Module MA5030-KP04, MA5030

Duration

1 Semester

Turnus of offer

every second winter semester

Credit points

4

Course of studies, specific fields and terms:

• Master MES 2020, optional subject, mathematics / natural sciences
• Master Medical Informatics 2019, optional subject, medical image processing
• Master Medical Informatics 2014, optional subject, medical image processing
• Master MES 2014, optional subject, mathematics / natural sciences
• Master Computer Science 2012, optional subject, advanced curriculum imaging systems
• Master MES 2011, optional subject, mathematics
• Master MES 2011, advanced curriculum, imaging systems, signal and image processing
• Master CLS 2010, optional subject, mathematics
• Master Computer Science 2012, optional subject, advanced curriculum numerical image processing

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:

• Linear Algebra and Discrete Structures 2 (MA1500-KP08, MA1500)
• Analysis 2 (MA2500-KP04, MA2500)

Responsible for this module:

• Prof. Dr. rer. nat. Jan Modersitzki

Teacher:

• Institute of Mathematics and Image Computing
• Prof. Dr. Martin Leucker
• Prof. Dr. rer. nat. Jan Modersitzki

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:

Last Updated:

26.11.2019