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Introduction to Image Acquisition Methods

Winter Term 2009 / 2010


Introduction to Image Acquisition Methods

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

Winter Term 2009 / 2010


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

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

First lecture: Tuesday, October 13, 2009.


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 Thursday, February 18, 2010 from 2:00 to 4:00 pm in building E1.3, lecture hall 002.
The second exam will take place on Tuesday, March 30, 2010 from 2:00 to 4:00 pm in building E1.3, lecture hall 002.
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 - 16
  • 4.0 : 15 - 14
  • 5.0 : 13 - 0

The detailed distribution of points was:

  • 24 points : 1
  • 23 points : 1
  • 22 points : 1
  • 20 points : 2
  • 18 points : 2
  • 17 points : 4
  • 16 points : 2
  • 14 points : 3
  • 11 points : 2
  • 03 points : 1

The results can be queried via our online query form.


You can inspect your exam sheets on Friday, April 9, 14:00-15:00, 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 Ms. 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 13
2 Basic Concepts II October 20
3 Electromagnetic Spectrum
Imaging by Visible Light I
October 27
4 Imaging by Visible Light II November 3
5 Imaging by Visible Light III November 10
6 Imaging by Visible Light IV November 17
7 X-Ray and Gamma Ray Imaging in 2D November 24
8 Microwave and Radio Wave Imaging December 1
9 Computerised X-Ray Tomography I December 8
10 Computerised X-Ray Tomography II December 15
11 Magnetic Resonance Imaging 1 January 5
12 Magnetic Resonance Imaging 2 January 12
13 Electron Microscopy January 19
14 Acoustic Imaging January 26
15 Optical Coherence Tomography, Summary February 2
  Test Questions for Exam Preparation  


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