Multifrequency microwave-induced thermal acoustic imaging for breast cancer detection

被引:53
|
作者
Guo, Bin
Li, Jian
Zrnuda, Henry
Sheplak, Mark
机构
[1] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
[2] Univ Florida, Dept Mech & Aerosp Engn, Gainesville, FL 32611 USA
[3] Natl Univ Singapore, Temasek Labs, Singapore 117548, Singapore
关键词
breast cancer detection; finite-difference time-domain (FDTD) methods; multifrequency adaptive and robust technology (MART); robust capon beamforming (RCB); thermal acoustic imaging (TAI);
D O I
10.1109/TBME.2007.895108
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Microwave-induced thermal acoustic imaging (TAI) is a promising early breast cancer detection technique, which combines the advantages of microwave stimulation and ultrasound imaging and offers a high imaging contrast, as well as high spatial resolution at the same time. A new multifrequency microwave-induced thermal acoustic imaging scheme for early breast cancer detection is proposed in this paper. Significantly more information about the human breast can be gathered using multiple frequency microwave stimulation. A multifrequency adaptive and robust technique (MART) is presented for image formation. Due to its data-adaptive nature, MART can achieve better resolution and better interference rejection capability than its data -independent counterparts, such as the delay-and-sum method. The effectiveness of this procedure is shown by several numerical examples based on 2-D breast models. The finite-difference time-domain method is used to simulate the electromagnetic field distribution, the absorbed microwave energy density, and the thermal acoustic field in the breast model.
引用
收藏
页码:2000 / 2010
页数:11
相关论文
共 50 条
  • [41] Recent Advances in Microwave Imaging for Breast Cancer Detection
    Kwon, Sollip
    Lee, Seungjun
    INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING, 2016, 2016
  • [42] A Review On Microwave Imaging Systems for Breast Cancer Detection
    Aragao, Alexandre de Jesus
    Carvalho, Dionisio
    Sanches, Bruno
    van Noije, Wilhelmus A. M.
    IEEE ACCESS, 2024, 12 : 190611 - 190628
  • [43] Microwave Imaging System for Early Detection of Breast Cancer
    Eltigani, Faihaa Mohammed
    Yahya, Maged Ali Ali
    Osman, Mazin Elfadil
    2017 INTERNATIONAL CONFERENCE ON COMMUNICATION, CONTROL, COMPUTING AND ELECTRONICS ENGINEERING (ICCCCEE), 2017,
  • [44] Microwave imaging for breast cancer detection: Preliminary experience
    Meaney, PM
    Paulsen, KD
    Fanning, MW
    MEDICAL IMAGING 2000: PHYSICS OF MEDICAL IMAGING, 2000, 3977 : 308 - 319
  • [45] Role of Microwave Imaging for Early Detection of Breast Cancer
    Agrawal, Navneet
    Venugopalan, K.
    WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING, VOL 25, PT 2 - DIAGNOSTIC IMAGING, 2009, 25 : 290 - 292
  • [46] Microwave Imaging and Sensing Techniques for Breast Cancer Detection
    Wang, Lulu
    MICROMACHINES, 2023, 14 (07)
  • [47] A confocal microwave imaging algorithm for breast cancer detection
    Li, X
    Hagness, SC
    IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2001, 11 (03) : 130 - 132
  • [48] Study on the breast cancer detection by UWB microwave imaging
    Xiao, Xia
    Kikkawa, Takamaro
    2008 INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY PROCEEDINGS, VOLS 1-4, 2008, : 1707 - 1710
  • [49] Microwave Imaging for Breast Cancer Detection: The Discrimination of Breast Lesion Morphology
    Zhang, Haoyu
    IEEE ACCESS, 2020, 8 : 107103 - 107111
  • [50] Microwave-induced thermoacoustic elastic imaging: A simulation study
    Huang, Lin
    Liang, Zheng
    Qiao, Shuaiqi
    Wang, Weipeng
    JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2024, 17 (02)