作者
Domenico De Santis, Tiziano Polidori, Giuseppe Tremamunno, Carlotta Rucci, Giulia Piccinni, Marta Zerunian, Luca Pugliese, Antonella Del Gaudio, Gisella Guido, Luca Barbato, Andrea Laghi, Damiano Caruso
发表日期
2023/4
期刊
La radiologia medica
卷号
128
期号
4
页码范围
434-444
出版商
Springer Milan
简介
Purpose
To perform a comprehensive intraindividual objective and subjective image quality evaluation of coronary CT angiography (CCTA) reconstructed with deep learning image reconstruction (DLIR) and to assess correlation with routinely applied hybrid iterative reconstruction algorithm (ASiR-V).
Material and methods
Fifty-one patients (29 males) undergoing clinically indicated CCTA from April to December 2021 were prospectively enrolled. Fourteen datasets were reconstructed for each patient: three DLIR strength levels (DLIR_L, DLIR_M, and DLIR_H), ASiR-V from 10% to 100% in 10%-increment, and filtered back-projection (FBP). Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) determined objective image quality. Subjective image quality was assessed with a 4-point Likert scale. Concordance between reconstruction algorithms was assessed by Pearson correlation coefficient.
Results
DLIR …
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