Mathematical Image Analysis Group, Saarland University

Introduction to Image Acquisition Methods

Winter Term 2007/08

Introduction to Image Acquisition Methods

Prof. Dr. Joachim Weickert
(Building E1.1, Room 3.11, Phone 0681-302-57340)

Winter Term 2007/08

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

Lectures: Wednesday 14–16 (2–4 pm), Bldg. E1.3, Lecture Hall 001
Course begins October 24, 2007.

Registration: You can register for this course. Registration will be open from Thu, Oct. 25, 2007, 13:30h until Mon, Nov. 5, 2007, 9:00h.

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

Announcements

Description

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.

Entrance requirements

Basic mathematics courses are recommended. Understanding English is necessary.

Contents

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.

Assessments / Exams

The first written exam will take place on Wednesday, February 27, 2008 from 2:00 to 4:00 pm in building E1.3, lecture halls 001 and 002.
The second exam will take place on Thursday, April 10, 2008 from 2:00 to 4:00 pm in building E1.3, lecture halls 001 and 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.

NEWS: The grades for the first written exam are now available!

The following thresholds were applied to determine the grades:

1.0 : 36 - 34 points
1.3 : 33 - 32
1.7 : 31 - 30
2.0 : 29 - 28
2.3 : 27 - 26
2.7 : 25 - 25
3.0 : 24 - 23
3.3 : 22 - 21
3.7 : 20 - 20
4.0 : 19 - 18
5.0 : 17 - 0

The detailed distribution of points was:

35 points : 1
33 points : 1
32 points : 2
31 points : 2
30 points : 1
29 points : 1
28 points : 3
27 points : 1
25 points : 2
24 points : 3
23 points : 1
22 points : 4
20 points : 1
19 points : 1
12 points : 1
11 points : 1
10 points : 1
8 points : 1
3 points : 1

The results can be queried via our online query form.

You can inspect your exam sheets on Friday, April 4, 15:15-17:00,
building E1.1, room 3.06 (3rd floor).

NEWS: The grades for the first written exam are now available!

The results can be queried via our online query form.

You can inspect your exam sheets on Thu, May 29, 14:00-15:00,
building E1.1, room 3.06 (3rd floor).

References

*: 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.

Download

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

No. Title Date

1 Introduction and Basic Concepts October 24

2 Basic Concepts II October 31

3 Electromagnetic Spectrum
Imaging by Visible Light I November 7

4 Imaging by Visible Light II November 14

5 Imaging by Visible Light III November 21

6 Imaging by Visible Light IV November 28

7 X-Ray and Gamma Ray Imaging in 2D December 5

8 Microwave and Radio Wave Imaging December 12

9 Computerised X-Ray Tomography I December 19

10 Computerised X-Ray Tomography II January 9

11 Magnetic Resonance Imaging 1 January 16

12 Magnetic Resonance Imaging 2 January 23

13 Electron Microscopy January 30

14 Acoustic Imaging February 6

15 Optical Coherence Tomography, Summary February 13

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