解（SVD）方法对噪声的敏感性最低，其次是Ghost/Object方法和熵方法。体内实验表明，所有校正方法都能显著减少重影，无参考方法在b = 32、150、450和600 smm−2$$ {\mathrm{smm}}^{-2} $$时，自旋回波和STEAM序列的性能均优于导航方法。值得注意的是，随着扩散编码强度的增加，无参考方法和基于导航器的方法之间的性能差距会逐渐缩小。ConclusionReferenceless ghost correction有效地减少了DT-CMR数据中的Nyquist ghost，从而有望在临床实践中提高测量的准确性和效率，而无需任何额外的参考扫描。
PurposeThe study aims to assess the potential of referenceless methods of EPI ghost correction to accelerate the acquisition of in vivo diffusion tensor cardiovascular magnetic resonance (DT‐CMR) data using both computational simulations and data from in vivo experiments.MethodsThree referenceless EPI ghost correction methods were evaluated on mid‐ventricular short axis DT‐CMR spin echo and STEAM datasets from 20 healthy subjects at 3T. The reduced field of view excitation technique was used to automatically quantify the Nyquist ghosts, and DT‐CMR images were fit to a linear ghost model for correction.ResultsNumerical simulation showed the singular value decomposition (SVD) method is the least sensitive to noise, followed by Ghost/Object method and entropy‐based method. In vivo experiments showed significant ghost reduction for all correction methods, with referenceless methods outperforming navigator methods for both spin echo and STEAM sequences atb= 32, 150, 450, and 600 smm−2$$ {\mathrm{smm}}^{-2} $$. It is worth noting that as the strength of the diffusion encoding increases, the performance gap between the referenceless method and the navigator‐based method diminishes.ConclusionReferenceless ghost correction effectively reduces Nyquist ghost in DT‐CMR data, showing promise for enhancing the accuracy and efficiency of measurements in clinical practice without the need for any additional reference scans.