Exploratory Radiomic Analysis of Conventional vs. Quantitative Brain MRI: Toward Automatic Diagnosis of Early Multiple Sclerosis.

Lavrova, Elizaveta; Lommers, Emilie; Woodruff, Henry C; Chatterjee, Avishek; Maquet, Pierre; Salmon, Eric; Lambin, Philippe; Phillips, Christophe

Lavrova, Elizaveta; Lommers, Emilie; Woodruff, Henry C; Chatterjee, Avishek; Maquet, Pierre; Salmon, Eric; Lambin, Philippe; Phillips, Christophe.

Afiliação

Lavrova E; The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, Netherlands.
Lommers E; GIGA Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium.
Woodruff HC; GIGA Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium.
Chatterjee A; Clinical Neuroimmunology Unit, Neurology Department, CHU Liège, Liège, Belgium.
Maquet P; The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, Netherlands.
Salmon E; Department of Radiology and Nuclear Imaging, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands.
Lambin P; The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, Netherlands.
Phillips C; GIGA Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium.

Front Neurosci ; 15: 679941, 2021.

Article em En | MEDLINE | ID: mdl-34421515

Palavras-chave

brain MRI; histological MRI; multiple sclerosis; quantitative MRI; radiomic feature

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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