CT artifacts after contrast media injection in chest imaging: evaluation of post-processing algorithms, virtual monoenergetic images and their combination for artifact reduction.

X-ray computed tomography algorithms artifacts contrast media dual-energy CT spectral-detector CT (SDCT)

Journal

Quantitative imaging in medicine and surgery
ISSN: 2223-4292
Titre abrégé: Quant Imaging Med Surg
Pays: China
ID NLM: 101577942

Informations de publication

Date de publication:
Jan 2021
Historique:
entrez: 4 1 2021
pubmed: 5 1 2021
medline: 5 1 2021
Statut: ppublish

Résumé

After injection into a brachial vein, high contrast media concentration in axillary and subclavian veins can cause artifacts that impair diagnostic utility. This study assessed artifact reduction by artifact-reduction-algorithms (ARA) and virtual-monoenergetic-images (VMI), as well as their combination (VMI Forty-six spectral-detector-CT (SDCT) examinations of patients that received ARA-reconstructions due to perivenous-artifacts were included in this retrospective study. CI, ARA, VMI, and VMI Hypo- and hyperdense artifacts showed significant improvement as evidenced by decreasing attenuation differences between artifact impaired and artifact-free reference tissue in ARA, VMI ≥80 keV, and VMI In presence of perivenous-artifacts, ARA, VMI and their combination allow for significant artifact reduction; however, their combination and VMI as a standalone approach yielded best results and should therefore be used, if available.

Sections du résumé

BACKGROUND BACKGROUND
After injection into a brachial vein, high contrast media concentration in axillary and subclavian veins can cause artifacts that impair diagnostic utility. This study assessed artifact reduction by artifact-reduction-algorithms (ARA) and virtual-monoenergetic-images (VMI), as well as their combination (VMI
METHODS METHODS
Forty-six spectral-detector-CT (SDCT) examinations of patients that received ARA-reconstructions due to perivenous-artifacts were included in this retrospective study. CI, ARA, VMI, and VMI
RESULTS RESULTS
Hypo- and hyperdense artifacts showed significant improvement as evidenced by decreasing attenuation differences between artifact impaired and artifact-free reference tissue in ARA, VMI ≥80 keV, and VMI
CONCLUSIONS CONCLUSIONS
In presence of perivenous-artifacts, ARA, VMI and their combination allow for significant artifact reduction; however, their combination and VMI as a standalone approach yielded best results and should therefore be used, if available.

Identifiants

pubmed: 33392024
doi: 10.21037/qims-20-435
pii: qims-11-01-226
pmc: PMC7719936
doi:

Types de publication

Journal Article

Langues

eng

Pagination

226-239

Informations de copyright

2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/qims-20-435). SL and DZ received research support from Philips Healthcare. NGH received speakers’ honoraria from Philips Healthcare. The other authors have no conflicts of interest to declare.

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Auteurs

Amit Gupta (A)

Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Department of Radiology, Case Western Reserve University, Cleveland, OH, USA.

Verena Carola Obmann (VC)

Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Department of Radiology, Case Western Reserve University, Cleveland, OH, USA.
Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Switzerland.

Michelle Jordan (M)

Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Department of Radiology, Case Western Reserve University, Cleveland, OH, USA.

Simon Lennartz (S)

Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.

Markus Michael Obmann (MM)

Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Basel, Switzerland.

Nils Große Hokamp (N)

Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Department of Radiology, Case Western Reserve University, Cleveland, OH, USA.
Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.

David Zopfs (D)

Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.

Lenhard Pennig (L)

Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.

Gina Fürtjes (G)

Center for Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.

Nikhil Ramaiya (N)

Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Department of Radiology, Case Western Reserve University, Cleveland, OH, USA.

Robert Gilkeson (R)

Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Department of Radiology, Case Western Reserve University, Cleveland, OH, USA.

Kai Roman Laukamp (KR)

Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Department of Radiology, Case Western Reserve University, Cleveland, OH, USA.
Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.

Classifications MeSH