第二代冠状动脉追踪冻结技术结合深度学习图像重建算法在较高心率冠状动脉成像中的应用

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Abstract Objective To explore the application value of the second generation of snapshot freeze (SSF2) combined with deep learning image reconstruction algorithm in coronary CT angiography (CCTA) in patients with high heart rate. Methods A total of 62 patients with heart rate≥70 times/min who underwent CCTA examination were retrospectively included, and the tube voltage was 100 kV. The image quality of coronary artery was evaluated subjectively by double-blind method, which was divided into conventional images (group A), SSF1 images (group B), and SSF2 images (group C). Results The comparison of image quality scores and excellent rates among the three groups showed that RCA, PDA, LAD, D, LCX, OM, PLB and RI were significantly different(P<0.05). Coronary artery scores were (2.85±0.72)(group A), (3.38±0.61) (group B), and(3.86±0.34)(group C). The excellence rate of coronary artery was 15.19% (group A), 44.39% (group B), 86.42% (group C) respectively. The comparison of diagnosable rates showed that RCA, PDA, D, LCX, OM, PLB and RI were statistically significant (P<0.05), and LAD was not statistically significant (χ²=4.01,P=0.135). Conclusions SSF2 technology combined with deep learning image reconstruction algorithm can further improve CCTA image quality in patients with high heart rate.

Key words： snapshot freeze deep learning image reconstruction coronary CT angiography image quality

Received: 07 May 2024

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	ZHANG Xiufang
	LUO Chuncai

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ZHANG Xiufang,LUO Chuncai. Application of the second generation of snapshot freeze combined with deep learning image reconstruction algorithm in coronary CT angiography in patients with high heart rate[J]. Med. J. Chin. Peop. Armed Poli. Forc., 2024, 35(10): 847-852.

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https://journal08.magtechjournal.com/Jwk_wjyx/EN/ OR https://journal08.magtechjournal.com/Jwk_wjyx/EN/Y2024/V35/I10/847

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