Estimation of the capillary level input function for dynamic contrast-enhanced MRI of the breast using a deep learning approach.

Abstract

Authors

• Jonghyun Bae
  Vilcek Institute of Graduate Biomedical Science, New York University School of Medicine, New York, New York, USA.
• Zhengnan Huang
  Department of Radiology, New York University Grossman School of Medicine, 660 First Ave, 3rd Fl, New York, NY 10016.
• Florian Knoll
  Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, New York, USA.
• Krzysztof Geras
  Department of Radiology, NYU Langone Health / NYU Grossman School of Medicine, New York, New York.
• Terlika Pandit Sood
  Center for Biomedical Imaging, Radiology, New York University School of Medicine, New York, New York, USA.
• Li Feng
  Department of Radiation Oncology, China-Japan Union Hospital of Jilin University, Changchun, China.
• Laura Heacock
  Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, USA.
• Linda Moy
  1 Department of Radiology, New York University School of Medicine, 160 E 34th St, New York, NY 10016.
• Sungheon Gene Kim
  Department of Radiology, Weill Cornell Medical College, New York, NY. Electronic address: sgk4001@med.cornell.edu.

Keywords

External Resources