Advancing MRI Technology with Deep Learning Super Resolution Reconstruction

被引:0
|
作者
Luetkens, Julian A. [1 ,2 ]
Kravchenko, Dmitrij [1 ,2 ,3 ]
机构
[1] Univ Hosp Bonn, Dept Diagnost & Intervent Radiol, Bonn, Germany
[2] Quant Imaging Lab Bonn, Bonn, Germany
[3] Med Univ South Carolina, Dept Radiol & Radiol Sci, Div Cardiovasc Imaging, Charleston, SC USA
关键词
D O I
10.1016/j.acra.2024.08.046
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
引用
收藏
页码:4183 / 4184
页数:2
相关论文
共 50 条
  • [21] Super-resolution of brain tumor MRI images based on deep learning
    Zhou, Zhiyi
    Ma, Anbang
    Feng, Qiuting
    Wang, Ran
    Cheng, Lilin
    Chen, Xin
    Yang, Xi
    Liao, Keman
    Miao, Yifeng
    Qiu, Yongming
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2022, 23 (11):
  • [22] Applications of a deep learning method for anti-aliasing and super resolution in MRI
    Zhao, Can
    Shao, Muhan
    Carass, Aaron
    Li, Hao
    Dewey, Blake E.
    Ellingsen, Lotta M.
    Woo, Jonghye
    Guttman, Michael A.
    Blitz, Ari M.
    Stone, Maureen
    Calabresi, Peter A.
    Halperin, Henry
    Prince, Jerry L.
    MAGNETIC RESONANCE IMAGING, 2019, 64 : 132 - 141
  • [23] Utility of deep learning super-resolution in the context of osteoarthritis MRI biomarkers
    Chaudhari, Akshay S.
    Stevens, Kathryn J.
    Wood, Jeff P.
    Chakraborty, Amit K.
    Gibbons, Eric K.
    Fang, Zhongnan
    Desai, Arjun D.
    Lee, Jin Hyung
    Gold, Garry E.
    Hargreaves, Brian A.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 51 (03) : 768 - 779
  • [24] A Review of Single Image Super-Resolution Reconstruction Based on Deep Learning
    Wu J.
    Ye X.-J.
    Huang F.
    Chen L.-Q.
    Wang Z.-F.
    Liu W.-X.
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2022, 50 (09): : 2265 - 2294
  • [25] Super-resolution reconstruction based on compressed sensing and deep learning model
    Sun, Dan
    Zhang, Tianyang
    Chen, Lisha
    PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON COMMUNICATION AND ELECTRONICS SYSTEMS (ICCES), 2016, : 1060 - 1064
  • [26] A Wavelet Based Deep Learning Method for Underwater Image Super Resolution Reconstruction
    Chen, Yuzhang
    Niu, Kangli
    Zeng, Zhangfan
    Pan, Yongcai
    IEEE ACCESS, 2020, 8 : 117759 - 117769
  • [27] Image super-resolution reconstruction based on sparse representation and deep learning
    Zhang, Jing
    Shao, Minhao
    Yu, Lulu
    Li, Yunsong
    SIGNAL PROCESSING-IMAGE COMMUNICATION, 2020, 87
  • [28] Automated phase reconstruction and super-resolution with deep learning in digital holography
    Park, Seonghwan
    Kim, Youhyun
    Moon, Inkyu
    OPTICS AND LASER TECHNOLOGY, 2024, 176
  • [29] Deep Learning for Fast Super-Resolution Reconstruction from Multiple Images
    Kawulok, Michal
    Benecki, Pawel
    Hrynczenko, Krzysztof
    Kostrzewa, Daniel
    Piechaczek, Szymo
    Nalepa, Jakub
    Smolka, Bogdan
    REAL-TIME IMAGE PROCESSING AND DEEP LEARNING 2019, 2019, 10996
  • [30] Super-Resolution Reconstruction of Magnetic Resonance Image Based on Deep Learning
    Pan Mengxue
    Qu Ning
    Xia Yeru
    Yang Deyong
    Wang Hongyu
    Liu Wenlong
    LASER & OPTOELECTRONICS PROGRESS, 2022, 59 (22)