An anthropomorphic phantom representing a prematurely born neonate for digital x-ray imaging using 3D printing: Proof of concept and comparison of image quality from different systems.
Fetus
/ diagnostic imaging
Humans
Image Processing, Computer-Assisted
/ methods
Infant, Newborn
Infant, Premature
/ growth & development
Neonatology
/ methods
Phantoms, Imaging
Printing, Three-Dimensional
Radiation Dosage
Radiographic Image Enhancement
/ methods
Radiography
/ methods
Tomography, X-Ray Computed
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
07 10 2019
07 10 2019
Historique:
received:
05
07
2019
accepted:
19
09
2019
entrez:
9
10
2019
pubmed:
9
10
2019
medline:
30
10
2020
Statut:
epublish
Résumé
An anthropomorphic phantom for image optimization in neonatal radiography was developed, and its usability in optimizing image acquisition and processing demonstrated. The phantom was designed to mimic a patient image of a prematurely born neonate. A clinical x-ray (neonate <1 kg) taken with an effective dose of 11 µSv on a needle-crystal storage phosphor system was retrospectively selected from anonymized images as an appropriate template representing a standard case in neonatology imaging. The low dose level used in clinical imaging results in high image noise content. Therefore, the image had to be processed using structure preserving noise reduction. Pixel values were related to printing material thickness to result in a similar attenuation pattern as the original patient including support mattress. A 3D model generating a similar x-ray attenuation pattern on an image detector as a patient was derived accounting for beam hardening and perspective, and printed using different printing technologies. Best printing quality was achieved using a laser stereolithography printer. Phantom images from different digital radiography systems used in neonatal imaging were compared. Effects of technology, image processing, and radiation dose on diagnostic image quality can be assessed for otherwise identical anthropomorphic neonatal images not possible with patient images, facilitating optimization and standardization of imaging parameters and image appearance.
Identifiants
pubmed: 31591433
doi: 10.1038/s41598-019-50925-3
pii: 10.1038/s41598-019-50925-3
pmc: PMC6779877
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
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