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

Numerical Modelling in Medical Therapy and Diagnostics

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Code Completion Credits Range Language
F7DINM ZK 20P+8C English
Garant předmětu:
Giuseppe Ruvio
Lecturer:
Giuseppe Ruvio
Tutor:
Ondřej Fišer, Giuseppe Ruvio, David Vrba, Jan Vrba
Supervisor:
Department of Biomedical Technology
Synopsis:

Medical applications of electromagnetic fields are emerging as new options for diagnosis and therapy of several diseases. Examples are microwave imaging for the diagnosis of cancer disease, thermal therapies for the minimally invasive treatment of tumours or Ultra-Wideband (UWB) radars for the detection and monitoring of the respiratory or cardiac activities. Furthermore, miniaturized sensors and antennas to be implanted inside the human body have been pivotal for ground-breaking medical telemetry and telemedicine. Accurate numerical modelling of the human anatomy including the target tissue are needed and should be developed and validated. Accurate modelling assumes a fundamental role in supporting experimental studies, boosting confidence of the medical community towards emerging technologies and supporting therapeutics with reliable pre-treatment planning. This module focuses on the current state of the art of tissue and body modelling to support emerging biomedical applications where microwave energy is used for diagnosis and/or therapy.

Requirements:

In the case of foreign lecturers, there will be a weeklong block of intensive contact education for the number of students at least five. If the number of students is less than five, the course will be self-study with consultations using VoIP (e.g. Skype) and a contact 1-or 2-day seminar. The contact seminar will take place at the FBMI or at the home institution of a foreign lecturer. 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.

Two laboratory exercises are required for admission to the exam (attested by a protocol signed by the student, the tutor and the supervisor of the course).

The protocols will be archived in the Department for Doctoral Studies.

Requirements for students of the combined form are identical to the full-time form. It is also required to prepare a written study by a student on a given topic from the field.

Syllabus of lectures:

Brief Syllabus of Lectures:

1.Introduction to numerical modelling

2.Sensor modelling (time- and frequency-domain analysis)

3.Optimisation techniques

4.Modelling biological tissues, Human body modelling

5.How to generate a voxel model

6.Design of antennas in near-field proximity for detection / imaging applications

7.Design of on-body antennas.

8.Reverse engineering and measurement validation

9.Multi-physics (Coupled EM-Thermal problems)

10.Modelling a Breast Microwave Imaging problem

Syllabus of tutorials:

Brief Syllabus of Exercises:

1.Design of implanted antennas for telemedicine

2.Human body modelling

Study Objective:

Medical applications of electromagnetic fields are emerging as new options for diagnosis and therapy of several diseases. Examples are microwave imaging for the diagnosis of cancer disease, thermal therapies for the minimally invasive treatment of tumours or Ultra-Wideband (UWB) radars for the detection and monitoring of the respiratory or cardiac activities. Furthermore, miniaturized sensors and antennas to be implanted inside the human body have been pivotal for ground-breaking medical telemetry and telemedicine. Accurate numerical modelling of the human anatomy including the target tissue are needed and should be developed and validated. Accurate modelling assumes a fundamental role in supporting experimental studies, boosting confidence of the medical community towards emerging technologies and supporting therapeutics with reliable pre-treatment planning. This module focuses on the current state of the art of tissue and body modelling to support emerging biomedical applications where microwave energy is used for diagnosis and/or therapy.

Study materials:

Required:

[1] R. C. Conceição, J. J. Mohr, and M. O’Halloran, An Introduction to Microwave Imaging for Breast Cancer Detection, ed. 1 st, Springer International Publishing, 2016, ISBN 978-3-319-27865-0

Recommended:

[1] C. A. Balanis, Antenna Theory: Analysis and Design (4th Edition), John Wiley & Sons, 2016

Note:
Time-table for winter semester 2023/2024:
Time-table is not available yet
Time-table for summer semester 2023/2024:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-04-16
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