Motion correction and noise removing in lung diffusion-weighted MRI using low-rank decomposition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11517-020-02224-7.pdf
Reference32 articles.
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4. Li B, Li Q, Chen C, Guan Y, Liu S (2014) A systematic review and meta-analysis of the accuracy of diffusion-weighted MRI in the detection of malignant pulmonary nodules and masses. Acad Radiol 21:21–29. https://doi.org/10.1016/j.acra.2013.09.019
5. Mori T, Nomori H, Ikeda K, Kawanaka K, Shiraishi S, Katahira K, Yamashita Y (2008) Diffusion-weighted magnetic resonance imaging for diagnosing malignant pulmonary nodules/masses: comparison with positron emission tomography. Journal of Thoracic Oncology 3:358–364. https://doi.org/10.1097/JTO.0b013e318168d9ed
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