Deep learning with domain adaptation for accelerated projection-reconstruction MR

Magn Reson Med. 2018 Sep;80(3):1189-1205. doi: 10.1002/mrm.27106. Epub 2018 Feb 4.

Authors

Yoseob Han¹, Jaejun Yoo¹, Hak Hee Kim², Hee Jung Shin², Kyunghyun Sung³, Jong Chul Ye¹

Affiliations

¹ Department of Bio and Brain Engineering, Korea Advanced Institute of Science & Technology (KAIST), Daejeon, Republic of Korea.
² Department of Radiology, Research Institute of Radiology, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, Republic of Korea.
³ Department of Radiological Sciences, University of California Los Angeles, Los Angeles, California.

PMID: 29399869
DOI: 10.1002/mrm.27106

No abstract available

Keywords: compressed sensing; convolutional neural network; deep learning; domain adaptation; projection reconstruction MRI.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Deep Learning*
Fourier Analysis
Healthy Volunteers
Humans
Image Processing, Computer-Assisted / methods*
Liver / diagnostic imaging
Magnetic Resonance Imaging*
Neural Networks, Computer
Reproducibility of Results
Software
Tomography, X-Ray Computed

Grants and funding