Master Practical Course Biomedical Engineering

Course given by
Prof. Dr.-Ing. Georg Schmitz,
Dr.-Ing. Stefanie Dencks
Course number
142220
Language
German
Credit Points
3
Hours per week
3
Click here to go to

Moodle

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Contents

The practical course will deepen the basics of ultrasound imaging methods and image registration in four experiments. The experiments are carried out on several consecutive dates. The focus is on the ultrasound imaging methods.

In a basic experiment on ultrasound imaging, the fundamentals of sound reflection and attenuation, signal processing, and the formation of the ultrasound B-scan image are taught. Based on this, an ultrasonic transducer is optimized in a further experiment using FEM programs. FEM transducer models, equivalent circuit diagrams and design criteria for ultrasonic transducers are presented. An experiment on field simulation of acoustic wave propagation deals with array design and design criteria for ultrasonic transducer arrays. Beam shaping methods, imaging artifacts, and various scanning techniques are explored using the Field II simulation program so that students can gain hands-on experience with field simulations. The last experiment covers the topic of image registration. Here, the application example of computer-assisted surgery is used to teach how different image data can be fused. For this purpose, known algorithms are to be implemented in Matlab and then tested in a given experimental setup.

First organizational meeting

Room
ID 04/232
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Meeting starts
14:15
Meeting ends ca.
16:00
Day of first meeting
Monday, 14.10.2024

Practical Excercises

Room
ID 04/271
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Excercise begins
14:15
Excercise ends
17:00
Weekday
Monday
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Objectives

After successful completion of the module, students have a deeper understanding of previously acquired knowledge in the field of signal processing and imaging and the ability to implement it in practical applications. They are able to select and discuss suitable models, perform and evaluate simulations by using appropriate software (e.g. Matlab, OnScale), and optimize solution approaches based on these. They will be able to work collaboratively in small teams and prepare technical reports. As a key qualification, among other things, the procedure for complex designs is mastered.
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Requirements

none

Prior knowledge

Contents of the lectures: Medical Ultrasound, Tomographic Imaging, Image Processing in Medicine.

Literature

  • Buzug, Thors­ten M. “Ein­füh­rung in die Com­pu­ter­to­mo­gra­phie. Ma­the­ma­tisch-phy­si­ka­li­sche Grund­la­gen der Bild­re­kon­struk­ti­on”, Sprin­ger, 2007
  • Op­pelt, Ar­nulf “Ima­ging Sys­tems for Me­di­cal Dia­gnostics”, Pu­bli­cis Cor­po­ra­te Pu­blis­hing, 2005
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Miscellaneous

The internship is organized via Moodle. Self-enrollment in the course is possible from the preliminary meeting with the password "MedImag".