Introduction to Biological Imaging
Module ME562
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 SS 2012
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 2012/3 | SS 2012 |
Basic Information
ME562 is a semester module in English language at Master’s level which is offered irregularly.
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 workload | Contact hours | Credits (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
- 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)
(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
| Type | SWS | Title | Lecturer(s) | Dates | Links |
|---|---|---|---|---|---|
| VO | 2 | Introduction to Biological Imaging | Karampinos, D. Ntziachristos, V. |
Mon, 16:30–18:00 Wed, 16:30–18:00 |
eLearning documents |
| UE | 1 | Exercises for Introduction to Biological Imaging | Ntziachristos, V. |
Mon, 18:00–19:30 Wed, 18:00–19:30 Wed, 18:00–19:30 |
eLearning |
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)
- ""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
- 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
The exam consists of a 90 minutes exam ( to be taken without auxiliary tools). The exam will recapitulate the contents of the lecture and further requires the students to make a translation of the acquired knowledge to their own filed of study. The answers need to be given in own words as well as by ticking given multiple choice questions.