Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers

PURPOSE: To test whether our proposed denoising approach with deep learning-based reconstruction (dDLR) can effectively denoise brain MR images. METHODS: In an initial experimental study, we obtained brain images from five volunteers and added different artificial noise levels. Denoising was applied...

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Detalles Bibliográficos
Autores principales: Kidoh, Masafumi, Shinoda, Kensuke, Kitajima, Mika, Isogawa, Kenzo, Nambu, Masahito, Uetani, Hiroyuki, Morita, Kosuke, Nakaura, Takeshi, Tateishi, Machiko, Yamashita, Yuichi, Yamashita, Yasuyuki
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/PMC7553817/
https://www.ncbi.nlm.nih.gov/pubmed/31484849
http://dx.doi.org/10.2463/mrms.mp.2019-0018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553817/
https://www.ncbi.nlm.nih.gov/pubmed/31484849
http://dx.doi.org/10.2463/mrms.mp.2019-0018

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