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Image Acquisition Methods

Winter Term 2010 / 2011

Image Acquisition Methods

Lecturer: Oliver Vogel, Prof. Joachim Weickert


Winter Term 2010 / 2011

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

Lectures: Wednesday 16-18 c.t., Building E1.1, Room 3.06

First lecture: Wednesday, October 20th, 2010

Registration was open from Wed, Oct. 20, 2010, 18:00h until Wed, Nov. 03, 2010, 18:00h.

Announcements – Description – Entrance requirements – Contents – Assessments / Exams – References – Download

Exams: The results for the second exam are now online.

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 9, 2010 from 4:00 to 6:00 pm in building E1.3, lecture hall 003.
The second exam will take place on Monday, April 4, 2010 from 2:00 to 4:00 pm in building E1.3, lecture hall 003.
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 both written exams are now available!

The following thresholds were applied to determine the grades:

• 1.0 : 32 - 31 points
• 1.3 : 30 - 29
• 1.7 : 28 - 27
• 2.0 : 26 - 25
• 2.3 : 24 - 24
• 2.7 : 23 - 22
• 3.0 : 21 - 20
• 3.3 : 19 - 19
• 3.7 : 18 - 17
• 4.0 : 16 - 15
• 5.0 : 14 - 0

The results of the first exam can be queried via our online query form.

The results of the second exam can be queried via our online query form.


If you wish to inspect your exam send an email to Oliver Vogel to make an appointment.

• 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 20
2	Basic Concepts II	October 27
3	Electromagnetic Spectrum Imaging by Visible Light I	November 3
4	Imaging by Visible Light II	November 10
5	Imaging by Visible Light III	November 17
6	Imaging by Visible Light IV	November 24
7	X-Ray and Gamma Ray Imaging in 2D	December 1
8	Microwave and Radio Wave Imaging	December 8
9	Computerised X-Ray Tomography I	December 15
10	Computerised X-Ray Tomography II	January 5
11	Magnetic Resonance Imaging 1	January 12
12	Magnetic Resonance Imaging 2	January 19
13	Acoustic Imaging	January 26
14	Electron Microscopy	February 2
	Test Questions for Exam Preparation

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