Paper Info
Title
An adaptive window-based hybrid artifact removal method for Ultra-Wide Band imaging enhancement of early breast cancer detection
Abstract
At present, many studies have shown that breast cancer is the primary factor affecting women's health all over the world. In the past decades, ultra-wide band (UWB) microwave imaging has been widely studied as a noninvasive breast cancer detection tool through abundant researches and engineering applications. Generally, the artifact caused by skin and other factors will significantly affect the accuracy of target detection in this technology. Therefore, how to eliminate them is crucial. In this paper, an adaptive window-based hybrid artifact removal (AW-HAR) approach is proposed. It consists of adaptive time window division, revised two-stage filtering, and Savitzky-Golay (S-G) smoothing. This method pre-analyzes the specificity of each channel and divides them into several time windows adaptively. Then adjusted two-stage filtering is carried out on each window to extract partial tumor information. Finally, the fragmented time sequences are integrated and S-G smoothing is applied. The simulation and phantom experiments demonstrate that the AW-HAR has favorable performance in terms of clutter suppression and image clarity. It effectively suppresses surface disturbance and irrelevant response, enhancing the region of interest (ROI) in microwave imaging.
Year
DOI
Venue
2021
10.1016/j.bspc.2021.102980
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
Keywords
DocType
Volume
UWB, Breast cancer detection, Adaptive time window, Two-stage filtering, S-G smoothing, Microwave imaging enhancement
Journal
70
ISSN
Citations 
PageRank 
1746-8094
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Guancong Liu101.01
Xia Xiao211.05
Hang Song373.40
Min Lu4299.98
Takamaro Kikkawa56914.32