A Perspective on Deep Imaging

被引:307
作者
Wang, Ge [1 ]
机构
[1] Rensselaer Polytech Inst, Ctr Biotechnol & Interdisciplinary Studies, Biomed Imaging Ctr, Dept Biomed Engn, Troy, NY 12180 USA
来源
IEEE ACCESS | 2016年 / 4卷
关键词
Tomographic imaging; medical imaging; data acquisition; image reconstruction; image analysis; big data; machine learning; deep learning; RECONSTRUCTION; CT; ALGORITHM;
D O I
10.1109/ACCESS.2016.2624938
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The combination of tomographic imaging and deep learning, or machine learning in general, promises to empower not only image analysis but also image reconstruction. The latter aspect is considered in this perspective article with an emphasis on medical imaging to develop a new generation of image reconstruction theories and techniques. This direction might lead to intelligent utilization of domain knowledge from big data, innovative approaches for image reconstruction, and superior performance in clinical and preclinical applications. To realize the full impact of machine learning for tomographic imaging, major theoretical, technical and translational efforts are immediately needed.
引用
收藏
页码:8914 / 8924
页数:11
相关论文
共 46 条
  • [41] Tensor-based dictionary learning for dynamic tomographic reconstruction
    Tan, Shengqi
    Zhang, Yanbo
    Wang, Ge
    Mou, Xuanqin
    Cao, Guohua
    Wu, Zhifang
    Yu, Hengyong
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2015, 60 (07) : 2803 - 2818
  • [42] Vision 20/20: Simultaneous CT-MRI - Next chapter of multimodality imaging
    Wang, Ge
    Kalra, Mannudeep
    Murugan, Venkatesh
    Xi, Yan
    Gjesteby, Lars
    Getzin, Matthew
    Yang, Qingsong
    Cong, Wenxiang
    Vannier, Michael
    [J]. MEDICAL PHYSICS, 2015, 42 (10) : 5879 - 5889
  • [43] ACCELERATING MAGNETIC RESONANCE IMAGING VIA DEEP LEARNING
    Wang, Shanshan
    Su, Zhenghang
    Ying, Leslie
    Peng, Xi
    Zhu, Shun
    Liang, Feng
    Feng, Dagan
    Liang, Dong
    [J]. 2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2016, : 514 - 517
  • [44] Low-Dose X-ray CT Reconstruction via Dictionary Learning
    Xu, Qiong
    Yu, Hengyong
    Mou, Xuanqin
    Zhang, Lei
    Hsieh, Jiang
    Wang, Ge
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2012, 31 (09) : 1682 - 1697
  • [45] A boundary-representation method for designing whole-body radiation dosimetry models: pregnant females at the ends of three gestational periods - RPI-P3, -P6 and -P9
    Xu, X. George
    Taranenko, Valery
    Zhang, Juying
    Shi, Chengyu
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2007, 52 (23) : 7023 - 7044
  • [46] Zhang H., 2016, IMAGE PREDICTION LTD