Hossain, MD & Mohan, AS 2017, 'Cancer Detection in Highly Dense Breasts Using Coherently Focused Time-Reversal Microwave Imaging', IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, vol. 3, no. 4, pp. 928-939.View/Download from: Publisher's site
Hossain, MD & Mohan, AS 2017, 'Eigenspace Time-Reversal Robust Capon Beamforming for Target Localization in Continuous Random Media', IEEE Antennas and Wireless Propagation Letters, vol. 16, pp. 1605-1608.View/Download from: Publisher's site
© 2017 IEEE. We propose a novel eigenspace time-reversal robust Capon beamformer (E-TR-RCB) for improved target localization in continuous random media. We also derive the Beamspace-TR-RCB (B-TR-RCB) algorithm and compare their localization performances by varying the medium characteristic and excitation bandwidth. Finite-difference time-domain (FDTD) method is used to numerically obtain the multistatic scattered field data from the continuous random dielectric medium. The results indicate that the E-TR-RCB has superior performance over the B-TR-RCB and outperforms the conventional (elementspace) TR-RCB and decomposition of the time-reversal operator (DORT) imaging techniques.
Hossain, MD & Mohan, AS 2015, 'Coherent time-reversal microwave imaging for the detection and localization of breast tissue malignancies', RADIO SCIENCE, vol. 50, no. 2, pp. 87-98.View/Download from: Publisher's site
Hossain, MD, Sanagavarapu, AM & Abedin, MJ 2013, 'Beamspace Time-Reversal Microwave Imaging for Breast Cancer Detection', Antennas and Wireless Propagation Letters, vol. 12, pp. 241-244.View/Download from: Publisher's site
We propose novel beamspace-DORT and beamspace- TR-MUSIC for microwave imaging to detect breast cancer. The proposed imaging methods employ beamspace transformation in the receiving mode of time reversal process prior to back propagation of recorded received signals. We investigate the effectiveness of the proposed imaging methods using anatomically realistic MRI-derived dense numerical breast phantoms. It is found that the proposed methods, especially the beamspace-TR-MUSIC, achieve improved focusing ability even in the presence of dense fibroglandular tissue clutter.
Boddupalli, A, Hossain, MD, Gozasht, F, Ling, SSH & Sanagavarapu, AM 2016, 'Techniques for RF Localization of Wireless Capsule Endoscopy', Proceedings of the 2016 18th International Conference on Electromagnetics in Advanced Applications, ICEAA 2016, International Conference on Electromagnetics in Advanced Applications, IEEE, Cairns, pp. 856-859.View/Download from: Publisher's site
Hossain, MD & Sanagavarapu, AM 2015, 'A Comparative Study of Coherent Time Reversal Minimum Variance Beamformers for Breast Cancer Detection', Proceedings of the 2015 9th European Conference on Antennas and Propagation (EuCAP), European Conference on Antennas and Propagation, IEEE, Lisbon, pp. 1-5.
In this study we consider coherent processing for time reversal microwave imaging for breast cancer detection. We derive coherent time reversal standard Capon beamformer (C-TR-SCB) and coherent time reversal robust Capon beamformer (C-TR-RCB) and compare their imaging performances for breast cancer detection in anatomically realistic heterogeneous 3-D breast phantoms.
Hossain, MD & Sanagavarapu, AM 2015, 'Improved DORT for breast cancer detection in low contrast scenarios', 2015 International Symposium on Antennas and Propagation (ISAP 2015), IEEE International Symposium on Antennas and Propagation, IEEE, Hobart, Tasmania, Australia.
Microwave imaging performance deteriorates with increasing clutter and heterogeneity in the imaging medium. Breast cancer detection becomes increasingly challenging with increasing breast density. Decomposition of the time reversal operator (DORT) uses signal subspace of the multistatic matrix which is perturbed in highly heterogeneous medium. To overcome the problem we propose coherent processing in frequency domain prior to imaging operation. Coherent DORT (C-DORT) provides robust imaging performance compared to conventional non-coherent DORT in cluttered medium as evident from the imaging results obtain using anatomically realistic numerical breast phantoms.
Hossain, MD & Mohan, AS 2014, 'Beamspace Time Reversal Maximum Likelihood Estimation for Microwave Breast Imaging', 2014 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM (APSURSI), IEEE Antennas-and-Propagation-Society International Symposium (APSURSI), IEEE, Memphis, TN, pp. 1921-1922.
