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Introduction to Biological Imaging

Module ME562

This Module is offered by TUM Department of Medicine.

This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.

Module version of WS 2012/3 (current)

There are historic module descriptions of this module. A module description is valid until replaced by a newer one.

Whether the module’s courses are offered during a specific semester is listed in the section Courses, Learning and Teaching Methods and Literature below.

available module versions
WS 2012/3SS 2012

Basic Information

ME562 is a semester module in English language at Master’s level which is offered in winter semester.

This Module is included in the following catalogues within the study programs in physics.

  • Focus Area Imaging in M.Sc. Biomedical Engineering and Medical Physics
  • Catalogue of non-physics elective courses
Total workloadContact hoursCredits (ECTS)
180 h 60 h 6 CP

Content, Learning Outcome and Preconditions


The course gives the fundamental engineering background on methods of image formation with focus on image reconstruction approaches (tomography). It presents the hardware, physical principles and algorithmic implementations of mainstream imaging approaches such as microscopy and Magnetic Resonance Imaging and of emerging imaging methods such as optical and opto-acoustic imaging poised to shape the biological and medical paradigm. Examples from real life biological and medical applications are showcased. The course includes hands-on practical exercises using Matlab, reading of state-of-the-art research papers and a field trip to an imaging facility.

Learning Outcome

After successful completion of this course, students will be able to:
- name and understand physical and hardware components of all major imaging techniques,
- understand wave propagation in tissues for non-diffracted and diffracted sources,
- apply principles of forward modelling and inversion / image reconstruction,
- conduct own inversion programming in Matlab,
- understand application regimes of anatomical, functional and molecular imaging, and
- identify emerging, next generation imaging technologies.


knowledge in linear algebra, Fourier-transforms, computer-based numerical solutions, and electronics
(corresponding modules: Linear Algebra (EI) [MA9409], Analysis 3 [MA9413] , Signal Theory [EI00330]).
Knowledge in Matlab is also helpful but not required.

Courses, Learning and Teaching Methods and Literature

Courses and Schedule

Learning and Teaching Methods

The course is a mixture of presentations of several scientific topics by the lecturer and staff members as well as practical exercises (especially programming with standard-software), where the learned theory is applied and further expanded. Another component is literature work, where the students make themselves familiar with current research topics through papers and are to practise their preparation / summary for a presentation. Also planned is the visit of a research institution for a further practical demonstration.


- EDV-based presentation of topics by lecturers and students
- "paper" publications
- the students solve exercises on mostly provided computers with suitable software (Matlab)


- Ntziachristos, Vasilis, Anne Leroy-Willig, and Bertrand Tavitian, eds. Textbook of in vivo Imaging in Vertebrates. John Wiley & Sons, 2007.
- Kak, A. C., and M. Slaney. "Principles of computerized tomography (piscataway, nj: Ieee)." (1987).

Module Exam

Description of exams and course work

The exam consists of a 90 minutes exam (to be taken without auxiliary tools).

Here, the competencies gained through this module will be tested. For example, it will be tested, if the physical components of all major imaging techniques can be named and are understood, if wave propagation in tissues for non-diffracted and diffracted sources is understood, if the principles of forward modelling and inversion / image reconstruction can be applied, if own inversion programming in Matlab can be conducted etc.
The answers need to be given in own words as well as by ticking given multiple choice questions.

Exam Repetition

There is a possibility to take the exam in the following semester.

Current exam dates

Currently TUMonline lists the following exam dates. In addition to the general information above please refer to the current information given during the course.

Introduction to Biological Imaging
Hörsaal B, Klinikum rechts der Isar, smaninger Straße 22, 81675 München
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