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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024
UPOZORNĚNÍ: Jsou dostupné studijní plány pro následující akademický rok.

Advances in Microwave Imaging

The course is not on the list Without time-table
Code Completion Credits Range Language
F7ADIAMI ZK 20P+8C English
Garant předmětu:
Lecturer:
Tutor:
Supervisor:
Department of Biomedical Technology
Synopsis:

The exploitation of electromagnetic field data as a sensing tool paves the way to a number of interesting engineering applications including antenna testing and characterization, biomedical diagnostics, humanitarian demining, archeological prospection, through-the-wall imaging, non‐destructive testing of transport infrastructures and buildings, and many others. This course, after reviewing fundamental equations and main difficulties of inverse problems in high-frequency electromagnetics, will focus on classical and recently introduced solution procedures and algorithms, discussing capabilities, limitations, and perspectives of both approximate and 'exact' reconstruction methods. Applicative examples, including exercises and lessons regarding specific applications, will corroborate the developed concepts.

Requirements:

The subjects are concluded by an oral examination. The student must elaborate a paper on a given topic together with the exam in case of the controlled self-study. Assessment will be based on active participation in the discussion exercises, reports of group work and presentation of the research protocol conducted during the workshop..

Syllabus of lectures:

Brief Syllabus of Lectures:

1.Introduction to Inverse Source and Inverse Scattering Problems: Formulation and Relevance

2.Mathematical Issues of Inverse Scattering Problems

3.Radiated Field Properties and Basic Theoretical Limitations in Inverse Source and Inverse Scattering Problems

4.Basic Tools: Classical and Novel Regularization Techniques (Tichonov, TSVD, Compressive Sensing)

5.Qualitative Imaging Methods: Introduction

6.The Linear Sampling Method: Theory and Examples

7.Full‐wave Imaging: Difficulties Arising from Non‐Linearity and Strategies for Dealing with Non‐Linearity

8.Deterministic Strategies: Theory and Examples

9.Stochastic Strategies: Theory and Examples

10.Bio Applications

Syllabus of tutorials:

Brief Syllabus of Exercises:

1.Solving Microwave Imaging Problems by means of Global Optimization

2.Test of an antnna element for microwave imaging systems – measurement of reflection coefficient.

Study Objective:

The exploitation of electromagnetic field data as a sensing tool paves the way to a number of interesting engineering applications including antenna testing and characterization, biomedical diagnostics, humanitarian demining, archeological prospection, through-the-wall imaging, non‐destructive testing of transport infrastructures and buildings, and many others. This course, after reviewing fundamental equations and main difficulties of inverse problems in high-frequency electromagnetics, will focus on classical and recently introduced solution procedures and algorithms, discussing capabilities, limitations, and perspectives of both approximate and 'exact' reconstruction methods. Applicative examples, including exercises and lessons regarding specific applications, will corroborate the developed concepts.

Study materials:

Required:

[1] M. Pastorino, Microwave Imaging, 1 edition. Hoboken, N.J: Wiley, 2010.

Recommended:

[1] R. C. Conceição, J. J. Mohr, and M. O’Halloran, Eds., An Introduction to Microwave Imaging for Breast Cancer Detection, 1st ed. 2016 edition. Springer, 2016.

Note:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2024-05-28
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