Fast Microwave Medical Imaging Based on Iterative Smoothed Adaptive Thresholding

被引：14
|
作者：
Azghani, Masoumeh [1 ]
Kosmas, Panagiotis [2 ]
Marvasti, Farokh [1 ]
机构：
[1] Sharif Univ Technol, Dept Elect Engn, ACRI, Tehran, Iran
[2] Kings Coll London, Sch Nat & Math Sci, London WC2R 2LS, England
来源：
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS | 2015年 / 14卷
关键词：
Adaptive thresholding; breast imaging; compressed sensing; inverse scattering; microwave tomography; REALISTIC NUMERICAL BREAST; INVERSION; PHANTOMS;
D O I：
10.1109/LAWP.2014.2366919
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This letter presents a fast microwave imaging technique based on the concept of smoothed minimization and adaptive thresholding. The distorted Born iterative method (DBIM) is used to solve the electromagnetic (EM) inverse scattering problem. We propose to solve the set of underdetermined equations at each iteration of the DBIM algorithm using an regularized iterative smoothed adaptive thresholding (-ISATCS) technique. Our simulation results confirm that this technique can reduce considerably the required reconstruction times for the DBIM method relative to previously suggested compressed sensing (CS)-based approaches.
引用
收藏
页码：438 / 441
页数：4
相关论文
共 50 条
  • [1] Microwave Medical Imaging Based on Sparsity and an Iterative Method With Adaptive Thresholding
    Azghani, Masoumeh
    Kosmas, Panagiotis
    Marvasti, Farokh
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2015, 34 (02) : 357 - 365
  • [2] Non-linear Microwave Imaging Using Fast Iterative Shrinkage Thresholding
    Lu, Pan
    Corcoles, Juan
    Kosmas, Panagiotis
    [J]. 2019 PHOTONICS & ELECTROMAGNETICS RESEARCH SYMPOSIUM - SPRING (PIERS-SPRING), 2019, : 1949 - 1956
  • [3] Microwave Imaging Based on Compressed Sensing Using Adaptive Thresholding
    Azghani, Masoumeh
    Kosmas, Panagiotis
    Marvasti, Farokh
    [J]. 2014 8TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), 2014, : 699 - 701
  • [4] Step adaptive fast iterative shrinkage thresholding algorithm for compressively sampled MR imaging reconstruction
    Wang, Wei
    Cao, Ning
    [J]. MAGNETIC RESONANCE IMAGING, 2018, 53 : 89 - 97
  • [5] Microwave Imaging of Nonsparse Object Using Dual-Mesh Method and Iterative Method With Adaptive Thresholding
    Zhou, Huiyuan
    Narayanan, Ram M.
    [J]. IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2019, 67 (01) : 504 - 512
  • [6] Fast Frequency-Diverse Radar Imaging Based on Adaptive Sampling Iterative Soft-Thresholding Deep Unfolding Network
    Wu, Zhenhua
    Zhao, Fafa
    Zhang, Lei
    Cao, Yice
    Qian, Jun
    Xu, Jiafei
    Yang, Lixia
    [J]. REMOTE SENSING, 2023, 15 (13)
  • [7] Microwave Imaging Based on a Subspace-based Two-step Iterative Shrinkage/Thresholding Method
    Wu, Ji
    Yang, Fan
    Zheng, Jinchuan
    Nguyen, Hung T.
    Chai, Rifai
    [J]. 2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC, 2023,
  • [8] Microwave Breast Imaging Based on an Optimized Two-step Iterative Shrinkage/Thresholding Method
    Miao, Zhenzhuang
    Kosmas, Panagiotis
    [J]. 2015 9TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), 2015,
  • [9] SIMO Array Imaging Based on Compressed Sensing and Fast Iterative Shrinkage-Thresholding Algorithm
    Liao, Yi
    Liu, Shuang
    Xie, Haomiao
    Sun, Houjun
    [J]. 9TH INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY (ICMMT 2016) PROCEEDINGS, VOL 2, 2016, : 895 - 897
  • [10] Robust Acoustic Imaging Based on Bregman Iteration and Fast Iterative Shrinkage-Thresholding Algorithm
    Huang, Linsen
    Song, Shaoyu
    Xu, Zhongming
    Zhang, Zhifei
    He, Yansong
    [J]. SENSORS, 2020, 20 (24) : 1 - 17
12345