Spectral performance evaluation of a second-generation spectral detector CT.

dual energy CT spectral CT

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:
22 Feb 2024
Historique:
revised: 10 01 2024
received: 08 08 2023
accepted: 23 01 2024
medline: 22 2 2024
pubmed: 22 2 2024
entrez: 22 2 2024
Statut: aheadofprint

Résumé

The aim of this study was to characterize a second-generation wide-detector dual-layer spectral computed tomography (CT) system for material quantification accuracy, acquisition parameter and patient size dependencies, and tissue characterization capabilities. A phantom with multiple tissue-mimicking and material-specific inserts was scanned with a dual-layer spectral detector CT using different tube voltages, collimation widths, radiation dose levels, and size configurations. Accuracy of iodine density maps and virtual monoenergetic images (MonoE) were investigated. Additionally, differences between conventional and MonoE 70 keV images were calculated to evaluate acquisition parameter and patient size dependencies. To demonstrate material quantification and differentiation, liver-mimicking inserts with adipose and iron were analyzed with a two-base decomposition utilizing MonoE 50 and 150 keV, and root mean square error (RMSE) for adipose and iron content was reported. Measured inserts exhibited quantitative accuracy across a wide range of MonoE levels. MonoE 70 keV images demonstrated reduced dependence compared to conventional images for phantom size (1 vs. 27 HU) and acquisition parameters, particularly tube voltage (4 vs. 37 HU). Iodine density quantification was successful with errors ranging from -0.58 to 0.44 mg/mL. Similarly, inserts with different amounts of adipose and iron were differentiated, and the small deviation in values within inserts corresponded to a RMSE of 3.49 ± 1.76% and 1.67 ± 0.84 mg/mL for adipose and iron content, respectively. The second-generation dual-layer CT enables acquisition of quantitatively accurate spectral data without compromises from differences in patient size and acquisition parameters.

Identifiants

pubmed: 38386967
doi: 10.1002/acm2.14300
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14300

Subventions

Organisme : NIH HHS
ID : R01EB030494
Pays : United States

Informations de copyright

© 2024 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

Leening P Liu (LP)

Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Nadav Shapira (N)

Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Sandra S Halliburton (SS)

Philips Healthcare, Orange Village, Ohio, USA.

Sebastian Meyer (S)

Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Amy Perkins (A)

Philips Healthcare, Orange Village, Ohio, USA.

Harold I Litt (HI)

Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Hans Ulrich Kauczor (HU)

Diagnostic and Interventional Radiology (DIR), Heidelberg University Hospital, Heidelberg, Germany.

Tim Leiner (T)

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Wolfram Stiller (W)

Diagnostic and Interventional Radiology (DIR), Heidelberg University Hospital, Heidelberg, Germany.

Peter B Noël (PB)

Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Classifications MeSH