Image Quality Improvement of Dynamic Contrast-Enhanced Gradient Echo Magnetic Resonance Imaging by Iterative Denoising and Edge Enhancement.


Journal

Investigative radiology
ISSN: 1536-0210
Titre abrégé: Invest Radiol
Pays: United States
ID NLM: 0045377

Informations de publication

Date de publication:
01 07 2021
Historique:
pubmed: 2 3 2021
medline: 16 10 2021
entrez: 1 3 2021
Statut: ppublish

Résumé

The aim of this study was to investigate the impact of a novel edge enhancement and iterative denoising algorithm in 1.5-T T1-weighted dynamic contrast-enhanced (DCE) gradient echo (GRE) magnetic resonance imaging of the abdomen on image quality, noise levels, diagnostic confidence, and lesion detectability. Fifty patients who underwent a clinically indicated magnetic resonance imaging with DCE imaging of the abdomen between June and August 2020 were included in this retrospective, monocentric, institutional review board-approved study. For DCE imaging, a series of 3 volume interpolated breath-hold examinations (VIBEs) was performed. The raw data of all DCE imaging studies were processed twice, once using standard reconstruction (DCES) and again using an edge enhancement and iterative denoising approach (DCEDE). All imaging studies were randomly reviewed by 2 radiologists independently regarding noise levels, arterial contrast, sharpness of vessels, overall image quality, and diagnostic confidence using a Likert scale ranging from 1 to 4, with 4 being the best. Furthermore, lesion detectability was evaluated using the same ranking system. All 50 imaging studies were successfully reconstructed with both methods. Interreader agreement (Cohen κ) was substantial to perfect for both readers. Arterial contrast and sharpness of vessels were rated superior by both readers with a median of 4 in DCEDE versus a median of 3 in DCES (P < 0.001). Furthermore, noise levels as well as overall image quality were rated higher with a median of 4 in DCEDE compared with a median of 3 in DCES (P < 0.001). Lesion detectability was evaluated to be superior in DCEDE with a median of 4 versus DCES with a median of 3 (P < 0.001). Consequently, diagnostic confidence was also rated to be superior in DCEDE with a median of 4 versus DCES with a median of 3 (P < 0.001). Iterative denoising and edge enhancement are feasible in DCE imaging of the abdomen providing superior arterial contrast, noise levels, and overall image quality. Furthermore, lesion detectability and diagnostic confidence were significantly improved using this novel reconstruction method. Further reduction of acquisition time might be possible via reduction of increased noise levels using this presented method.

Identifiants

pubmed: 33645949
pii: 00004424-202107000-00008
doi: 10.1097/RLI.0000000000000761
doi:

Substances chimiques

Contrast Media 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

465-470

Informations de copyright

Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of interest and sources of funding: none declared. D.N. and S.K. are employees of Siemens Healthcare GmbH.

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Auteurs

Sebastian Gassenmaier (S)

From the Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen.

Judith Herrmann (J)

From the Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen.

Dominik Nickel (D)

MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.

Stephan Kannengiesser (S)

MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.

Saif Afat (S)

From the Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen.

Ferdinand Seith (F)

From the Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen.

Rüdiger Hoffmann (R)

From the Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen.

Ahmed E Othman (AE)

From the Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen.

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