Microwave and Induced Thermoacoustic Dual Imaging for Potential Breast Cancer Detection

被引:0
作者
Wang, Bingwen [1 ]
Guo, Ziwen [2 ]
Zhao, Zhiqin [1 ]
Chen, Yifan [1 ,3 ]
Kosmas, Panagiotis [2 ]
机构
[1] Univ Elect Sci Technol China, Sch Elect Sci & Engn, Chengdu, Peoples R China
[2] Kings Coll London, Dept Informat, London WC2R 2LS, England
[3] Univ Waikato, Hamilton, New Zealand
来源
PROCEEDINGS OF THE 2018 IEEE 7TH ASIA-PACIFIC CONFERENCE ON ANTENNAS AND PROPAGATION (APCAP) | 2018年
基金
中国国家自然科学基金; 英国工程与自然科学研究理事会;
关键词
DIELECTRIC-PROPERTIES; TOMOGRAPHY; MODELS;
D O I
暂无
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
Microwave imaging (MWI) and microwave thermoacoustic imaging (MTAI) show great potential for early stage breast tumor detection. MWI suffers from low spatial resolution for accurate diagnosis, while MTAI is unable to provide quantitative dielectric information and its image quality degrades due to acoustic heterogeneity of breast tissue. To compensate for these drawbacks, we propose a microwave-based dual imaging modality, by combining the conventional MWI and MTAI, for breast tumor detection. First, a low-resolution MWI image will he utilized to provide a rough estimate of the high-dielectric region in breast. Then, the high-dielectric region will be incorporated in MTAI reconstruction to mitigate the acoustic heterogeneity effect.. Finally, medical images with ultrasonic resolution and quantitative dielectric information of breast tissue can be obtained. We verified this idea by imaging anatomically realistic numerical breast phantoms. Simulation results demonstrate the feasibility of the proposed dual imaging modality by significantly improving the image fidelity and providing quantitative dielectric information.
引用
收藏
页码:175 / 178
页数:4
相关论文
共 12 条
[1]  
Bishop Christopher M, 2016, Pattern recognition and machine learning
[2]   k-space propagation models for acoustically heterogeneous media: Application to biomedical photoacoustics [J].
Cox, B. T. ;
Kara, S. ;
Arridge, S. R. ;
Beard, P. C. .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2007, 121 (06) :3453-3464
[3]  
Dai DK, 2014, INT CONF SIGN PROCES, P148, DOI 10.1109/ICOSP.2014.7014987
[4]   Microwave-excited ultrasound and thermoacoustic dual imaging [J].
Ding, Wenzheng ;
Ji, Zhong ;
Da Xing .
APPLIED PHYSICS LETTERS, 2017, 110 (18)
[5]   The dielectric properties of biological tissues .3. Parametric models for the dielectric spectrum of tissues [J].
Gabriel, S ;
Lau, RW ;
Gabriel, C .
PHYSICS IN MEDICINE AND BIOLOGY, 1996, 41 (11) :2271-2293
[6]   Large and temperature-independent piezoelectric response in Pb(Mg1/3Nb2/3)O3-BaTiO3-PbTiO3 [J].
Huang, Lizhu ;
Li, Guorong ;
Fu, Desheng ;
Zeng, Jiangtao ;
Ruan, Wei ;
Zheng, Liaoying ;
Zeng, Huarong .
APPLIED PHYSICS LETTERS, 2012, 101 (19)
[7]   Thermoacoustic tomography with correction for acoustic speed variations [J].
Jin, Xing ;
Wang, Lihong V. .
PHYSICS IN MEDICINE AND BIOLOGY, 2006, 51 (24) :6437-6448
[8]   Multiple-Frequency DBIM-TwIST Algorithm for Microwave Breast Imaging [J].
Miao, Zhenzhuang ;
Kosmas, Panagiotis .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2017, 65 (05) :2507-2516
[9]   Exogenous contrast agents for thermoacoustic imaging: An investigation into the underlying sources of contrast [J].
Ogunlade, Olumide ;
Beard, Paul .
MEDICAL PHYSICS, 2015, 42 (01) :170-181
[10]   Mitigating acoustic heterogeneous effects in microwave-induced breast thermoacoustic tomography using multi-physical K-means clustering [J].
Wang, Bingwen ;
Zhao, Zhiqin ;
Liu, Shuangli ;
Nie, Zaiping ;
Liu, Qinghuo .
APPLIED PHYSICS LETTERS, 2017, 111 (22)