Title :
A confocal microwave imaging algorithm for breast cancer detection
Author :
Li, Xu ; Hagness, Susan C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
fDate :
3/1/2001 12:00:00 AM
Abstract :
We present a computationally efficient and robust image reconstruction algorithm for breast cancer detection using an ultrawideband confocal microwave imaging system. To test the efficacy of this approach, we have developed a two-dimensional (2-D) anatomically realistic MRI-derived FDTD model of the cancerous breast. The image reconstruction algorithm is applied to FDTD-computed backscatter signals, resulting in a microwave image that clearly identifies the presence and location of the malignant lesion. These simulations demonstrate the feasibility of detecting and imaging small breast tumors using this novel approach.
Keywords :
backscatter; biomedical imaging; cancer; finite difference time-domain analysis; image reconstruction; microwave imaging; tumours; FDTD model; backscatter signals; breast cancer detection; confocal microwave imaging algorithm; image reconstruction; malignant lesion; tumors; ultrawideband imaging; Breast cancer; Cancer detection; Finite difference methods; Image reconstruction; Microwave imaging; Robustness; Testing; Time domain analysis; Two dimensional displays; Ultra wideband technology;
Journal_Title :
Microwave and Wireless Components Letters, IEEE
DOI :
10.1109/7260.915627