Fast super-resolution ultrasound microvessel imaging using spatiotemporal data with deep fully convolutional neural network

被引：0
|
作者：
Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester [1 ]
MN, United States
不详 [2 ]
610041, China
不详 [3 ]
不详 [4 ]
MN, United States
机构：
来源：
Phys. Med. Biol. | 1600年 / 7卷
关键词：
461.4 Ergonomics and Human Factors Engineering - 716.1 Information Theory and Signal Processing - 723.2 Data Processing and Image Processing - 753.1 Ultrasonic Waves - 903.3 Information Retrieval and Use;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
30
引用
收藏
相关论文
共 50 条
  • [1] Fast super-resolution ultrasound microvessel imaging using spatiotemporal data with deep fully convolutional neural network
    Lok, U-Wai
    Huang, Chengwu
    Gong, Ping
    Tang, Shanshan
    Yang, Lulu
    Zhang, Wei
    Kim, Yohan
    Korfiatis, Panagiotis
    Blezek, Daniel J.
    Lucien, Fabrice
    Zheng, Rongqin
    Trzasko, Joshua D.
    Chen, Shigao
    PHYSICS IN MEDICINE AND BIOLOGY, 2021, 66 (07):
  • [2] Deep learning for fast super-resolution ultrasound microvessel imaging
    Luan, Shunyao
    Yu, Xiangyang
    Lei, Shuang
    Ma, Chi
    Wang, Xiao
    Xue, Xudong
    Ding, Yi
    Ma, Teng
    Zhu, Benpeng
    PHYSICS IN MEDICINE AND BIOLOGY, 2023, 68 (24):
  • [3] Deep Learning of Spatiotemporal Filtering for Fast Super-Resolution Ultrasound Imaging
    Brown, Katherine G.
    Ghosh, Debabrata
    Hoyt, Kenneth
    IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 2020, 67 (09) : 1820 - 1829
  • [4] Deep 3D convolutional neural networks for fast super-resolution ultrasound imaging
    Brown, Katherine
    Dormer, James
    Fei, Baowei
    Hoyt, Kenneth
    MEDICAL IMAGING 2019: ULTRASONIC IMAGING AND TOMOGRAPHY, 2019, 10955
  • [5] Deep Depth Super-Resolution: Learning Depth Super-Resolution Using Deep Convolutional Neural Network
    Song, Xibin
    Dai, Yuchao
    Qin, Xueying
    COMPUTER VISION - ACCV 2016, PT IV, 2017, 10114 : 360 - 376
  • [6] Image Super-Resolution With Deep Convolutional Neural Network
    Ji, Xiancai
    Lu, Yao
    Guo, Li
    2016 IEEE FIRST INTERNATIONAL CONFERENCE ON DATA SCIENCE IN CYBERSPACE (DSC 2016), 2016, : 626 - 630
  • [7] Computed tomography super-resolution using deep convolutional neural network
    Park, Junyoung
    Hwang, Donghwi
    Kim, Kyeong Yun
    Kang, Seung Kwan
    Kim, Yu Kyeong
    Lee, Jae Sung
    PHYSICS IN MEDICINE AND BIOLOGY, 2018, 63 (14):
  • [8] Super-Resolution PET Using A Very Deep Convolutional Neural Network
    Song, Tzu-An
    Chowdhury, Samadrita Roy
    Kim, Kyungsang
    Gong, Kuang
    El Fakhri, Georges
    Li, Quanzheng
    Dutta, Joyita
    2018 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE PROCEEDINGS (NSS/MIC), 2018,
  • [9] Hyperspectral image super-resolution using deep convolutional neural network
    Li, Yunsong
    Hu, Jing
    Zhao, Xi
    Xie, Weiying
    Li, JiaoJiao
    NEUROCOMPUTING, 2017, 266 : 29 - 41
  • [10] Deep learning in spatiotemporal filtering for super-resolution ultrasound imaging
    Brown, Katherine
    Hoyt, Kenneth
    2019 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2019, : 1114 - 1117
12345