Analysis and Evaluation of a Deep Learning Reconstruction Approach with Denoising for Orthopedic MRI.

Deep Learning Hip Image Analysis MR-Imaging MRI Reconstruction Method Neural Networks Observer Performance Physics Shoulder Signal-to-Noise Ratio Technology Assessment

Journal

Radiology. Artificial intelligence
ISSN: 2638-6100
Titre abrégé: Radiol Artif Intell
Pays: United States
ID NLM: 101746556

Informations de publication

Date de publication:
Nov 2021
Historique:
received: 23 11 2020
revised: 21 06 2021
accepted: 23 07 2021
entrez: 6 12 2021
pubmed: 7 12 2021
medline: 7 12 2021
Statut: epublish

Résumé

To evaluate two settings (noise reduction of 50% or 75%) of a deep learning (DL) reconstruction model relative to each other and to conventional MR image reconstructions on clinical orthopedic MRI datasets. This retrospective study included 54 patients who underwent two-dimensional fast spin-echo MRI for hip ( Both denoising settings of the DL reconstruction showed improved edge sharpness, rSNR, and rCNR relative to the conventional reconstructions. The reader rankings demonstrated strong agreement, with both DL reconstructions outperforming the conventional approach (Gwet agreement coefficient = 0.98). However, there was lower agreement between the readers on which DL reconstruction denoising setting produced higher-quality images (Gwet agreement coefficient = 0.31 for DL 50 and 0.35 for DL 75). The vendor-provided DL MRI reconstruction showed higher edge sharpness, rSNR, and rCNR in comparison with conventional methods; however, optimal levels of denoising may need to be further assessed.

Identifiants

DOI: 10.1148/ryai.2021200278 PMID: 34870214 PMC: PMC8637471
pubmed: 34870214
doi: 10.1148/ryai.2021200278
pmc: PMC8637471
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e200278

Informations de copyright

2021 by the Radiological Society of North America, Inc.

Déclaration de conflit d'intérêts

Disclosures of Conflicts of Interest: K.M.K. institution received a grant from GE Healthcare. M.S. disclosed no relevant relationships. V.E.A. disclosed no relevant relationships. S.B. disclosed no relevant relationships. R.A. disclosed no relevant relationships. A.S.N. institution received funding from GE Healthcare for work in neuroimaging MRI technology development and dissemination; is an inventor on patents including MRI technology focusing on multispectral imaging and magnetic field measurement and modulation; is a scientific advisor for and holds stock in Vasognosis, a start-up company focused on neurovascular imaging applications. R.M.L. is employed by and holds stock options in GE Healthcare; GE Healthcare has patents pending on the algorithms used in this work, but no money has been received. G.M. is employed by GE Healthcare; has been issued U.S. patent no. US10635943B1. S.S.K. is employed by GE Healthcare; received royalties from the Medical College of Wisconsin for a licensed patent unrelated to this work that was filed in 2015. D.V. disclosed no relevant relationships. M.R.S. disclosed no relevant relationships. S.F. disclosed no relevant relationships. R.M. disclosed no relevant relationships.

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Auteurs

Kevin M Koch (KM)

Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226 (K.M.K., M.S., V.E.A., S.B., R.A., A.S.N., M.R.S., S.F., R.M.); Department of MR Applications and Workflow, GE Healthcare, Waukesha, Wis (R.M.L., G.M., S.S.K.); and Center for Diagnostic Imaging, Milwaukee, Wis (D.V.).
ORCID: 0000-0003-4490-9761

Mohammad Sherafati (M)

Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226 (K.M.K., M.S., V.E.A., S.B., R.A., A.S.N., M.R.S., S.F., R.M.); Department of MR Applications and Workflow, GE Healthcare, Waukesha, Wis (R.M.L., G.M., S.S.K.); and Center for Diagnostic Imaging, Milwaukee, Wis (D.V.).

