Microwave Radar and Microwave-Induced Thermoacoustics: Dual-Modality Approach for Breast Cancer Detection

Abstract

Microwave radar and microwave-induced thermoacoustics, recently proposed as promising breast cancer detection techniques, each have shortcomings that reduce detection performance. Making the assumption that the measurement noises experienced when applying these two techniques are independent, we propose a methodology to process the input signals jointly based on a hypothesis testing framework. We present two test statistics and derive their distributions to set the thresholds. The methodology is evaluated on numerically simulated signals acquired from 2-D numerical breast models using finite-difference time-domain method. Our results show that the proposed dual-modality approach can give a significant improvement in detection performance.

Coherent time-reversal microwave imaging for the detection and localization of breast tissue malignancies

“…For adipose tissue‐dominated C2 phantom, C‐TR‐RCB performance is as good as the conventional method. We have also computed peak signal to sidelobe ratio (PSLR) [ Kirshin et al ., ], which is tabulated in Table , to further illustrate the superior performance of the proposed coherent focusing.…”

“…In order to overcome the problem of imaging in dense breasts, several techniques have been proposed, e.g., injection of contrast enhancing agents into the breast [Abutarboush and Klemm, 2013;Chen and Kosmas, 2012;Shea et al, 2010] as well as hybrid imaging modalities [Guo et al, 2007;Kirshin et al, 2013;Meaney et al, 2013;Wu et al, 2011]. However, the efficacy of these approaches has not yet been fully demonstrated.…”

Electrical circuit modeling and analysis of microwave acoustic interaction with biological tissues

“…It predicts that the combination of microwave imaging and microwave-induced thermoacoustic imaging is expected to offer enhanced performance, which has been researched by numerical simulations in very recent work for benign and malignant tumor differentiation. 6,7 Interestingly, according to the expression (42) of the transducer gain, it is intuitive to see that S 11 , S 21 , and S 22 are preferred to be large, together with preferred small G and L . Combining of photoacoustic or thermoacoustic with ultrasound imaging has also been proposed recently, which is to maximize S 21 and S 22 at the same time.…”

“…5 Multimodality imaging combining MI and TAI is expected to achieve higher performance than any one of them. [6][7][8] For both microwave imaging (such as microwave tomography and confocal microwave imaging) and microwave-induced thermoacoustic imaging, microwave signal is transmitted into biological tissues and interacting with the tumor. The scattered microwave signal is received by the antenna placed around the biological tissues for microwave imaging, [9][10][11][12][13][14] and the acoustic signal induced by microwave absorption and thermal expansion is detected by ultrasound transducers for thermoacoustic imaging, [15][16][17][18][19][20][21] as shown in Fig.…”

Nuclei segmentation for computer-aided diagnosis of breast cancer

“…Recently a large amount of studies has been conducted on computer-aided breast cancer diagnosis based on mammography, ultrasonography and microwave imaging (Moon et al, 2011;Mohanty et al, 2013;Cheng et al, 2010;Moghbel and Mashohor, 2013;Verma et al, 2010;Li et al, 2013;Xu et al, 2012;Ganesan et al, 2013;Grzegorczyk et al, 2012;Kirshin et al, 2013;Nikolova, 2011). Some of the proposed solutions have been successfully used in hospitals and research centers (Birdwell et al, 2005;Butler et al, 2004;Cupples et al, 2004;Dean and Ilvento, 2006;Destounis et al, 2004;Doi, 2005;Gi-ger, 2004;Morton et al, 2006;Eadie et al, 2012;Alvarez Menendez et al, 2010).…”