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• Clinical Article •
Clinical application of free breathing with motion correction artificial intelligence cine sequence of cardiac magnetic resonance in patients with heart failure
RAN Lingping  HUANG Lu  YAN Xianghu  ZHAO Yun  YANG Zhaoxia  ZHOU Shuchang  XIA Liming 

Cite this article as: RAN L P, HUANG L, YAN X H, et al. Clinical application of free breathing with motion correction artificial intelligence cine sequence of cardiac magnetic resonance in patients with heart failure[J]. Chin J Magn Reson Imaging, 2024, 15(3): 62-67, 73. DOI:10.12015/issn.1674-8034.2024.03.011.


[Abstract] Objective To explore the feasibility of free-breathing with motion correction artificial intelligence (FB-MOCO AI) cine sequence of cardiac magnetic resonance (CMR) in patients with heart failure by evaluating the image quality, biventricular volumetric and functional parameters.Materials and Methods From August 2022 to May 2023, 29 patients with heart failure who underwent CMR in our hospital were prospectively consecutive enrolled. All patients underwent cardiac short-axis scans with conventional breath-hold (BH) cine and FB-MOCO AI cine sequences. The overall image quality of the two cine sequences was scored by two radiologists (5-point scale). The parameters of biventricular volume and function including end-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), ejection fraction (EF), and left ventricular end-diastolic mass (LVEDM) were measured. Paired t-test or Wilcoxon signed-rank test were used to assess differences in quantitative data and qualitative scoring data between the two sequences. The correlation analysis of the quantitative parameters between the two sequences was also assessed. Bland-Altman analysis was performed to assess the agreement of quantitative parameters obtained from different sequences.Results The durations of FB-MOCO AI cine [(14.3±1.9) s] scans were significantly shorter than conventional BH cine [(79.2±11.4) s] (P˂0.001). Overall image quality of FB-MOCO AI cine (4.4±0.5) were comparable to conventional BH cine (4.3±0.7) (P=0.343). All measured biventricular volumetric and functional parameters and LVEDM of two cine sequences presented no statistical difference (P˃0.05 for all), and there was excellent correlations (r˃0.94, P˂0.001 for all). Bland-Altman analysis showed that all the quantitative parameters between the two cine sequences had excellent agreement with a mean difference close to zero and a small range of variation.Conclusions Compared to conventional breath-hold cine, the FB-MOCO AI cine method in patients with heart failure achieved comparable image quality and biventricular volumetric and functional parameters with shortened scan times, suggesting it has the potential to replace conventional cine sequence in patients with heart failure for clinical application.
[Keywords] cardiac；heart failure；artificial intelligence；free breathing；motion correction；magnetic resonance imaging

RAN Lingping   HUANG Lu   YAN Xianghu   ZHAO Yun   YANG Zhaoxia   ZHOU Shuchang   XIA Liming*  

Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China

Corresponding author: XIA L M, E-mail: lmxia@tjh.tjmu.edu.cn

Conflicts of interest   None.

Received  2023-09-03
Accepted  2023-12-25
DOI: 10.12015/issn.1674-8034.2024.03.011
Cite this article as: RAN L P, HUANG L, YAN X H, et al. Clinical application of free breathing with motion correction artificial intelligence cine sequence of cardiac magnetic resonance in patients with heart failure[J]. Chin J Magn Reson Imaging, 2024, 15(3): 62-67, 73. DOI:10.12015/issn.1674-8034.2024.03.011.

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