Introduction to Image Acquisition Methods

Winter Term 2008/09


Introduction to Image Acquisition Methods

Lecturer: Dr. Andrés Bruhn
Office hours: Friday, 14:15 - 15:15.

Winter Term 2008/09


Lectures (2h) – no exercises
4 credit points (computer science; visual computing)
3 credit points (mathematics)

Lectures: Wednesday 14-16 c.t., Building E1.3, Lecture Hall 1

First lecture: Wednesday, October 22, 2008.


AnnouncementsDescriptionEntrance requirementsContentsAssessments / ExamsReferencesDownload



The course is designed as a supplement for image processing lectures, to be attended before, after or parallel to them.

Participants shall understand

  • what are digital images
  • how they are acquired
  • what they encode and what they mean
  • which limitations are introduced by the image acquisition.

This knowledge will be helpful in selecting adequate methods for processing image data arising from different methods.


Basic mathematics courses are recommended. Understanding English is necessary.


A broad variety of image acquisition methods is described, including imaging by virtually all sorts of electromagnetic waves, acoustic imaging, magnetic resonance imaging and more. While medical imaging methods play an important role, the overview is not limited to them.

Starting from physical foundations, description of each image acquisition method extends via aspects of technical realisation to mathematical modelling and representation of the data.


The first written exam will take place on Wednesday, February 11, 2009 from 2:00 to 4:00 pm in building E1.3, lecture halls 001.
The second exam will take place on Wednesday, April 15, 2009 from 2:00 to 4:00 pm in building E1.3, lecture hall 001.
These are closed book exams. If you have been registered for this class, you may participate in both exams, and the better grades counts.


The grades for the second written exam are now available!

The following thresholds were applied to determine the grades:

  • 1.0 : 30 - 28 points
  • 1.3 : 27 - 27
  • 1.7 : 26 - 25
  • 2.0 : 24 - 24
  • 2.3 : 23 - 22
  • 2.7 : 21 - 21
  • 3.0 : 20 - 19
  • 3.3 : 18 - 18
  • 3.7 : 17 - 17
  • 4.0 : 16 - 15
  • 5.0 : 14 - 0

The detailed distribution of points was:

  • 27 points : 1
  • 25 points : 1
  • 24 points : 1
  • 23 points : 1
  • 22 points : 1
  • 20 points : 1
  • 18 points : 1
  • 16 points : 1

The results can be queried via our online query form.


You could inspect your exam sheets on Friday, April 17, 11:00-12:00, building E1.1, room 3.06 (3rd floor).

NEWS: The cerfificates (Scheine) are issued by the office of the Mathematics Department. They can be obtained from Mrs. Voss, Building E2.4, Room 111 (math building, ground floor, 8.15-11.30 AM).


*: available in semester apparatus

The semester apparatus for this lecture is located in the Computer Science/Applied Mathematics Library, building E13.

  • B. Jähne, H. Haußecker, P. Geißler, editors, Handbook of Computer Vision and its Applications. Volume 1: Sensors and Imaging. Academic Press, San Diego 1999.
  • S. Webb, The Physics of Medical Imaging. Institute of Physics Publishing, Bristol 1988.*
  • C. L. Epstein, Introduction to the Mathematics of Medical Imaging. Pearson, Upper Saddle River 2003.*
  • R. Blahut, Theory of Remote Image Formation. Cambridge University Press, 2005.*
  • A. C. Kak, M. Slaney, Principles of Computerized Tomographic Imaging. SIAM, Philadelphia 2001.
  • Articles from journals and conferences.

Further references will be given during the lecture.


Participants of the course can download the lecture materials here (access password-protected):

No. Title Date
1 Introduction and Basic Concepts October 22
2 Basic Concepts II October 31
3 Electromagnetic Spectrum
Imaging by Visible Light I
November 5
4 Imaging by Visible Light II November 12
5 Imaging by Visible Light III November 19
6 Imaging by Visible Light IV November 26
7 X-Ray and Gamma Ray Imaging in 2D December 3
8 Microwave and Radio Wave Imaging December 10
9 Computerised X-Ray Tomography I December 17
10 Computerised X-Ray Tomography II January 7
11 Magnetic Resonance Imaging 1 January 14
12 Magnetic Resonance Imaging 2 January 21
13 Electron Microscopy January 28
14 Acoustic Imaging, Summary February 4

Here are some self-test problems as recommended preparation for the written exams.



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