Clinical feasibility of two cardiac deep learning cine magnetic resonance imaging sequences: Single-breath-hold and free-breathing motion-corrected approaches

Q: What problem does the study address in cine CMR?

Cine CMR typically requires prolonged scanning and repeated breathholds, which can be difficult for patients and may reduce consistency. The study targets shorter acquisition times while preserving image quality and quantitative function.

Q: What cine sequences were compared?

The study compared three approaches: 2D segmented cine, 2D single-breath-hold DL cine, and 2D free-breathing motion-corrected DL cine (FB-MOCO DL cine). Acquisition time and downstream image/function metrics were evaluated.

Q: How did acquisition time change with the DL-accelerated sequences?

Compared with segmented cine, total acquisition time decreased substantially for single-breath-hold DL cine and free-breathing motion-corrected DL cine. The reduction was reported as 73% and 62%, respectively.

Sep 29, 2026

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Background: Cine cardiovascular magnetic resonance (CMR) faces prolonged examination times and repeated breathhold challenges. This study assessed the clinical feasibility of deep learning (DL)-accelerated cine sequences, aiming to shorten acquisition time while maintaining comparable image quality and cardiac function. Methods: A prospective cohort underwent 3T CMR from August 2024 to March 2025 using segmented cine, single-breath-hold DL cine, and free-breathing motion-corrected DL cine; acquisition time and multiple image/function metrics were analyzed. Results and conclusion: Eighty-six patients showed markedly reduced total acquisition time with preserved overall image quality and biventricular functional parameters versus segmented cine.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages10

Reading Time25 min

AccessFree to download

Background

Methods

Study design and sequences

Acquisition time recording

Image quality and functional evaluation

Results

Conclusion

Journal of Cardiovascular Magnetic Resonance 27 (2025) 101983 Contents lists available at ScienceDirect Journal of Cardiovascular Magnetic Resonance journal [homepage:](homepage: www.sciencedirect.com/journal/joc mr)[ www.sciencedirect.com/journal/joc mr](homepage: www.sciencedirect.com/journal/joc mr) Original Research Clinical feasibility of two cardiac deep learning cine magnetic resonance imaging sequences: Single-breath-hold and free-breathing motion-corrected approaches Huihui Konga, Zhaozhao Wanga, Zekun Zhoua, Dan YUb, Guang Lic,d, Jinchen Lid, Jianmin Yuanb, Xiangming Lia, Yi Hea,⁎ a Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China b MR Research Collaboration, Shanghai United Imaging Healthcare Co., Ltd. Shanghai, China c Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China dR&D Center, Beijing Shuxi Technology Co., Ltd, Beijing, China A R T I C L E I N F O Keywords: Deep learning Cine Accelerated imaging Free-breathing A B S T R A C T Background: Cine cardiovascular magnetic resonance (CMR) faces the challenges of prolonged examination times and repeated breathhold (BH). This study evaluated the clinical feasibility of deep learning (DL)-accelerated cine sequences, which shorten the acquisition time (AT) while achieving comparable image quality (IQ) and function. Methods: This prospective study included patients who underwent 3T CMR from August 2024 to March 2025. The examination included three cine sequences (2D segmented cine, 2D single-BH DL cine, and 2D freebreathing motion-corrected DL cine [FB-MOCO DL cine]). The actual total AT (including the time for short and long-axis scans, BH instructions, and resting time between BHs) was recorded. The overall IQ, blood pool to myocardium signal ratio (BMC), edge sharpness, three-dimensional volumetric mesh contour quality, biventricular cardiac function parameters, and left ventricular (LV) strain parameters were evaluated. The Friedman test was used to compare the above parameters among the three cine sequences. Correlation analysis and BlandAltman analysis were used to evaluate the correlation and consistency between the two cine sequences. Results: Eighty-six patients were evaluated (52.98 ± 14.34 years, 79% 68/86 male). Compared with segmented cine (239.70 [224.55, 260.15])s, the total AT of single-BH DL cine (63.55 [60.98, 66.00])s and FBMOCO DL cine (90.65 [79.43, 103.80])s decreased by 73% and 62%, respectively. There were no statistically significant differences in overall IQ and biventricular functional parameters among the three cine sequences. The three-dimensional volumetric mesh contour scores of the single-BH DL cine and FB-MOCO DL cine were higher than those of the segmented cine (P < 0.001 and 0.04), but the edge sharpness and BMC were lower than those of the segmented cine. The LV strain of the two fast cine sequences was lower than that of the segmented cine. Conclusion: Compared with traditional segmented cine, DL-accelerated cine enables ventricular imaging in a shorter acquisition time, with preserved IQ and quantitative cardiac function results. 1. Background Cardiovascular magnetic resonance (CMR) is a critical non-invasive modality for evaluating cardiac diseases [1–3]. Cine imaging, in particular, plays a pivotal role in quantifying ventricular volumes and function, offering essential insights for cardiovascular disease diagnosis, therapeutic efficacy assessment, and prognosis prediction [4,5]. The conventional segmented breath-hold (BH) balanced steady-state free precession (bSSFP) cine Abbreviations: AI, artificial intelligence; BMC, blood pool to myocardium signal ratio; BH, breathhold; bSSFP, balanced steady-state free precession; BP, blood pool; CMR, cardiovascular magnetic resonance; CS, compressed sensing; CNN, Convolutional Neural Network; CO, cardiac output; DL, deep learning; ECG, electrocardiogram; EDV, end dias

FAQs

What problem does the study address in cine CMR?

Cine CMR typically requires prolonged scanning and repeated breathholds, which can be difficult for patients and may reduce consistency. The study targets shorter acquisition times while preserving image quality and quantitative function.

What cine sequences were compared?

The study compared three approaches: 2D segmented cine, 2D single-breath-hold DL cine, and 2D free-breathing motion-corrected DL cine (FB-MOCO DL cine). Acquisition time and downstream image/function metrics were evaluated.

How did acquisition time change with the DL-accelerated sequences?

Compared with segmented cine, total acquisition time decreased substantially for single-breath-hold DL cine and free-breathing motion-corrected DL cine. The reduction was reported as 73% and 62%, respectively.

Sep 29, 2026

Upload by Mia