Motion Artifact Reduction Using a Convolutional Neural Network for Dynamic Contrast Enhanced MR Imaging of the Liver

PURPOSE: To improve the quality of images obtained via dynamic contrast enhanced MRI (DCE-MRI), which contain motion artifacts and blurring using a deep learning approach. MATERIALS AND METHODS: A multi-channel convolutional neural network-based method is proposed for reducing the motion artifacts a...

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Detalles Bibliográficos
Autores principales: Tamada, Daiki, Kromrey, Marie-Luise, Ichikawa, Shintaro, Onishi, Hiroshi, Motosugi, Utaroh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japanese Society for Magnetic Resonance in Medicine 2019
Materias:
Major Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7067907/
https://www.ncbi.nlm.nih.gov/pubmed/31061259
http://dx.doi.org/10.2463/mrms.mp.2018-0156

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7067907/
https://www.ncbi.nlm.nih.gov/pubmed/31061259
http://dx.doi.org/10.2463/mrms.mp.2018-0156

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