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Accelerated T2-weighted MRI of the liver at 3 T using a single-shot technique with deep learning-based image reconstruction: impact on the image quality and lesion detection.
Ginocchio, Luke A; Smereka, Paul N; Tong, Angela; Prabhu, Vinay; Nickel, Dominik; Arberet, Simon; Chandarana, Hersh; Shanbhogue, Krishna P.
Affiliation
  • Ginocchio LA; Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, 660 First Avenue, 3rd Floor, New York, NY, 10016, USA. Luke.Ginocchio@nyulangone.org.
  • Smereka PN; Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, 660 First Avenue, 3rd Floor, New York, NY, 10016, USA.
  • Tong A; Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, 660 First Avenue, 3rd Floor, New York, NY, 10016, USA.
  • Prabhu V; Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, 660 First Avenue, 3rd Floor, New York, NY, 10016, USA.
  • Nickel D; MR Applications Predevelopment, Siemens Healthcare GmbH, 91052, Erlangen, Germany.
  • Arberet S; Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ, 08540, USA.
  • Chandarana H; Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, 660 First Avenue, 3rd Floor, New York, NY, 10016, USA.
  • Shanbhogue KP; Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, 660 First Avenue, 3rd Floor, New York, NY, 10016, USA.
Abdom Radiol (NY) ; 48(1): 282-290, 2023 01.
Article in En | MEDLINE | ID: mdl-36171342
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / Liver Neoplasms Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Abdom Radiol (NY) Year: 2023 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / Liver Neoplasms Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Abdom Radiol (NY) Year: 2023 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos