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SC02: Microwave imaging for medical diagnostics: from theory to implementation

Lorenzo Crocco

CNR-IREA, Italy
Lorenzo Crocco
Lorenzo Crocco, SM-‐IEEE, was born and educated in Italy. Since 2001, he has been a Research Scientist with the Institute for the Electromagnetic Sensing of the Environment, National Research Council of Italy (IREA-­‐CNR). His scientific activities mainly concern theoretical aspects and applications of electromagnetic scattering, with a focus on diagnostic and therapeutic uses of electromagnetic fields, through-­‐the-­‐wall radar and GPR. On these topics, he has published more than 70 papers in peer-­‐reviewed journals, given keynote talks at international conferences and led or participated to Italian and European research projects. He has served as Guest Editor for international journals and co-­‐chaired two international conferences on GPR. He is in the Editorial Board of the International Journal of Antennas and Propagation. He is member of the management committee of COST Action MiMed (TD1301) and leader of the Working Group on “New techniques and emerging applications for microwave imaging”. Dr. Crocco is a Fellow of The Electromagnetics Academy (TEA). He was the recipient of the "Barzilai" Award for Young Scientists from the Italian Electromagnetic Society (2004). In 2009, he was awarded as one of the best under 40 scientists of CNR. In 2014, he has been habilitated as professor of Electromagnetic Fields by the Italian Ministry of Research and University. From 2009 to 2012, he has adjunct professor at the Mediterranea University of Reggio Calabria, Italy, teaching undergraduate and Master courses of Electromagnetic Waves and Non-­‐ invasive EM Diagnostics. Since 2013, he is has been an instructor in courses organized by the European School of Antennas (ESOA), giving lectures on methods in inverse scattering and biomedical application of microwave imaging.

Panagiotis Kosmas

King's College London, United Kingdom
Panagiotis Kosmas
Panagiotis Kosmas, M-IEEE, joined King's College London (KCL) as a Lecturer in 2008, and is currently a member of KCL's Centre for Telecommunications (CTR) within the Department of Informatics. Prior to his appointment, he held research positions at the Center for Subsurface Sensing and Imaging Systems (CenSSIS), Boston, USA, the University of Loughborough, UK, and the Computational Electromagnetics Group, University of Wisconsin-­‐ Madison, USA. His expertise in microwave imaging includes radar and tomographic methods, and he has pioneered the use of time reversal for microwave breast cancer detection. He has over 60 journal and conference publications on microwave imaging and related research interests include computational electromagnetics with application to other areas of subsurface sensing, antenna design, and inverse problems theory and techniques. He has received UK private (FABW charity) and public (TSB) funding for projects in microwave sensing and imaging, and signal processing for land-­‐mine detection. He has taught undergraduate and graduate courses on EM theory, antennas and propagation, and stochastic processes. He is a regular contributor and reviewer for various IEEE Transactions journals, including Antennas and Propagation, Biomedical Engineering and Medical Imaging. Dr. Kosmas is member of the management committee of COST Action MiMed (TD1301) and leader of the Working Group on "Widespread adoption of microwave imaging devices in clinical practice and framework for their commercialisation".

Abstract

SC02_additional_images
Medical applications of electromagnetic fields are an emerging topic for the EURAAP community, as witnessed by successful sessions in the last few and upcoming EUCAP and IEEE AP conferences. Through their involvement with COST Action TD1301 "MiMed", which involves microwave imaging applications, the proponents have realized the need of introducing microwave engineers with diverse backgrounds to the theory and practical implementation of advanced microwave imaging methods for application in medical imaging.
Built on the successful experience of previous course given in EUCAP2015, the short course will introduce the audience to this complex topic and also to provide hands-­‐on tools that would enable interested researchers to embark on this field. We are confident that by explaining the theory and implementation of microwave imaging methods to a potential large audience (e.g. MiMed participants, as well as students from various groups worldwide), we will motivate new research in this important area.

Course outline

The material will be mostly covered with PowerPoint slides, but answers to questions and general discussion may also require a board to cover complex mathematical concepts and explanations.
The instructors will pay specific attention to answering questions and explaining how the (sometimes complex) mathematical concepts can be implemented in practice via numerical codes. A draft of the course's structure is given below:
  • Part I (1h, including Q&As and Break): Introduction & Theoretical Background
    • Introduction on emerging microwave medical imaging applications, which are based on the methods presented in the course. This will emphasize the need for microwave imaging and will motivate the material covered in the course. (15mins)
    • Challenges in microwave imaging: a review of theoretical basis of inverse scattering problems. (30 mins)
    • Question and answers
  • Break
  • Part II (3h, including Q&As and Break): From theory to implementation - The microwave imaging practitioner toolbox, with examples
    • Linear model-­‐based inversion. Differential imaging for clinical follow-­‐up, contrast enhanced microwave imaging. (60 mins)
    • Question and answers
    • Break
    • Non-­‐linear Microwave Tomography Methods (Contrast-­‐Source Inversion, Gauss-­‐Newton Methods). Quantitative imaging of human tissues' electric properties. (75 mins)
    • Emerging topics in MWI: sparsity-­‐based imaging techniques, projection-­‐basis regularization. (25mins)
  • Final Question and answers
  • Conclusion
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Exhibition Schedule
DayBeginEnd
Monday 11 10:40 18:00
Tuesday 12 09:00 18:00
Wednesday 13 09:00 18:00
Thursday 14 09:00 18:00
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