Design a Planar Antenna of Integrated Microwave Imaging Radar for Detecting Earlier Breast Cancer
Abstract
In this paper, a compact design and construction of micro strip feed planar antenna comprising both coupling and decoupling structure is presented. Each antenna element working under wider frequency range of about 2-16 GHz. To achieve a better imaging radar tool a dedicated radar transceiver is proposed. Segmentation is applied to the decoupled image from transceiver. After, a novel hybrid artifact removal algorithm for microwave breast imaging applications is presented, which combines the best attributes of two existing algorithms to effectively remove the early-stage artifact while preserving the tumor dynamic range of bandwidth is proposed. . The main concern of this project is to diagnose the benign tissue at the earliest as most cancer cells are completely curable at the earlier stage. The tool is best suited for diagnosis of earliest breast cancer causing tumor cells having resolution of about 3 mm.
Keywords
Download Options
Introduction
The dramatic development of wireless communication leads to the development of microwave imaging technique to image human body has been taking place now. As reported in [1], breast cancer is one of the most incident tumours among the female population. Since 95% of the cures are possible if they are identified in the benign stage and it could be treated as well and prevented from being the tissue to be malignant. These Microwave integrated devices has its wider applications in the biomedical field.
A novel hybrid artifact removal algorithm for microwave breast imaging applications is presented. The novelty of this study is threefold. First, the authors propose a hybrid artifact removal algorithm that combines the best attributes of the Entropybased Time Windowing algorithm[1] and Wiener Filter algorithm[2] to effectively remove the early-stage artefact while preserving the tumor response. Second, the algorithm is evaluated using an anatomically and dielectrically accurate 3-D finite-difference time-domain (FDTD) model (compared to the 2-D homogeneous FDTD model originally used[1]). Third, the hybrid algorithm presented here shows a very clear improvement compared to the original algorithm across a range of appropriate metrics.
Conclusion
In this letter, a hybrid artifact removal algorithm for microwave breast imaging applications is presented, which combines the best attributes of two existing algorithms to effectively remove the early-stage artifact while preserving the tumor response. A time window is designed based on the entropy values, which represents the artifact-dominant part of the signal, and the artifact is removed by applying the Wiener Filter algorithm over the estimated artifact window.
After artifact removal, beam formed images are obtained using a simple delay-and-sum beam former. Results indicate that the proposed algorithm provides for an improved artifact window selection and uses a Wiener Filter to remove the artifact while preserving the tumor response across all channels. The algorithm is compared to the Entropy-based Time Window algorithm, and results indicate that the proposed algorithm performs better in terms of signal and image quality metrics, from simple homogeneous scenarios to more realistic dielectrically heterogeneous scenarios.
Future work will focus on extending the proposed algorithm for artifact removal to the more challenging scenario of multistatic radar signals.