Introduction to Biological Imaging

About the course

Do you want to break into a field which uses engineering to help medical doctors and biologists in their daily life? Are you fascinated by a field which can prepare you for working at the interface of engineering, biology and medicine? Are you interested in bringing solutions to medicine and help patients by complementing biology discovery with engineering problem solving ability? Then this course is for you. Biomedical engineers and imaging experts are shaping the world of biomedicine and see high demand for their expertise both in academia and in the industry in Europe, North America and Southeast Asia. Importantly, imaging scientists develop an in-depth understanding of the interplay between technology and the Life Sciences, serving as a leverage point to integrate engineering into biological and medicine pipelines in areas of sensing and information processing in general.

Among other topics, in this course you will learn about:

1. How are images formed in different imaging modalities?

2. What are the physical properties and computational principles of image formation?

3. What are the differences between X-ray CT and Magnetic Resonance Imaging?

4. How does Ultrasound and Nuclear Imaging methods work? What is optoacoustics?

5. What is optical microscopy and how does it help to propel biology into impacting medicine?

6. What is forward modelling and inversion?

7. How imaging contributes to advanced prognosis, diagnosis and theranostics?


Whenever possible, the course outlines the complementation of Modern Engineering and Biology as diverse but highly synergistic scientific cultures that share a common future. We further explain how Biomedical Engineers will play a central role into developing solutions for Healthcare and the Life Sciences, supporting top innovation activities.




Schedule - Winter Semester 2021-2022

Lectures (Wednesdays, 16:30 - 18:00) and Practical Exercises (Wednesdays, 18.00-19.30)


Date Title Lecturer Exercises
27. Oct Introduction Ntziachristos  
3. Nov X-ray and computed tomography Jüstel        Matlab for imaging
10. Nov Optical microscopy Ntziachristos  
17. Nov Optical & optoacoustic imaging Ntziachristos CT, X-ray
24. Nov Forward problem physics Jüstel  
1. Dec Forward problem numerical Jüstel Forward problems
8. Dec Nuclear imaging Ntziachristos  
15. Dec Inverse problems in imaging Jüstel Inverse problems
12. Jan MRI 1 Ntziachristos  
19. Jan MRI 2 Karampinos  MRI
26. Jan Ultrasound imaging Zahnd  
2. Feb Artificial intelligence and imaging Menze  
9. Feb Case study and review Stiel