Leveraging Physics-Based Synthetic MR Images and Deep Transfer Learning for Artifact Reduction in Echo-Planar Imaging

Catalina Raymond; Jingwen Yao; Bryan Clifford; Thorsten Feiweier; Sonoko Oshima; Donatello Telesca; Xiaodong Zhong; Heiko Meyer; Richard G. Everson; Noriko Salamon; Timothy F. Cloughesy; Benjamin M. Ellingson

doi:10.3174/ajnr.A8566

Research ArticleArtificial Intelligence

Leveraging Physics-Based Synthetic MR Images and Deep Transfer Learning for Artifact Reduction in Echo-Planar Imaging

Catalina Raymond, Jingwen Yao, Bryan Clifford, Thorsten Feiweier, Sonoko Oshima, Donatello Telesca, Xiaodong Zhong, Heiko Meyer, Richard G. Everson, Noriko Salamon, Timothy F. Cloughesy and Benjamin M. Ellingson

American Journal of Neuroradiology April 2025, 46 (4) 733-741; DOI: https://doi.org/10.3174/ajnr.A8566

Catalina Raymond

aFrom the UCLA Brain Tumor Imaging Laboratory (C.R., J.Y., S.O., B.M.E.), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA

bDepartment of Radiological Sciences (C.R., J.Y., S.O., X.Z., N.S., B.M.E), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA

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Jingwen Yao

aFrom the UCLA Brain Tumor Imaging Laboratory (C.R., J.Y., S.O., B.M.E.), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA

bDepartment of Radiological Sciences (C.R., J.Y., S.O., X.Z., N.S., B.M.E), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA

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Bryan Clifford

cSiemens Medical Solutions USA, Inc. (B.C.), Los Angeles, CA

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Thorsten Feiweier

dSiemens Healthineers AG (T.F., H.M.), Erlangen, Germany

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Sonoko Oshima

aFrom the UCLA Brain Tumor Imaging Laboratory (C.R., J.Y., S.O., B.M.E.), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA

bDepartment of Radiological Sciences (C.R., J.Y., S.O., X.Z., N.S., B.M.E), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA

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Donatello Telesca

iDepartment of Biostatistics (D.T.), University of California, Los Angeles, Los Angeles, CA, USA

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Xiaodong Zhong

bDepartment of Radiological Sciences (C.R., J.Y., S.O., X.Z., N.S., B.M.E), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA

hDepartment of Bioengineering (X.Z., B.M.E.), Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, Los Angeles, CA, USA

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Heiko Meyer

dSiemens Healthineers AG (T.F., H.M.), Erlangen, Germany

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Richard G. Everson

eDepartment of Neurosurgery (R.G.E.), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA

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Noriko Salamon

bDepartment of Radiological Sciences (C.R., J.Y., S.O., X.Z., N.S., B.M.E), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA

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Timothy F. Cloughesy

fDepartment of Neurology (T.F.C.), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA

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Benjamin M. Ellingson

aFrom the UCLA Brain Tumor Imaging Laboratory (C.R., J.Y., S.O., B.M.E.), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA

bDepartment of Radiological Sciences (C.R., J.Y., S.O., X.Z., N.S., B.M.E), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA

gDepartment of Psychiatry and Biobehavioral Sciences (B.M.E.), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA

hDepartment of Bioengineering (X.Z., B.M.E.), Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, Los Angeles, CA, USA

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Leveraging Physics-Based Synthetic MR Images and Deep Transfer Learning for Artifact Reduction in Echo-Planar Imaging

American Journal of Neuroradiology Apr 2025, 46 (4) 733-741; DOI: 10.3174/ajnr.A8566

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Deep Learning for Artifact Reduction in EPI

American Journal of Neuroradiology Apr 2025, 46 (4) 733-741; DOI: 10.3174/ajnr.A8566

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