Module ME3100-KP04, ME3100SJ14

Duration

1 Semester

Turnus of offer

each winter semester

Credit points

4

Course of studies, specific fields and terms:

• Bachelor Robotics and Autonomous Systems 2020 , optional subject, Additionally recognized elective module
• Master Auditory Technology 2022, optional subject, Auditory Technology
• Master Auditory Technology 2017, optional subject, Auditory Technology
• Bachelor Robotics and Autonomous Systems 2016, optional subject, medical image processing
• Bachelor Medical Informatics 2019, optional subject, medical computer science
• Bachelor Medical Informatics 2014, optional subject, medical computer science

Classes and lectures:

• Medical Imaging (exercise, 1 SWS)
• Medical Imaging (lecture, 2 SWS)

Workload:

• 45 hours in-classroom work
• 20 hours exam preparation
• 55 hours private studies

Contents of teaching:

• Introduction to the theory of imaging systems
• Ultrasound imaging
• Conventional X-ray imaging, Computed Tomography
• Magnetic Resonance Imaging

Qualification-goals/Competencies:

• The students can characterise linear translation-invariant imaging systems by means of impulse response and transfer function.
• They can explain the Nyquist-Shannon theorem and justify its validity.
• They can describe what is meant by spatial resolution of an imaging system.
• They can give an overview of important medical imaging techniques.
• They can explain the physical foundations of ultrasound imaging.
• They can describe the behaviour of ultrasound waves at tissue borders.
• They can reason the fundamental limit to spatial resolution in US.
• They can list the interdependence between ultrasound frequency, spatial resolution, and penetration depth.
• They can elucidate how technical parameters are chosen for a given target to be imaged.
• They can discuss aim and realisation of beam forming in US imaging.
• They can explain how Doppler US works.
• They can describe why important US image artefacts occur.
• They can explain the physical and technical foundations of X-ray generation.
• They can sketch the typical spectrum of a technical X-ray source.
• They can list and describe the most important interaction processes between X-rays and matter.
• They can mention possible sources of hazard in X-ray imaging and discuss strategies for avoiding them.
• They can describe the influence of technical parameters in X-ray imaging systems.
• They can describe and justify important reconstruction principles in CT and their mathematical foundations.
• They can explain the physical foundations of nuclear magnetic resonance (NMR).
• They can describe how spatial resolution is achieved in NMR imaging.
• They can justify the occurrence of different types of radio frequency echoes in NMR.
• They can explain the concept of k-space.
• They can describe how different weightings are achieved in MR images.
• They can list sources of hazard in MRI and explain their causes.
• They can describe the technical components of an MR imaging system.
• They can implement important algorithms used in imaging systems.

Grading through:

• written exam

Responsible for this module:

• Prof. Dr. rer. nat. Martin Koch

Teacher:

• Institute of Medical Engineering
• Prof. Dr. rer. nat. Martin Koch

Literature:

• O. Dössel : Bildgebende Verfahren in der Medizin Springer, Berlin 2000
• H. Morneburg (Hrsg.) : Bildgebende Systeme für die medizinische Diagnostik. 3. Aufl. Publicis MCD Verlag, München 1995

Language:

• German and English skills required

Notes:

Last Updated:

11.03.2024