Usefulness of second-generation motion correction algorithm in improving delineation and reducing motion artifact of coronary computed tomography angiography

工件(错误) 医学 计算机断层血管造影 冠状动脉造影 计算机断层摄影术 放射科 运动(物理) 算法 人工智能 心脏病学 计算机科学 心肌梗塞
作者
Shintaro Yamaguchi,Yasutaka Ichikawa,Masafumi Takafuji,Hajime Sakuma,Kakuya Kitagawa
出处
期刊:Journal of Cardiovascular Computed Tomography [Elsevier]
标识
DOI:10.1016/j.jcct.2024.02.008
摘要

Abstract

Background

The purpose of this study was to investigate the usefulness of second-generation intra-cycle motion correction algorithm (SnapShot Freeze 2, GE Healthcare, MC2) in improving the delineation and interpretability of coronary arteries in coronary computed tomography angiography (CCTA) compared to first-generation intra-cycle motion correction algorithm (SnapShot Freeze, GE Healthcare, MC1).

Methods

Fifty consecutive patients with known or suspected coronary artery disease who underwent CCTA on a 256-slice CT scanner were retrospectively studied. CCTA were reconstructed with three different algorithms: no motion correction (NMC), MC1, and MC2. The delineation of coronary arteries on CCTA was qualitatively rated on a 5-point scale from 1 (nondiagnostic) to 5 (excellent) by two radiologists blinded to the reconstruction method and the patient information.

Results

On a per-vessel basis, the delineation scores of coronary arteries were significantly higher on MC2 images compared to MC1 images (median [interquartile range], right coronary artery, 5.0 [4.5–5.0] vs 4.5 [4.0–5.0]; left anterior descending artery, 5.0 [4.5–5.0] vs 4.5 [3.5–5.0]; left circumflex artery, 5.0 [4.5–5.0] vs 4.5 [3.9–5.0]; all p ​< ​0.05). On a per-segment basis, for both 2 observers, the delineation scores on segment 1, 2, 8, 9, 10, 12 and 13 on MC2 images were significantly better than those on MC1 images (p ​< ​0.05). The percentage of interpretable segments (rated score 3 or greater) on NMC, MC1, and MC2 images was 90.5–91.9%, 97.4–97.9%, and 100.0%, respectively.

Conclusion

Second-generation intra-cycle motion correction algorithm improves the delineation and interpretability of coronary arteries in CCTA compared to first-generation algorithm.
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