Improved image quality and dose reduction in abdominal CT with deep-learning reconstruction algorithm: a phantom study.
Artificial intelligence
Deep learning
Image enhancement
Image processing, computer-assisted
Multidetector computed tomography
Journal
European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774
Informations de publication
Date de publication:
Jan 2023
Jan 2023
Historique:
received:
18
05
2022
accepted:
30
06
2022
revised:
27
06
2022
pubmed:
22
7
2022
medline:
20
12
2022
entrez:
21
7
2022
Statut:
ppublish
Résumé
To assess the impact of a new artificial intelligence deep-learning reconstruction (Precise Image; AI-DLR) algorithm on image quality against a hybrid iterative reconstruction (IR) algorithm in abdominal CT for different clinical indications. Acquisitions on phantoms were performed at 5 dose levels (CTDI From Standard to Smoother levels, noise magnitude and average NPS spatial frequency decreased and the detectability (d') of all simulated lesions increased. For both inserts, TTF values were similar for all three AI-DLR levels from 13 to 6 mGy but decreased from Standard to Smoother levels at 1.8 mGy. Compared to the i4 used in clinical practice, d' values were higher using the Smoother and Smooth levels and close for the Standard level. For all dose levels, except at 1.8 mGy, radiologists considered images satisfactory for clinical use for the 3 levels of AI-DLR, but rated images too smooth using the Smoother level. Use of the Smooth and Smoother levels of AI-DLR reduces the image noise and improves the detectability of lesions and spatial resolution for standard and low-dose levels. Using the Smooth level is apparently the best compromise between the lowest dose level and adequate image quality. • Evaluation of the impact of a new artificial intelligence deep-learning reconstruction (AI-DLR) on image quality and dose compared to a hybrid iterative reconstruction (IR) algorithm. • The Smooth and Smoother levels of AI-DLR reduced the image noise and improved the detectability of lesions and spatial resolution for standard and low-dose levels. • The Smooth level seems the best compromise between the lowest dose level and adequate image quality.
Identifiants
pubmed: 35864348
doi: 10.1007/s00330-022-09003-y
pii: 10.1007/s00330-022-09003-y
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
699-710Informations de copyright
© 2022. The Author(s), under exclusive licence to European Society of Radiology.
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