ECG-free cine MRI with data-driven clustering of cardiac motion for quantification of ventricular function.
ECG-free cine MRI with data-driven clustering of cardiac motion for quantification of ventricular function.
复制标题
无心电图电影 MRI，具有数据驱动的心脏运动聚类，用于量化心室功能。
DOI：
10.1002/nbm.5091
复制
发表时间：
2024
影响因子：
2.9
通讯作者：
Nguyen,Kim-Lien
中科院分区：
文献类型：
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作者：
Ming,Zhengyang;Pogosyan,Arutyun;Gao,Chang;Colbert,CarolineM;Wu,HoldenH;Finn,JPaul;Ruan,Dan;Hu,Peng;Christodoulou,AnthonyG;Nguyen,Kim-Lien
背景尽管电影MRI广泛用于评价心脏功能，但现有的真实的时间方法并不容易量化心室功能。此外，分段电影MRI假定心脏运动的周期性。我们的目标是开发一个self-gated，电影MRI采集计划与数据驱动的集群为基础的binning的心脏motion.MethodsA笛卡尔黄金步平衡稳态自由进动序列与sortedk空间排序的设计。图像数据通过屏气采集。主成分分析和k均值聚类用于心脏相位的分箱。在时间维度上的集群紧凑性进行了评估，使用时间变异性，并在空间维度上的分散性进行了评估，使用Calienski-Harabasz指数。使用四点图像质量评分、SNR和CNR值以及Bland-Altman心室功能分析比较了建议和参考心电图（ECG）门控电影方法。时间变异性为45.6 ms（群集）与24.6 ms（基于ECG）（p< 0.001），Calienski-Harabasz指数为59.1 ± 9.1（群集）与22.0 ± 7.1（基于ECG）（p< 0.001）。在窦性心律受试者中，来自群集和参考方法的100%收缩末期和舒张末期图像均获得最高图像质量评分4分。相对于参考电影图像，基于聚类的多相（电影）图像质量始终获得低1分的评分（p< 0.05），而SNR和CNR值无显著差异（p= 0.20）。在心律失常病例中，聚类方法中97.9%的收缩末期和舒张末期图像的图像质量评分为3分或以上。来自集群方法与参考cine.ConclusionECG-免费电影心脏MRI与数据驱动聚类的心脏运动的分箱是可行的，使心脏功能的量化的双心室射血分数和体积的平均偏差值是可以忽略不计的。
BackgroundDespite the widespread use of cine MRI for evaluation of cardiac function, existing real‐time methods do not easily enable quantification of ventricular function. Moreover, segmented cine MRI assumes periodicity of cardiac motion. We aim to develop a self‐gated, cine MRI acquisition scheme with data‐driven cluster‐based binning of cardiac motion.MethodsA Cartesian golden‐step balanced steady‐state free precession sequence with sortedk‐space ordering was designed. Image data were acquired with breath‐holding. Principal component analysis andk‐means clustering were used for binning of cardiac phases. Cluster compactness in the time dimension was assessed using temporal variability, and dispersion in the spatial dimension was assessed using the Caliński–Harabasz index. The proposed and the reference electrocardiogram (ECG)‐gated cine methods were compared using a four‐point image quality score, SNR and CNR values, and Bland–Altman analyses of ventricular function.ResultsA total of 10 subjects with sinus rhythm and 8 subjects with arrhythmias underwent cardiac MRI at 3.0 T. The temporal variability was 45.6 ms (cluster) versus 24.6 ms (ECG‐based) (p< 0.001), and the Caliński–Harabasz index was 59.1 ± 9.1 (cluster) versus 22.0 ± 7.1 (ECG based) (p< 0.001). In subjects with sinus rhythm, 100% of the end‐systolic and end‐diastolic images from both the cluster and reference approach received the highest image quality score of 4. Relative to the reference cine images, the cluster‐based multiphase (cine) image quality consistently received a one‐point lower score (p< 0.05), whereas the SNR and CNR values were not significantly different (p= 0.20). In cases with arrhythmias, 97.9% of the end‐systolic and end‐diastolic images from the cluster approach received an image quality score of 3 or more. The mean bias values for biventricular ejection fraction and volumes derived from the cluster approach versus reference cine were negligible.ConclusionECG‐free cine cardiac MRI with data‐driven clustering for binning of cardiac motion is feasible and enables quantification of cardiac function.