tailieunhanh - Báo cáo hóa học: " Novel Multistatic Adaptive Microwave Imaging Methods for Early Breast Cancer Detection"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Novel Multistatic Adaptive Microwave Imaging Methods for Early Breast Cancer Detection | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID91961 Pages 1-13 DOI ASP 2006 91961 Novel Multistatic Adaptive Microwave Imaging Methods for Early Breast Cancer Detection Yao Xie 1 Bin Guo 1 Jian Li 1 and Petre Stoica2 1 Department of Electrical and Computer Engineering University of Florida . Box 116200 Gainesville FL 32611-6200 USA 2 Systems and Control Division Department of Information Technology Uppsala University . Box 337 75105 Uppsala Sweden Received 19 October 2005 Accepted 21 December 2005 Multistatic adaptive microwave imaging MAMI methods are presented and compared for early breast cancer detection. Due to the significant contrast between the dielectric properties of normal and malignant breast tissues developing microwave imaging techniques for early breast cancer detection has attracted much interest lately. MAMI is one of the microwave imaging modalities and employs multiple antennas that take turns to transmit ultra-wideband UWB pulses while all antennas are used to receive the reflected signals. MAMI can be considered as a special case of the multi-input multi-output MIMO radar with the multiple transmitted waveforms being either UWB pulses or zeros. Since the UWB pulses transmitted by different antennas are displaced in time the multiple transmitted waveforms are orthogonal to each other. The challenge to microwave imaging is to improve resolution and suppress strong interferences caused by the breast skin nipple and so forth. The MAMI methods we investigate herein utilize the data-adaptive robust Capon beamformer RCB to achieve high resolution and interference suppression. We will demonstrate the effectiveness of our proposed methods for breast cancer detection via numerical examples with data simulated using the finite-difference time-domain method based on a 3D realistic breast model. Copyright 2006 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION Breast cancer