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Image Acquisition Methods

Winter Term 2022

Image Acquisition Methods

Image Acquisition Methods

Two Computer Science Teaching Awards
(Summer Term 2014 and Winter Term 2018/19)


Lecturer: Dr. Pascal Peter

Winter Term 2022

Lecture and Tutorial times:

Lectures: Thursday 10-12 c.t.
First Lecture: Thursday, November 3, 2022

Tutorials:
Slot 1: Tuesday 8:30-10 s.t.
Slot 2: Tuesday 10-12 c.t.

First Tutorial: Tuesday, November 15, 2022



AnnouncementsDescriptionEntrance requirementsTutorialsExams
Lecture notes/AssignmentsReferences



For detailed information at a glance, consult our welcome flyer.

11/11/2022 Registration is now closed.
20/10/2022 Registration is now open.
25/08/2022 Website is online. Registration and more details on lecture and tutorials time will be available closer to the start of the semester.


Motivation: The course is designed as a supplement for image processing lectures, to be attended before, after or parallel to them. In order to choose the right image processing methods for a given image, it is important to know what the image data represents and what specific properties it possesses.

Teaching Goals: Therefore, in this lecture, participants learn:

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

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.


Basic mathematics courses are recommended.
Basic knowledge in physics is helpful, but the lecture is designed to be self-sufficient in this regard.


Assignments are designed for group work. You are encouraged to connect with your fellow students and solve the problems together. The lecturer will be available to assist you and check your solutions. For all assignments, a written solution is also offered online.

If you have questions concerning the tutorials, please do not hesitate to contact Pascal Peter.


There will be two closed book written exams:

The first written exam will take place on Monday, February 13, 2023 from 2:00 to 4:00 pm in Building E2.2, Günter Hotz Lecture Theatre.
The second written exam will take place on Thursday, March 30, 2023 from 2:00 to 4:00 pm in Building E2.2, Günter Hotz Lecture Theatre.

You can find the detailed rules for our exams in the self test assignment in the Teams file repository.
You can participate in both exams, and the better grades counts. Please remember that you have to register online for the exam in the HISPOS system of the Saarland University.

If you cannot attend the exam, contact Pascal Peter as early as possible. In case you have proof that you cannot take part for medical reasons or you have another exam on the same day, we can offer you an oral exam as a replacement. Note that we need written proof (e.g. a certificate from a physician/Krankenschein) for the exact date of the exam.

Lecture notes / Assignments

Lecture content in form slides and assignments are available for download via Microsoft Teams. Access will be granted after registration. In addition, we will provide pre-recoreded lecture videos from previous semesters. Note that the initial registration requires manual confirmation and can thus be delayed a bit.

The assignments and the source code needed for the programming assignments will be provided here during the semester.


  • 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.



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