Validation of a Denoising Method Using Deep Learning–Based Reconstruction to Quantify Multiple Sclerosis Lesion Load on Fast FLAIR Imaging

T. Yamamoto; C. Lacheret; H. Fukutomi; R.A. Kamraoui; L. Denat; B. Zhang; V. Prevost; L. Zhang; A. Ruet; B. Triaire; V. Dousset; P. Coupé; T. Tourdias

doi:10.3174/ajnr.A7589

Research ArticleAdult Brain

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Validation of a Denoising Method Using Deep Learning–Based Reconstruction to Quantify Multiple Sclerosis Lesion Load on Fast FLAIR Imaging

T. Yamamoto, C. Lacheret, H. Fukutomi, R.A. Kamraoui, L. Denat, B. Zhang, V. Prevost, L. Zhang, A. Ruet, B. Triaire, V. Dousset, P. Coupé and T. Tourdias

American Journal of Neuroradiology August 2022, 43 (8) 1099-1106; DOI: https://doi.org/10.3174/ajnr.A7589

T. Yamamoto

aFrom the Institut de Bio-imagerie (T.Y., H.F., L.D., V.D., T.T.), University Bordeaux, Bordeaux, France

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C. Lacheret

bNeuroimagerie Diagnostique et Thérapeutique (C.L., V.D., T.T.)

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H. Fukutomi

aFrom the Institut de Bio-imagerie (T.Y., H.F., L.D., V.D., T.T.), University Bordeaux, Bordeaux, France

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R.A. Kamraoui

dLaboratoire Bordelais de Recherche en Informatique (R.A.K., P.C.), University Bordeaux, Le Centre National de la Recherche Scientifique, Bordeaux Institut National Polytechnique, Talence, France

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L. Denat

aFrom the Institut de Bio-imagerie (T.Y., H.F., L.D., V.D., T.T.), University Bordeaux, Bordeaux, France

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B. Zhang

eCanon Medical Systems Europe (B.Z.), Zoetermeer, the Netherlands

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V. Prevost

fCanon Medical Systems (V.P., B.T.), Tochigi, Japan

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L. Zhang

gCanon Medical Systems China (L.Z.), Beijing, China

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A. Ruet

cService de Neurologie (A.R.), Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France

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B. Triaire

fCanon Medical Systems (V.P., B.T.), Tochigi, Japan

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V. Dousset

aFrom the Institut de Bio-imagerie (T.Y., H.F., L.D., V.D., T.T.), University Bordeaux, Bordeaux, France

bNeuroimagerie Diagnostique et Thérapeutique (C.L., V.D., T.T.)

hNeurocentreMagendie (V.D., T.T.), University of Bordeaux, L’Institut National de la Santé et de la Recherche Médicale, Bordeaux, France

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P. Coupé

dLaboratoire Bordelais de Recherche en Informatique (R.A.K., P.C.), University Bordeaux, Le Centre National de la Recherche Scientifique, Bordeaux Institut National Polytechnique, Talence, France

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T. Tourdias

aFrom the Institut de Bio-imagerie (T.Y., H.F., L.D., V.D., T.T.), University Bordeaux, Bordeaux, France

bNeuroimagerie Diagnostique et Thérapeutique (C.L., V.D., T.T.)

hNeurocentreMagendie (V.D., T.T.), University of Bordeaux, L’Institut National de la Santé et de la Recherche Médicale, Bordeaux, France

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Cite this article

T. Yamamoto, C. Lacheret, H. Fukutomi, R.A. Kamraoui, L. Denat, B. Zhang, V. Prevost, L. Zhang, A. Ruet, B. Triaire, V. Dousset, P. Coupé, T. Tourdias

Validation of a Denoising Method Using Deep Learning–Based Reconstruction to Quantify Multiple Sclerosis Lesion Load on Fast FLAIR Imaging

American Journal of Neuroradiology Aug 2022, 43 (8) 1099-1106; DOI: 10.3174/ajnr.A7589

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Deep Learning for MS Lesion Quantification

T. Yamamoto, C. Lacheret, H. Fukutomi, R.A. Kamraoui, L. Denat, B. Zhang, V. Prevost, L. Zhang, A. Ruet, B. Triaire, V. Dousset, P. Coupé, T. Tourdias

American Journal of Neuroradiology Aug 2022, 43 (8) 1099-1106; DOI: 10.3174/ajnr.A7589

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