Effectiveness of deep learning-based reconstruction for improvement of image quality and liver tumor detectability in the hepatobiliary phase of gadoxetic acid-enhanced magnetic resonance imaging-Reference-Cited by-同舟云学术

Effectiveness of deep learning-based reconstruction for improvement of image quality and liver tumor detectability in the hepatobiliary phase of gadoxetic acid-enhanced magnetic resonance imaging

Published:2024-05-16 Issue:10 Volume:49 Page:3450-3463
ISSN:2366-0058
Container-title:Abdominal Radiology
language:en
Short-container-title:Abdom Radiol

Author:

Takayama Yukihisa^ORCID,Sato Keisuke,Tanaka Shinji,Murayama Ryo,Jingu Ryotaro,Yoshimitsu Kengo

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00261-024-04374-w.pdf

Reference40 articles.

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4. Motosugi U, Ichikawa T, Onohara K, Sou H, Sano K, Muhi A, et al. Distinguishing hepatic metastasis from hemangioma using gadoxetic acid-enhanced magnetic resonance imaging. Invest Radiol. 2011;46(6):359-65. doi: https://doi.org/10.1097/RLI.0b013e3182104b77.

5. Kim SH, Kim SH, Lee J, Kim MJ, Jeon YH, Park Y, et al. Gadoxetic acid-enhanced MRI versus triple-phase MDCT for the preoperative detection of hepatocellular carcinoma. AJR Am J Roentgenol. 2009;192(6):1675-81. doi: https://doi.org/10.2214/AJR.08.1262.