Deep learning reconstruction CT for liver metastases: low-dose dual-energy vs standard-dose single-energy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-023-10033-3.pdf
Reference33 articles.
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2. Hsieh J, Liu E, Nett B, Tang J, Thibault J-B, Sahney S (2019) A new era of image reconstruction: TrueFidelity™. White Paper (JB68676XX), GE Healthcare
3. Koetzier LR, Mastrodicasa D, Szczykutowicz TP et al (2023) Deep learning image reconstruction for CT: technical principles and clinical prospects. Radiology 306:e221257. https://doi.org/10.1148/radiol.221257
4. Wong KK, Cummock JS, He Y, Ghosh R, Volpi JJ, Wong S (2021) Retrospective study of deep learning to reduce noise in non-contrast head CT images. Comput Med Imaging Graph 94:101996. https://doi.org/10.1016/j.compmedimag.2021.101996
5. Jiang B, Li N, Shi X et al (2022) Deep learning reconstruction shows better lung nodule detection for ultra-low-dose chest CT. Radiology 303:202–212. https://doi.org/10.1148/radiol.210551
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