Image quality is resilient against tube voltage variations in post-mortem skeletal radiography with a digital flat-panel detector.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
08 04 2021
Historique:
received: 04 06 2020
accepted: 24 03 2021
entrez: 9 4 2021
pubmed: 10 4 2021
medline: 10 4 2021
Statut: epublish

Résumé

In recent phantom studies low-contrast detectability was shown to be independent from variations in tube voltage in digital radiography (DR) systems. To investigate the transferability to a clinical setting, the lower extremities of human cadavers were exposed at constant detector doses with different tube voltages in a certain range, as proposed in the phantom studies. Three radiologists independently graded different aspects of image quality (IQ) in a comparative analysis. The grades show no correlation between IQ and kV, which means that the readers were not able to recognize a significant IQ difference at different kV. Signal-to-noise and contrast-to-noise ratios showed no significant differences in IQ despite the kV-setting variations. These findings were observed from a limited kV range setting. Higher kV-settings resulted in lowest patient exposure at constant IQ. These results confirm the potential of DR-systems to contribute to standardization of examination protocols comparable to computed tomography. This may prevent the trend to overexpose. Further investigations in other body regions and other DR-systems are encouraged to determine transferability.

Identifiants

pubmed: 33833315
doi: 10.1038/s41598-021-87294-9
pii: 10.1038/s41598-021-87294-9
pmc: PMC8032833
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7701

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Auteurs

S Notohamiprodjo (S)

Department of Nuclear Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany. s.notohamiprodjo@tum.de.

K M Roeper (KM)

Department of Ophtalmology, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany.

K M Treitl (KM)

Department of Radiology, University Hospital of Munich, LMU Munich, Munich, Germany.

B Hoberg (B)

Agfa HealthCare Germany GmbH, Bonn, Germany.

F Wanninger (F)

Agfa-Gevaert HealthCare GmbH, Munich, Germany.

L Verstreepen (L)

Agfa HealthCare N.V., Mortsel, Belgium.

F G Mueck (FG)

Department of Radiology, HELIOS Klinikum München West, Munich, Germany.

D Maxien (D)

Radiologie Zentrum München, Munich, Germany.

F Fischer (F)

Institute of Forensic Medicine, LMU Munich, Munich, Germany.

O Peschel (O)

Institute of Forensic Medicine, LMU Munich, Munich, Germany.

S Wirth (S)

Institute of Radiology, Schwarzwald-Baar Klinikum, Villingen-Schwenningen, Germany.

Classifications MeSH