Development of a computational phantom for validation of automated noise measurement in CT images.
CT dose optimization
automated noise calculation
computational phantom
image quality
Journal
Biomedical physics & engineering express
ISSN: 2057-1976
Titre abrégé: Biomed Phys Eng Express
Pays: England
ID NLM: 101675002
Informations de publication
Date de publication:
29 09 2020
29 09 2020
Historique:
received:
02
04
2020
accepted:
26
08
2020
entrez:
9
2
2022
pubmed:
29
9
2020
medline:
15
3
2022
Statut:
epublish
Résumé
The purpose of this study was to develop a computational phantom for validation of automatic noise calculations applied to all parts of the body, to investigate kernel size in determining noise, and to validate the accuracy of automatic noise calculation for several noise levels. The phantom consisted of objects with a very wide range of HU values, from -1000 to +950. The incremental value for each object was 10 HU. Each object had a size of 15 × 15 pixels separated by a distance of 5 pixels. There was no dominant homogeneous part in the phantom. The image of the phantom was then degraded to mimic the real image quality of CT by convolving it with a point spread function (PSF) and by addition of Gaussian noise. The magnitude of the Gaussian noises was varied (5, 10, 25, 50, 75 and 100 HUs), and they were considered as the ground truth noise (N
Identifiants
pubmed: 35135906
doi: 10.1088/2057-1976/abb2f8
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2020 IOP Publishing Ltd.