Scan-specific artifact reduction in k-space (SPARK) neural networks synergize with physics-based reconstruction to accelerate MRI.

Arefeen, Yamin; Beker, Onur; Cho, Jaejin; Yu, Heng; Adalsteinsson, Elfar; Bilgic, Berkin

Arefeen, Yamin; Beker, Onur; Cho, Jaejin; Yu, Heng; Adalsteinsson, Elfar; Bilgic, Berkin.

Afiliação

Arefeen Y; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Beker O; Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Cho J; Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.
Yu H; Department of Automation, Tsinghua University, Beijing, China.
Adalsteinsson E; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Bilgic B; Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Magn Reson Med ; 87(2): 764-780, 2022 02.

Article em En | MEDLINE | ID: mdl-34601751

Assuntos

Artefatos; Processamento de Imagem Assistida por Computador; Algoritmos; Imageamento por Ressonância Magnética; Redes Neurais de Computação; Física

Palavras-chave

accelerated imaging; convolutional neural networks; image reconstruction; machine learning; parallel imaging

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Artefatos Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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