Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers-Reference-Cited by-同舟云学术

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

Published:2020 Issue:3 Volume:19 Page:195-206
ISSN:1347-3182
Container-title:Magnetic Resonance in Medical Sciences
language:en
Short-container-title:magn reson med sci

Author:

Kidoh Masafumi¹,Shinoda Kensuke²,Kitajima Mika¹,Isogawa Kenzo³,Nambu Masahito²,Uetani Hiroyuki¹,Morita Kosuke⁴,Nakaura Takeshi¹,Tateishi Machiko¹,Yamashita Yuichi²,Yamashita Yasuyuki¹

Affiliation:

1. Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University

2. MRI Systems Division, Canon Medical Systems Corporation

3. Corporate Research and Development Center, Toshiba Corporation

4. Department of Radiology, Kumamoto University Hospital, Kumamoto

Publisher

Japanese Society for Magnetic Resonance in Medicine

Subject

Radiology Nuclear Medicine and imaging

Link

https://www.jstage.jst.go.jp/article/mrms/19/3/19_mp.2019-0018/_pdf

Reference31 articles.

1. 1. Malmgren K, Thom M. Hippocampal sclerosis—origins and imaging. Epilepsia 2012; 53:19–33.

2. 2. Jonkman LE, Klaver R, Fleysher L, Inglese M, Geurts JJ. Ultra-high-field MRI visualization of cortical multiple sclerosis lesions with T₂ and T₂*: a postmortem MRI and histopathology study. AJNR Am J Neuroradiol 2015; 36:2062–2067.

3. 3. Thom M. Review: Hippocampal sclerosis in epilepsy: a neuropathology review. Neuropathol Appl Neurobiol 2014; 40:520–543.

4. 4. McDonnell MJ. Box-filtering techniques. Comput Graph Image Process 1981; 17:65–70.

5. 5. Buades A, Coll B, Morel JM. A review of image denoising algorithms, with a new one. Multiscale Model Simul 2005; 4:490–530.

Cited by 163 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficacy of compressed sensing and deep learning reconstruction for adult female pelvic MRI at 1.5 T;European Radiology Experimental;2024-09-10

2. Super-resolution deep learning reconstruction approach for enhanced visualization in lumbar spine MR bone imaging;European Journal of Radiology;2024-09

3. PhoenixMR: A GPU‐based MRI simulation framework with runtime‐dynamic code execution;Medical Physics;2024-07-30

4. Transformative Noise Reduction: Leveraging a Transformer-Based Deep Network for Medical Image Denoising;Mathematics;2024-07-24

5. Fast reconstruction of SMS bSSFP myocardial perfusion images using noise map estimation network (NoiseMapNet): a head-to-head comparison with parallel imaging and iterative reconstruction;Frontiers in Cardiovascular Medicine;2024-07-11