Medical Nutrition Science

Module Guide from winter term 2019/20

Modul MA5030-KP04, MA5030

Image Registration (Bildregist)

Duration:

1 Semester

Turnus of offer:

every second winter semester

Credit points:

Course of studies, specific field and terms:

Master MES 2020 (optional subject), mathematics / natural sciences, Arbitrary semester
Master Medical Informatics 2019 (optional subject), medical image processing, 1st or 2nd semester
Master Medical Informatics 2014 (optional subject), medical image processing, 1st or 2nd semester
Master MES 2014 (optional subject), mathematics / natural sciences, 1st semester
Master Computer Science 2012 (optional subject), advanced curriculum imaging systems, 2nd or 3rd semester
Master MES 2011 (optional subject), mathematics, 1st or 3rd semester
Master MES 2011 (advanced curriculum), imaging systems, signal and image processing, 1st or 3rd semester
Master CLS 2010 (optional subject), mathematics, 1st or 3rd semester
Master Computer Science 2012 (optional subject), advanced curriculum numerical image processing, 2nd or 3rd semester

Classes and lectures:

Image Registration (exercise, 1 SWS)
Image Registration (lecture, 2 SWS)

Workload:

10 Hours exam preparation
45 Hours in-classroom work
65 Hours private studies and exercises

Contents of teaching:
Introduction and basic principles Interpolation Deformation models Landmark-based registration Parametric registration Non-parametric registration and regularization strategies

Qualification-goals/Competencies:

Students know the fundamental concepts in image registration.
They are able to translate concrete problems into suitable models.
They have experience with parametric and non-parametric registration problems.
Interdisciplinary qualifications:
Students have advanced skills in modeling.
They can translate theoretical concepts into practical solutions.
They are experienced in implementation.
They can think abstractly about practical problems.

Grading through:

Written or oral exam as announced by the examiner

Requires:

Responsible for this module:

Prof. Dr. rer. nat. Jan Modersitzki

Teachers:

Institute of Mathematics and Image Computing

Literature:

Goshtasby: 2D and 3D Image Registration - Wiley 2005
Modersitzki: Numerical Methods for Image Registration - Oxford University Press 2004
Modersitzki: FAIR: Flexible Algorithms for Image Registration - SIAM 2009
Rohr: Landmark-Based Image Analysis - Kluwer 2001

Language:

German and English skills required

Notes:

Prerequisites for attending the module:
- None (The competences of the required modules are required for this module, but the modules are not a prerequisite for admission).

Prerequisites for the exam:
- Preliminary examinations can be determined at the beginning of the semester. If preliminary work has been defined, it must have been completed and positively assessed before the initial examination.

Letzte Änderung:

26.11.2019