Ming Zhengyang, Pogosyan Arutyun, Christodoulou Anthony G, Finn J Paul, Ruan Dan, Nguyen Kim-Lien
Physics and Biology in Medicine Graduate Program, University of California, Los Angeles, California, USA.
Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
J Magn Reson Imaging. 2025 Jan;61(1):248-262. doi: 10.1002/jmri.29425. Epub 2024 May 6.
Irregular cardiac motion can render conventional segmented cine MRI nondiagnostic. Clustering has been proposed for cardiac motion binning and may be optimized for complex arrhythmias.
To develop an adaptive cluster optimization method for irregular cardiac motion, and to generate the corresponding time-resolved cine images.
Prospective.
Thirteen with atrial fibrillation, four with premature ventricular contractions, and one patient in sinus rhythm.
FIELD STRENGTH/SEQUENCE: Free-running balanced steady state free precession (bSSFP) with sorted golden-step, reference real-time sequence.
Each subject underwent both the sorted golden-step bSSFP and the reference Cartesian real-time imaging. Golden-step bSSFP images were reconstructed using the dynamic regularized adaptive cluster optimization (DRACO) method and k-means clustering. Image quality (4-point Likert scale), signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), edge sharpness, and ventricular function were assessed.
Paired t-tests, Friedman test, regression analysis, Fleiss' Kappa, Bland-Altman analysis. Significance level P < 0.05.
The DRACO method had the highest percent of images with scores ≥3 (96% for diastolic frame, 93% for systolic frame, and 93% for multiphase cine) and the percentages were significantly higher compared with both the k-means and real-time methods. Image quality scores, SNR, and CNR were significantly different between DRACO vs. k-means and between DRACO vs. real-time. Cardiac function analysis showed no significant differences between DRACO vs. the reference real-time.
DRACO with time-resolved reconstruction generated high quality images and has early promise for quantitative cine cardiac MRI in patients with complex arrhythmias including atrial fibrillation.
Stage 2.
心脏运动不规则会导致传统的分段电影磁共振成像无法诊断。聚类方法已被用于心脏运动分类，并且可能针对复杂心律失常进行优化。
开发一种针对不规则心脏运动的自适应聚类优化方法，并生成相应的时间分辨电影图像。
前瞻性研究。
13例心房颤动患者、4例室性早搏患者和1例窦性心律患者。
场强/序列：自由运行的平衡稳态自由进动（bSSFP）序列，采用排序黄金步长、参考实时序列。
每位受试者均接受了排序黄金步长bSSFP序列和参考笛卡尔实时成像检查。使用动态正则化自适应聚类优化（DRACO）方法和k均值聚类对黄金步长bSSFP图像进行重建。评估图像质量（4分李克特量表）、信噪比（SNR）、对比噪声比（CNR）、边缘清晰度和心室功能。
配对t检验、弗里德曼检验、回归分析、弗莱iss卡方检验、布兰德-奥特曼分析。显著性水平P < 0.05。
DRACO方法中评分≥3的图像百分比最高（舒张期帧为96%，收缩期帧为93%，多期电影为93%），与k均值法和实时法相比，这些百分比显著更高。DRACO与k均值法之间以及DRACO与实时法之间的图像质量评分、SNR和CNR存在显著差异。心脏功能分析显示DRACO与参考实时法之间无显著差异。
采用时间分辨重建的DRACO方法生成了高质量图像，对于包括心房颤动在内的复杂心律失常患者的定量电影心脏磁共振成像具有早期应用前景。
2级。
