Introduction to Image Acquisition Methods

Winter Term 2006/07

Introduction to Image Acquisition Methods

Dr. Martin Welk (bld. E11, room 3.10.1, phone 0681-302-57343)

Winter 2006/07

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

Lectures: Mondays 11–13 (11 a.m.–1 p.m.), Bld. E13, Lecture hall 001
Course begins October 23, 2006.

AnnouncementsDescriptionEntrance requirementsContentsAssessments / ExamsReferencesDownload

  • Exam results have been sent to all participants of the written exam by personal mail. If you have not received this mail, please contact Martin Welk.
  • Inspection of written exam sheets is possible on Thursday, March 15, 2007, 1400–1500h (2–3 p.m.) in Martin Welk's office, or at other times on appointment.
  • Second chance exams for those who failed the first exam, or who did not take part in the first exam, will be held as oral exams, on individual appointment, preferably on April 12. Those who failed the first exam have already been communicated their scheduled exam time by e-mail. If you have not received an e-mail concerning your exam time, please contact Martin Welk immediately! Other registered course participants who have not taken the first exam, please contact Martin Welk till April 3 if you want to appoint a second chance exam.

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 written exam took place on Monday, February 26, 2007, 9–11; in Lecture Hall 001, Building E13.
Students registered for the course were automatically registered for the exam, unless signed out by e-mail till February 12, 2007, 9:00h (9 am).

Students who cannot take part in the written exam for substantial reasons, and those who have failed the written exam, will be offered oral exams, to be appointed individually.

*: 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 23
2 Basic Concepts (continued) October 30
3 Electromagnetic Spectrum
Imaging by Visible Light 1
November 6
4 Imaging by Visible Light 2 November 13
5 Imaging by Visible Light 3 November 20
6 Imaging by Visible Light 4 November 27
7 X-Ray and Gamma Ray Imaging in 2D December 4
8 Microwave and Radio Wave Imaging December 11
9 Computerised X-Ray Tomography 1 December 18
10 Computerised X-Ray Tomography 2 January 8
11 Magnetic Resonance Imaging 1 January 15
12 Magnetic Resonance Imaging 2 January 22
13 Electron Microscopy January 29
14 Acoustic Imaging February 5
15 Optical Coherence Tomography
February 12
  Test Questions for Exam Preparation  
  Answers to the Test Questions  

Martin Welk / August 17, 2006–March 26, 2007

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