Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation

A. Hagiwara; Y. Otsuka; M. Hori; Y. Tachibana; K. Yokoyama; S. Fujita; C. Andica; K. Kamagata; R. Irie; S. Koshino; T. Maekawa; L. Chougar; A. Wada; M.Y. Takemura; N. Hattori; S. Aoki

doi:10.3174/ajnr.A5927

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Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation

A. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori and S. Aoki

American Journal of Neuroradiology January 2019, DOI: https://doi.org/10.3174/ajnr.A5927

A. Hagiwara

aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)cDepartment of Radiology (A.H., R.I., S.K., T.M.), Graduate School of Medicine, University of Tokyo, Tokyo, Japan

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Y. Otsuka

aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)dMilliman Inc (Y.O.). Tokyo, Japan

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M. Hori

aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)

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Y. Tachibana

aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)eApplied MRI Research (Y.T.), Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, Chiba, Japan

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K. Yokoyama

bNeurology (K.Y., N.H.), Juntendo University School of Medicine, Tokyo, Japan

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S. Fujita

aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)

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C. Andica

aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)

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K. Kamagata

aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)

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R. Irie

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S. Koshino

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T. Maekawa

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L. Chougar

aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)fDepartment of Radiology (L.C.), Hopital Saint-Joseph, Paris, France; and Department of Radiological Sciences.

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A. Wada

aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)

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M.Y. Takemura

aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)

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N. Hattori

bNeurology (K.Y., N.H.), Juntendo University School of Medicine, Tokyo, Japan

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S. Aoki

aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)

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Article Information

DOI

https://doi.org/10.3174/ajnr.A5927

PubMed

30630834

Published By

American Journal of Neuroradiology

Print ISSN

0195-6108

Online ISSN

1936-959X

History

Received September 6, 2018
Accepted after revision November 15, 2018
Published online January 10, 2019.

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You are currently viewing a Latest version of this article (January 10, 2019 - 07:12).
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Author Information

A. Hagiwaraa,c,
Y. Otsukaa,d,
M. Horia,
Y. Tachibanaa,e,
K. Yokoyamab,
S. Fujitaa,
C. Andicaa,
K. Kamagataa,
R. Iriea,c,
S. Koshinoa,c,
T. Maekawaa,c,
L. Chougara,f,
A. Wadaa,
M.Y. Takemuraa,
N. Hattorib and
S. Aokia

^aFrom the Departments of Radiology (A.H., Y.O., M.H., Y.T., S.F., C.A., K.K., R.I., S.K., T.M., L.C., A.W., M.Y.T., S.A.)
^bNeurology (K.Y., N.H.), Juntendo University School of Medicine, Tokyo, Japan
^cDepartment of Radiology (A.H., R.I., S.K., T.M.), Graduate School of Medicine, University of Tokyo, Tokyo, Japan
^dMilliman Inc (Y.O.). Tokyo, Japan
^eApplied MRI Research (Y.T.), Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, Chiba, Japan
^fDepartment of Radiology (L.C.), Hopital Saint-Joseph, Paris, France; and Department of Radiological Sciences.

Please address correspondence to Akifumi Hagiwara, MD, Department of Radiology, Juntendo University School of Medicine, 1-2-1, Hongo, Bunkyo-ku, Tokyo, Japan, 113-8421; e-mail: a-hagiwara{at}juntendo.ac.jp

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Funding

AMED
ImPACT
Japan Society for the Promotion of Science
16K10327; 16K19852; JP16H06280

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Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation

A. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori, S. Aoki

American Journal of Neuroradiology Jan 2019, DOI: 10.3174/ajnr.A5927

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Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation

A. Hagiwara, Y. Otsuka, M. Hori, Y. Tachibana, K. Yokoyama, S. Fujita, C. Andica, K. Kamagata, R. Irie, S. Koshino, T. Maekawa, L. Chougar, A. Wada, M.Y. Takemura, N. Hattori, S. Aoki

American Journal of Neuroradiology Jan 2019, DOI: 10.3174/ajnr.A5927

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