Comparison of image quality between Deep learning image reconstruction and Iterative reconstruction technique for CT Brain- a pilot study.
CT Brain
Deep learning image reconstruction
Filtered back projection
Image quality
iDose4
Journal
F1000Research
ISSN: 2046-1402
Titre abrégé: F1000Res
Pays: England
ID NLM: 101594320
Informations de publication
Date de publication:
2024
2024
Historique:
accepted:
12
06
2024
medline:
4
7
2024
pubmed:
4
7
2024
entrez:
4
7
2024
Statut:
epublish
Résumé
Non-contrast Computed Tomography (NCCT) plays a pivotal role in assessing central nervous system disorders and is a crucial diagnostic method. Iterative reconstruction (IR) methods have enhanced image quality (IQ) but may result in a blotchy appearance and decreased resolution for subtle contrasts. The deep-learning image reconstruction (DLIR) algorithm, which integrates a convolutional neural network (CNN) into the reconstruction process, generates high-quality images with minimal noise. Hence, the objective of this study was to assess the IQ of the Precise Image (DLIR) and the IR technique (iDose This is a prospective study. Thirty patients who underwent NCCT brain were included. The images were reconstructed using DLIR-standard and iDose Quantitative IQ analysis showed significant differences (p<0.05) in IN, SNR, and CNR between the iDose DLIR standard yielded superior quantitative and qualitative IQ compared to the IR technique (iDose4). The DLIR-standard significantly reduced the IN and artifacts compared to iDose
Sections du résumé
Background
UNASSIGNED
Non-contrast Computed Tomography (NCCT) plays a pivotal role in assessing central nervous system disorders and is a crucial diagnostic method. Iterative reconstruction (IR) methods have enhanced image quality (IQ) but may result in a blotchy appearance and decreased resolution for subtle contrasts. The deep-learning image reconstruction (DLIR) algorithm, which integrates a convolutional neural network (CNN) into the reconstruction process, generates high-quality images with minimal noise. Hence, the objective of this study was to assess the IQ of the Precise Image (DLIR) and the IR technique (iDose
Methods
UNASSIGNED
This is a prospective study. Thirty patients who underwent NCCT brain were included. The images were reconstructed using DLIR-standard and iDose
Results
UNASSIGNED
Quantitative IQ analysis showed significant differences (p<0.05) in IN, SNR, and CNR between the iDose
Conclusion
UNASSIGNED
DLIR standard yielded superior quantitative and qualitative IQ compared to the IR technique (iDose4). The DLIR-standard significantly reduced the IN and artifacts compared to iDose
Identifiants
pubmed: 38962692
doi: 10.12688/f1000research.150773.1
pmc: PMC11221345
doi:
Banques de données
figshare
['10.6084/m9.figshare.25658829.v7']
Types de publication
Journal Article
Comparative Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
691Informations de copyright
Copyright: © 2024 Chandran M O et al.
Déclaration de conflit d'intérêts
No competing interests were disclosed.