Impact of four kVp combinations available in a dual-source CT on the spectral performance of abdominal imaging: A task-based image quality assessment on phantom data.

dual-energy imaging dual-source CT scan spectral performance task-based image quality assessment virtual monoenergetic images

Journal

Journal of applied clinical medical physics
ISSN: 1526-9914
Titre abrégé: J Appl Clin Med Phys
Pays: United States
ID NLM: 101089176

Informations de publication

Date de publication:
Aug 2021
Historique:
revised: 24 04 2021
received: 17 02 2021
accepted: 11 07 2021
pubmed: 28 7 2021
medline: 18 8 2021
entrez: 27 7 2021
Statut: ppublish

Résumé

To compare the spectral performance of four combinations of kVp available in a third generation dual-source CT (DSCT) on abdominal imaging. An image-quality phantom was scanned with a DSCT using four kVp pairs (tube "A" voltage/tube "B" voltage): 100/Sn150 kVp, 90/Sn150 kVp, 80/Sn150 kVp, and 70/Sn150 kVp, classic parameters and dose level for abdomen examination (CTDI Noise magnitude decreased by -55%± 0% between 40 and 70 keV for all kVp pairs. Compared to 70/Sn150 kVp, noise magnitude was increased by 9% ± 0% with 80/Sn150 kVp, by 16% ± 1% with 90/Sn150 kVp and by 24%± 1% with 100/Sn150 kVp. The average NPS spatial frequency (f 70/Sn150 kVp presented the lowest image noise and highest detectability in VMIs of two small focal liver lesions. 100/Sn150 kVp presented the lowest image noise on mixed images and highest accuracy of iodine quantification in iodine images.

Identifiants

pubmed: 34312979
doi: 10.1002/acm2.13369
pmc: PMC8364263
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

243-254

Informations de copyright

© 2021 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine.

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Auteurs

Joël Greffier (J)

Department of medical imaging, Nîmes Medical Imaging Group, CHU Nimes, Univ Montpellier, Nimes, France.

Julien Frandon (J)

Department of medical imaging, Nîmes Medical Imaging Group, CHU Nimes, Univ Montpellier, Nimes, France.

Alexandre Sadate (A)

Department of medical imaging, Nîmes Medical Imaging Group, CHU Nimes, Univ Montpellier, Nimes, France.

Philippe Akessoul (P)

Department of medical imaging, Nîmes Medical Imaging Group, CHU Nimes, Univ Montpellier, Nimes, France.

Asmaa Belaouni (A)

Department of medical imaging, Nîmes Medical Imaging Group, CHU Nimes, Univ Montpellier, Nimes, France.

Jean-Paul Beregi (JP)

Department of medical imaging, Nîmes Medical Imaging Group, CHU Nimes, Univ Montpellier, Nimes, France.

Djamel Dabli (D)

Department of medical imaging, Nîmes Medical Imaging Group, CHU Nimes, Univ Montpellier, Nimes, France.

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