Deep learning-based Lorentzian fitting of water saturation shift referencing spectra in MRI.

Mohammed Ali, Sajad; Yadav, Nirbhay N; Wirestam, Ronnie; Singh, Munendra; Heo, Hye-Young; van Zijl, Peter C; Knutsson, Linda

Mohammed Ali, Sajad; Yadav, Nirbhay N; Wirestam, Ronnie; Singh, Munendra; Heo, Hye-Young; van Zijl, Peter C; Knutsson, Linda.

Afiliação

Mohammed Ali S; Department of Medical Radiation Physics, Lund University, Lund, Sweden.
Yadav NN; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Wirestam R; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.
Singh M; Department of Medical Radiation Physics, Lund University, Lund, Sweden.
Heo HY; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
van Zijl PC; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.
Knutsson L; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Magn Reson Med ; 90(4): 1610-1624, 2023 10.

Article em En | MEDLINE | ID: mdl-37279008

Assuntos

Aprendizado Profundo; Água; Algoritmos; Interpretação de Imagem Assistida por Computador/métodos; Imageamento por Ressonância Magnética/métodos

Palavras-chave

Lorentzian fitting; WASSR; Z-spectra; deep learning; least squares

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água / Aprendizado Profundo Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suécia

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