Gozasht, F, Hossain, MD & Sanagavarapu, AM 2013, 'Miniaturized E-Shaped PIFA Antenna for Wideband Implantable Biomedical Applications', International Conference on Electromagnetics in Advanced Applications (ICEAA) 2013, IEEE, Torino, Italy, pp. 832-835.
Hossain, MD & Sanagavarapu, AM 2013, 'Beamspace Time Reversal Processing for Localization of Breast Cancer in 3-D Phantoms', 2013 IEEE Antennas and Propagation Society International Symposium (APSURSI), IEEE, Orlando, USA, pp. 2034-2035.
Hossain, MD & Sanagavarapu, AM 2013, 'Breast Cancer Detection in Highly Dense Numerical Breast Phantoms Using Time Reversal', International Conference on Electromagnetics in Advanced Applications (ICEAA) 2013, IEEE, Torino, Italy, pp. 859-862.
Hossain, MD & Sanagavarapu, AM 2013, 'Coherent Sub-Space Processing for Time Reversal Microwave Imaging', Proceedings of the 2013 International Symposium on Electromagnetic Theory, URSI International Symposium on Electromagnetic Theory, IEEE, Hiroshima, Japan, pp. 254-257.
Hossain, MD & Sanagavarapu, AM 2013, 'Coherent Time Reversal Minimum Variance Beamforming for the Localization of Tissue Malignancies in Dense Breast Phantoms', Proceedings of the Asia Pacific Microwave Conference (APMC) 2013, Asia-Pacific Microwave Conference, IEEE, Seoul, Korea, pp. 377-379.View/Download from: Publisher's site
The time reversal (TR) based minimum variance beamforming, both the standard capon beamforming (SCB) and robust capon beamforming (RCB) techniques for microwave imaging of breast for early stage breast cancer detection is considered in this paper. The performance of coherent signal subspace processing for TR-SCB and TR-RCB techniques is investigated. We have used anatomically realistic numerical breast phantoms in FDTD simulations. We consider 2D sagittal slice of the breast phantom in 2D FDTD simulation. Our simulation results indicate that coherent signal subspace processing significantly improves the performance of TR based minimum variance beamforming techniques.
Hossain, MD & Sanagavarapu, AM 2012, 'Breast Cancer Localization in Three Dimensions using Time Reversal DORT Method', Proceedings of ISAP2012, Nagoya, Japan, IEEE International Symposium on Antennas and Propagation, IEEE, Nagoya, Japan, pp. 471-474.
Breast cancer is a common type of cancer among women all over the world. Successful treatment and prevention of death greatly depends on early detection. Mammography is so far the gold standard for screening breast cancer. But mammogram has high false positive rates for early stage detection and especially not highly reliable for younger women since their breasts are composed of dense breast tissues. Despite continued efforts and some progress, efficient early stage breast cancer detection is still an unsolved challenge. Radar based microwave imaging can be a promising alternative to mammography as it is a non-ionising as well as a non-invasive technique. In the microwave frequency range of interest the attenuation due to breast tissue is low enough to obtain image of the entire breast. All these facts have motivated the researchers to develop microwave imaging techniques for the early detection of breast cancer [1-3].
Hossain, MD, Abedin, MJ & Mohan, AS 2014, 'Beamspace based time reversal processing for breast cancer detection', 2012 IEEE Antennas and Propagation Society International Symposium (APSURSI), IEEE Antennas-and-Propagation-Society International Symposium (APSURSI), IEEE, Chicago, USA.View/Download from: Publisher's site
Hossain, MD, Yang, F, Abedin, MJ & Sanagavarapu, AM 2011, 'Time Reversal Microwave Imaging for the Localization and Classification of Early Stage Breast Cancer', Proceedings of the Asia Pacific Microwave Conference (APMC) 2011, Asia-Pacific Microwave Conference, IEEE Press, Melbourne, Australia, pp. 477-480.
We use time reversal microwave imaging to detect and classify benign and malignant breast cancer lesions in numerical phantoms. We employed Time Reversal MUSIC (TR MUSIC) method to detect breast tumors in the presence of adipose and fibroglandular breast tissues. The classification of tumors is made based on the analysis of singular values of the multistatic matrix. We consider two different bands of frequencies 0.9-3 GHz and 3-10 GHz to show that in 0.9-3 GHz frequency band some distinct features for classification for breast tumors can be extracted.