- Teacher: Georgios Dedes
- Teacher: Marco Ferreira Pinto
This course will introduce you to the fascinating topics of biosignals and biosensors. It is intended to give you an overview of the many concepts involved in the world of biosignals and biosensors, and give you the exciting opportunity to acquire your own biosignals using biosensors. It is entirely in English, but please note that your English skills will not be a factor in your grading. I have years of experience teaching in English, and language was never an issue for the success of my students.
The course starts with an introduction to biosignals and biosensors, followed by some topics on signal processing. Following this, a more detailed analysis of biosensors and the physics of biosignals in relation to physiology and anatomy will be presented. An introduction to programming and electronics concepts connected to Arduino follows. Finally, this course will conclude with practical exercises in which you will use an Arduino board and biosensors, and acquire your own biosignals.
Please note that the programming and electronic content are designed for beginners. The purpose is to exploit those programming and Arduino tools to explore the concepts of biosignals and biosensors.
Wahlpflicht-Vorlesung (elective course)
- Teacher: Marco Ferreira Pinto
This course introduces you to the concepts and practices of health informatics. Health informatics is a field of science that aims to develop methods and technologies for acquiring, processing, and studying patient data. Although this may sound like a course for informatics or computer science students, that is far from the truth. Health informatics is a multidisciplinary field, making it quite suitable for Physics students due to the need to connect physical phenomena and informatics. For example, understanding how ionizing radiation interacts with matter enables physicists to develop methods for processing and studying data obtained following the interaction of radiation.
Furthermore, as a future physicist, you can decide to work in a hospital in a role with responsibilities at the level of IT, and the concepts introduced in this course may help you. This course is entirely in English, but please note that your English skills will not be factored into your grade. I have years of experience teaching in English, and language was never an issue for the success of my students.
The course will introduce you to some concepts of health informatics. Some aspects of the course will be theoretical, but the learning process aims to put into practice what is covered. For example, when some medical file formats are introduced, you will learn to read and work with them using Python. Another example: hospitals have servers where information is stored, and you will create your small-scale server to understand the principles. Programming with Python is part of this course, but it will be done at a beginner level. Nevertheless, it will help if you are willing to learn a bit of Python to succeed in this course.
The lectures begin with an introduction to the given topic and are followed by a hands-on component. The exercises and examples used are practical applications of health informatics, thus real-world examples of what can be expected in a health informatics context. The solutions to the exercises will be uploaded one week later.
Content:
- Introduction to Python
- Data analysis and data mining using python
- Medical formats – DICOM, HL7 v2, v3 and FHIR, JSON
- Medical image registration
- Medical image storage (PACS)
- Treatment planning systems
Schlüsselqualifikation (key qualification) for Bachelor and Master students
- Teacher: Marco Ferreira Pinto
This tutorial and exercise accompanies the lecture
Medical Physics Aspects in Ion Beam Therapy in Clinical Practice. A
registration for this tutorial is strongly recommended for all participants of
the lecture.
In the tutorial we will recap some aspects of the lecture and answer questions,
we will solve together in-class exercises, preparing you for working on
the short weekly exercise sheets at home. The exercise sheets should be handed-in and
will be corrected.
Please register on LSF.
- Teacher: Jonathan Bortfeldt
Content
of the Lecture:
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- Teacher: Peter Thirolf
Content of the Lecture:
Overview of detector systems for Medical Imaging
Basic physical interactions of particles and radiation with matter
Gas-filled (ionization) detectors
Scintillation Detectors
Basics of Positron Emission Tomography
Semiconductor detectors: Silicon
Semiconductor detectors: Germanium
Electronic detector readout and signal processing
Radiochromic films and Thermoluminiscence detectors
- Teacher: Peter Thirolf
- Teacher: Paola Coan
- Teacher: Guillaume Landry
- Teacher: Katia Parodi
- Teacher: Paola Coan
- Teacher: Guillaume Landry
- Teacher: Katia Parodi
- Teacher: Marco Riboldi
- Teacher: Katia Parodi
- Teacher: Christopher Kurz
- Teacher: Guillaume Landry
- Teacher: Marco Riboldi
- Teacher: Adrian Thummerer