V Emre Arpinar (VE)

Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226 (K.M.K., M.S., V.E.A., S.B., R.A., A.S.N., M.R.S., S.F., R.M.); Department of MR Applications and Workflow, GE Healthcare, Waukesha, Wis (R.M.L., G.M., S.S.K.); and Center for Diagnostic Imaging, Milwaukee, Wis (D.V.).

Sampada Bhave (S)

Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226 (K.M.K., M.S., V.E.A., S.B., R.A., A.S.N., M.R.S., S.F., R.M.); Department of MR Applications and Workflow, GE Healthcare, Waukesha, Wis (R.M.L., G.M., S.S.K.); and Center for Diagnostic Imaging, Milwaukee, Wis (D.V.).
ORCID: 0000-0003-3317-5213

Robin Ausman (R)

Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226 (K.M.K., M.S., V.E.A., S.B., R.A., A.S.N., M.R.S., S.F., R.M.); Department of MR Applications and Workflow, GE Healthcare, Waukesha, Wis (R.M.L., G.M., S.S.K.); and Center for Diagnostic Imaging, Milwaukee, Wis (D.V.).

Andrew S Nencka (AS)

Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226 (K.M.K., M.S., V.E.A., S.B., R.A., A.S.N., M.R.S., S.F., R.M.); Department of MR Applications and Workflow, GE Healthcare, Waukesha, Wis (R.M.L., G.M., S.S.K.); and Center for Diagnostic Imaging, Milwaukee, Wis (D.V.).

R Marc Lebel (RM)

Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226 (K.M.K., M.S., V.E.A., S.B., R.A., A.S.N., M.R.S., S.F., R.M.); Department of MR Applications and Workflow, GE Healthcare, Waukesha, Wis (R.M.L., G.M., S.S.K.); and Center for Diagnostic Imaging, Milwaukee, Wis (D.V.).
ORCID: 0000-0002-7526-9974

Graeme McKinnon (G)

Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226 (K.M.K., M.S., V.E.A., S.B., R.A., A.S.N., M.R.S., S.F., R.M.); Department of MR Applications and Workflow, GE Healthcare, Waukesha, Wis (R.M.L., G.M., S.S.K.); and Center for Diagnostic Imaging, Milwaukee, Wis (D.V.).
ORCID: 0000-0001-9195-9492

S Sivaram Kaushik (SS)

Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226 (K.M.K., M.S., V.E.A., S.B., R.A., A.S.N., M.R.S., S.F., R.M.); Department of MR Applications and Workflow, GE Healthcare, Waukesha, Wis (R.M.L., G.M., S.S.K.); and Center for Diagnostic Imaging, Milwaukee, Wis (D.V.).

Douglas Vierck (D)

Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226 (K.M.K., M.S., V.E.A., S.B., R.A., A.S.N., M.R.S., S.F., R.M.); Department of MR Applications and Workflow, GE Healthcare, Waukesha, Wis (R.M.L., G.M., S.S.K.); and Center for Diagnostic Imaging, Milwaukee, Wis (D.V.).

Michael R Stetz (MR)

Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226 (K.M.K., M.S., V.E.A., S.B., R.A., A.S.N., M.R.S., S.F., R.M.); Department of MR Applications and Workflow, GE Healthcare, Waukesha, Wis (R.M.L., G.M., S.S.K.); and Center for Diagnostic Imaging, Milwaukee, Wis (D.V.).

Sujan Fernando (S)

Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226 (K.M.K., M.S., V.E.A., S.B., R.A., A.S.N., M.R.S., S.F., R.M.); Department of MR Applications and Workflow, GE Healthcare, Waukesha, Wis (R.M.L., G.M., S.S.K.); and Center for Diagnostic Imaging, Milwaukee, Wis (D.V.).

Rajeev Mannem (R)

Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226 (K.M.K., M.S., V.E.A., S.B., R.A., A.S.N., M.R.S., S.F., R.M.); Department of MR Applications and Workflow, GE Healthcare, Waukesha, Wis (R.M.L., G.M., S.S.K.); and Center for Diagnostic Imaging, Milwaukee, Wis (D.V.).
ORCID: 0000-0002-8149-2523

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