Microwave Tomography

Beschreibung

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.
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.
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

Autor*in

Sima Noghanian

Themen in »Microwave Tomography«

Binary genetic algorithm Domain Finite difference time domain Frequency dependence finite difference time Global optimization techniques Hybrid genetic algorithm Inverse scattering problem Microwave imaging Microwave tomography Particle swarm optimization Real genetic algorithm

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