Authors:
- 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)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Department of Electrical Engineering, University of North Dakota, Grand Forks, USA
Sima Noghanian
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Department of Electrical Engineering, Wilkes University, Wilkes-Barre, USA
Abas Sabouni
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Department of Computer Science, University of North Dakota, Grand Forks, USA
Travis Desell
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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.Â
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.
Bibliographic Information
Book Title: Microwave Tomography
Book Subtitle: Global Optimization, Parallelization and Performance Evaluation
Authors: Sima Noghanian, Abas Sabouni, Travis Desell, Ali Ashtari
DOI: https://doi.org/10.1007/978-1-4939-0752-6
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-4939-0751-9
Softcover ISBN: 978-1-4939-4577-1
eBook ISBN: 978-1-4939-0752-6
Edition Number: 1
Number of Pages: XVII, 198
Number of Illustrations: 5 b/w illustrations, 112 illustrations in colour
Topics: Microwaves, RF and Optical Engineering, Computer Imaging, Vision, Pattern Recognition and Graphics, Signal, Image and Speech Processing, Imaging / Radiology