Post-hoc motion correction for coronary computed tomography angiography without additional radiation dose - Improved image quality and interpretability for “free”
نویسندگان
چکیده
Abstract Objective To evaluate the impact of a motion-correction (MC) algorithm, applicable post-hoc and not dependent on extended padding, image quality interpretability coronary computed tomography angiography (CCTA). Methods Ninety consecutive patients undergoing CCTA latest-generation 256-slice CT device were prospectively included. was performed with prospective electrocardiogram-triggering shortest possible acquisition window (without padding) at 75% R-R-interval. All datasets reconstructed without MC coronaries. The latter exploits minimal padding inherent in cardiac scans this due to data also during short time interval needed for tube reach target currents voltage (“free” multiphase). Two blinded readers independently assessed 4-point Likert scale all segments. Results A total 1,030 segments evaluated. Application both automatic manual centerline tracking resulted significant improvement as compared standard reconstruction (mean score 3.67 [3.50;3.81] vs 3.58 [3.40;3.73], P = 0.005, 3.7 [3.55;3.82] < 0.001, respectively). Furthermore, significantly reduced proportion non-evaluable least one segment from 2% low 0.3%, 14% 3%. Reduction motion artifacts predominantly observed right artery. Conclusions device-specific algorithm improves electrocardiogram-triggered reduces any additional radiation dose exposure.
منابع مشابه
improved image quality of coronary ct angiography using automatic motion correction
background motion artifacts that degrade image quality of coronary ct angiography (ccta) in patients with high heart rates may be reduced with specific automatic motion correction algorithms (amc). conclusions ccta image quality improves significantly with amc in patients with high heart rates and reduces the proportion of non-diagnostic examinations. results mean heart rate during ccta was 61 ...
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ژورنال
عنوان ژورنال: Imaging
سال: 2022
ISSN: ['2732-0960']
DOI: https://doi.org/10.1556/1647.2022.00060