Title :
Pole Splitting algorithm for UWB breast cancer imaging
Author :
Shaheen, Ahmed Maher Abed ; Quboa, Kaydar M.
Author_Institution :
Dept. of Electr. Eng., Univ. of Mosul, Mosul, Iraq
Abstract :
In this paper, microwave breast cancer detection is investigated using Ultra-Wide Band (UWB) radar imaging. New approach for calibrating the received signals Pole Splitting is proposed for imaging. This approach is based on Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT). The CST software simulation tool made for simulating the electromagnetic propagation through different mediums is used. Numerical phantom with complicated structures that uses the dispersive dielectric properties of the breast tissues has been developed for investigating the proposed approach and comparing it with the conventional averaging approach. The results show improvement in the detection using the proposed Pole Splitting approach compared with the conventional averaging approach.
Keywords :
biological tissues; calibration; cancer; invariance; medical image processing; microwave imaging; parameter estimation; phantoms; radar imaging; ultra wideband radar; CST software simulation tool; UWB breast cancer imaging; breast tissues; calibration; dispersive dielectric properties; electromagnetic propagation; microwave breast cancer detection; numerical phantom; pole splitting algorithm; rotational invariance techniques; signal parameter estimation; ultrawide band radar imaging; Antennas; Breast; Phantoms; Radar imaging; Reflection; Skin; Tumors; DAS; ESPRIT; IDAS; Radar imaging; UWB;
Conference_Titel :
Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
Conference_Location :
Yasmine Hammamet
Print_ISBN :
978-1-4673-0782-6
DOI :
10.1109/MELCON.2012.6196462