Breast Image Reconstruction and Cancer Detection Using Microwave Imaging

This reference text explores cutting edge research into the detection of breast cancer using Microwave Imaging. Early breast cancer detection is vital for reducing mortality rates. Within this book Microwave scattering and microwave imaging based cancer detection are analysed as well as breast anatomy and breast cancer types. The book discusses 3-D level set based optimization as well as the Finite difference time domain (FDTD) technique. Advanced methods in image reconstruction techniques and Group Theory are explained with application to computation reduction. Machine learning-based advanced methods are also described for breast cancer detection.

This book is highly useful for the academic community working in biomedical imaging, electromagnetic and microwave imaging, breast cancer imaging, inverse scattering and optimization.

Key Features:

• Breast cancer screening techniques are described and with advantages and disadvantages

• Multiple frequency inverse scattering is discussed

• Microwave imaging basics with detection analysis are explained in detail

• Includes 3-D level set based optimization

• Presents advanced methods on image-based reconstruction techniques

這本參考書探討了使用微波成像技術進行乳癌檢測的尖端研究。早期乳癌檢測對於降低死亡率至關重要。本書分析了微波散射和基於微波成像的乳癌檢測，以及乳房解剖學和乳癌類型。書中討論了基於3D水平集優化和有限差分時域（FDTD）技術。還解釋了圖像重建技術和群論的先進方法，並應用於計算減少。同時還描述了基於機器學習的先進方法用於乳癌檢測。

這本書對於從事生物醫學成像、電磁和微波成像、乳癌成像、反散射和優化的學術界非常有用。

主要特點：
- 描述了乳癌篩查技術及其優缺點
- 討論了多頻率反散射
- 詳細解釋了微波成像基礎和檢測分析
- 包括基於3D水平集的優化方法
- 提出了基於圖像的重建技術的先進方法