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Ultrasound Fundamentals and Applications in Biology and Medicine
Last Updated: 2026-02-05 16:30:15
Abstract
Ultrasound waves are non-ionizing and thus provide a safe means to interrogate and treat biological tissues. Advantages such as real-time operation, low cost, and portability have led to ultrasound systems becoming standard tools in hospitals and research laboratories. Applications in biology and medicine include ultrasound and optoacoustic imaging, thermal therapy, or pulse stimulation.
Objective
The objective of the course is that students are able to understand how to use ultrasound in biology and medicine and generalize this knowledge to applications in other fields.
Content
The course will cover the basic physics of ultrasound (acoustic waves at frequencies higher than the audible range) in biological tissues as well as the instrumentation required to generate and detect these waves. Imaging methods will extensively be described in the course. Specifically, standard and ultra-fast ultrasound imaging approaches will be covered along with new optoacoustic and transmission ultrasound imaging methods. The course will also describe mathematical modelling approaches and numerical methods as well as signal and image processing tools applicable in ultrasound-based imaging. Other topics include ultrasound sensors, laser ultrasound, therapeutic effects, or biomedical applications and contrast agents. The course will conclude with current and future research directions in the field of ultrasound in biomedicine.
Resources
Lecture Notes
The lecture slides will be made available to the students.
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 120 minutes
- Aids
- Printed notes and a scientific calculator in the written exam
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Ultrasound Fundamentals and Applications in Biology and Medicine |
|
3 h weekly |
Offered In
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Track Core Courses (During the Master programme, a minimum of 12 CP must be obtained from track core courses.)
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Recommended Elective Courses (These courses are particularly recommended for the Biomechanics track. Please consult your track advisor if you wish to select other subjects.)
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Recommended Elective Courses (These courses are particularly recommended for the Bioelectronics track. Please consult your track advisor if you wish to select other subjects.)
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Track: Signal Processing and Machine Learning (The core courses and specialisation courses below are a selection for students who wish to specialise in the area of "Signal Processing and Machine Learning ", see . The individual study plan is subject to the tutor's approval.)
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Specialisation Courses (These specialisation courses are particularly recommended for the area of "Signal Processing and Machine Learning", but you are free to choose courses from any other field in agreement with your tutor. A minimum of 40 credits must be obtained from specialisation courses during the MSc EEIT.)
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