Title :
Breast tumor characterization via complex natural resonances
Author :
Huo, Y. ; Bansal, R. ; Zhu, Q.
Author_Institution :
Electr. & Comput. Eng. Dept, Connecticut Univ., Storrs, CT, USA
Abstract :
The research described in this paper is aimed at modeling tumors in breast tissue as buried dielectric targets so that their complex natural resonances (CNR) can be identified and correlated with clinically useful properties. FDTD simulation and Prony´s method are used to demonstrate the approach numerically. The technique is proposed as a modality complementary to ultrasound tumor detection.
Keywords :
bioelectric phenomena; dielectric materials; dielectric resonance; finite difference time-domain analysis; patient diagnosis; tumours; FDTD simulation; Prony´s method; breast tumor characterization; buried dielectric targets; clinically useful properties; complementary modality; complex natural resonances; medical diagnostic technique; ultrasound tumor detection; Biological tissues; Breast cancer; Breast neoplasms; Breast tissue; Breast tumors; Finite difference methods; Lesions; Magnetic resonance imaging; Mammography; Ultrasonic imaging;
Conference_Titel :
Microwave Symposium Digest, 2003 IEEE MTT-S International
Conference_Location :
Philadelphia, PA, USA
Print_ISBN :
0-7803-7695-1
DOI :
10.1109/MWSYM.2003.1210958
