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Microwave Tomography

Global Optimization, Parallelization and Performance Evaluation

  • Book
  • © 2014

Overview

  • Focuses on microwave tomography imaging which provide quantitative images and requires solve inverse scattering problem using iterative technique
  • Introduces techniques that can be efficiently used for real time analysis of medical imaging techniques
  • Examines the combination of classification methods to include a priori information, global optimization and numerical forward solver that is unique
  • Includes supplementary material: sn.pub/extras

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Table of contents (9 chapters)

Keywords

About this book

This book provides a detailed overview on the use of global optimization and parallel computing in microwave tomography techniques. The book focuses on techniques that are based on global optimization and electromagnetic numerical methods. The authors provide parallelization techniques on homogeneous and heterogeneous computing architectures on high performance and general purpose futuristic computers. The book also discusses the multi-level optimization technique, hybrid genetic algorithm and its application in breast cancer imaging.

Authors and Affiliations

  • Department of Electrical Engineering, University of North Dakota, Grand Forks, USA

    Sima Noghanian

  • Department of Electrical Engineering, Wilkes University, Wilkes-Barre, USA

    Abas Sabouni

  • Department of Computer Science, University of North Dakota, Grand Forks, USA

    Travis Desell

  • Invenia Technical Computing, Winnipeg, Canada

    Ali Ashtari

About the authors

Sima Noghanian is an associate professor and chair of the Antenna and Applied Electromagnetics department of the University of North Dakota. 

Travis Desell is an assistant professor at the University of North Dakota.

Abas Sabouni is a research associate at Concordia University.

Ali Ashtari is the lead researcher at Invenia Technical Computing.

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