Module CS4330-KP08, CS4330SJ14

Duration

1 Semester

Turnus of offer

not available anymore

Credit points

8

Course of studies, specific fields and terms:

• Master Medical Informatics 2014, compulsory, medical computer science

Classes and lectures:

• Image Analysis and Visualization Systems in Diagnostics and Therapy (seminar, 2 SWS)
• Image Analysis and Visualization Systems in Diagnostics and Therapy (lecture, 2 SWS)
• Image Analysis and Visualization Systems in Diagnostics and Therapy (exercise, 1 SWS)

Workload:

• 40 hours written report
• 15 hours oral presentation (including preparation)
• 20 hours exam preparation
• 90 hours private studies and exercises
• 75 hours in-classroom work

Contents of teaching:

• Methods and algorithms for the analysis and visualization of medical images including current research activities in the field of medical image computing. The following methods and algorithms are explained:
• Data driven segmentation of multispectral image data
• Random Decision Forests for the segmentation of medical image data
• Convolutional Neural Networks and Deep Learning in Medical Image Processing
• Live wire segmentation
• Segmentation with active contour models and deformable models
• Level set segmentation
• Statistical shape models
• Image registration
• Atlas-based segmentation and multi atlas segmentation using non-linear registration
• Visualization techniques in medicine
• Direct volume rendering
• Indirect volume rendering, ray tracing, ray casting
• Haptic 3D interactions in virtual bodies
• Virtual reality techniques in medical applications

Qualification-goals/Competencies:

• Increase knowledge in the field of medical image processing and visualization
• Understanding of Segmentation methods and the used models
• Understanding of the underlying algorithms
• Ability to select appropriate methods for a given problem
• Implementation of the methods
• Application to practical problems
• Overview of medical image processing techniques with many examples
• Capability to communicate and process medical image data
• Knowledge about current scientific approaches in medical image processing and visualisation

Grading through:

• Marked presentation with written report
• written exam

Requires:

• Medical Image Computing (CS3310-KP08, CS3310SJ14)

Responsible for this module:

• Prof. Dr. rer. nat. habil. Heinz Handels

Teacher:

• Institute of Medical Informatics
• Prof. Dr. rer. nat. habil. Heinz Handels

Literature:

• H. Handels : Medizinische Bildverarbeitung 2. Auflage, Vieweg u. Teubner 2009
• T. Lehmann : Handbuch der Medizinischen Informatik München: Hanser 2005
• M. Sonka, V. Hlavac, R. Boyle : Image Processing, Analysis and Machine 2nd edition. Pacific Grove: PWS Publishing 1998
• B. Preim, D. Bartz : Visualization in Medicine Elsevier, 2007

Language:

• offered only in German

Notes:

Last Updated:

08.06.2020