Quantum Iterative Reconstruction for Low-Dose Ultra-High-Resolution Photon-Counting Detector CT of the Lung.
X-ray computed
imaging
lung
phantoms
tomography
Journal
Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402
Informations de publication
Date de publication:
18 Feb 2022
18 Feb 2022
Historique:
received:
17
01
2022
revised:
10
02
2022
accepted:
14
02
2022
entrez:
25
2
2022
pubmed:
26
2
2022
medline:
26
2
2022
Statut:
epublish
Résumé
The aim of this study was to characterize image quality and to determine the optimal strength levels of a novel iterative reconstruction algorithm (quantum iterative reconstruction, QIR) for low-dose, ultra-high-resolution (UHR) photon-counting detector CT (PCD-CT) of the lung. Images were acquired on a clinical dual-source PCD-CT in the UHR mode and reconstructed with a sharp lung reconstruction kernel at different strength levels of QIR (QIR-1 to QIR-4) and without QIR (QIR-off). Noise power spectrum (NPS) and target transfer function (TTF) were analyzed in a cylindrical phantom. 52 consecutive patients referred for low-dose UHR chest PCD-CT were included (CTDI
Identifiants
pubmed: 35204611
pii: diagnostics12020522
doi: 10.3390/diagnostics12020522
pmc: PMC8871296
pii:
doi:
Types de publication
Journal Article
Langues
eng
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