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Introduction to Biological Imaging

Module ME562

This Module is offered by TUM School 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.

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 120 h 6 CP

Content, Learning Outcome and Preconditions

Content

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

"to gain a fundamental knowledge in biomedical imaging which includes the following areas:
- physical and hardware components of all major imaging techniques
- wave propagation in tissues for non-diffracted and diffracted sources
- principles of forward modelling and inversion / image reconstruction
- own inversion programming in Matlab
- Application regimes of anatomical, functional and molecular imaging
- emerging, next generation imaging technologies"

Preconditions

"knowledge in linear algebra, Fourier-transforms, computer-based numerical solutions, Matlab and electronics
(corresponding courses: Mathematics 1 & 4, Signaldarstellungen, Schaltungstechnik 1 as well as the project course Matlab)"

Courses, Learning and Teaching Methods and Literature

Courses and Schedule

TypeSWSTitleLecturer(s)Dates
VO 2 Introduction to Biological Imaging

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.
"

Media

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

Literature

"recommended:
- Ntziachristos V., Leroy-Willig A, Tavitian B (Hrsg.): Textbook of in-vivo Imaging in Vertebrates
- Kak A, Slaney M: Principles of Computerized Tomography"

Module Exam

Description of exams and course work

"module exam with the following components: - take-home mid-term exam (40%) - presentation of an up-to-date publication related to an imaging topic during the lecture (10%) - written exam (50%)"
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