Augmented Reality

Studiengang
  • Master's program Medical Technologies
Kennzahl der Lehrveranstaltung
  • MSE-M-3-ILV-IM1
Niveau der Lehrveranstaltung laut Lehrplan
  • Master
Semester in dem die Lehrveranstaltung angeboten wird
  • 3
Anzahl der zugewiesenen ECTS-Credits
  • 5.0
Name des/der Vortragenden
  • Kim Kiyoung, Ph.D.
Lernergebnisse der Lehrveranstaltung
  • Students
    • Understand scientific principles of the major medical imaging modalities
    • Extend the knowledge and skills required for a career in an im-age-related field in clinical practice, clinical research, scientific research or technical development.
    • Know about applied big data in health care
    • Know methods for pattern recognition and classification
    • Are able to apply these methods on medical images using MATLAB
    • Know the basics of unsupervised machine learning for medical images
    • Know tools for therapy planning using medical images
Art der Veranstaltung
  • face-to-face
Voraussetzungen laut Lehrplan
  • none
Lehrinhalte
  • - Introduction to Virtual Reality(VR) and Augmented Reality (AR)
    - VR/AR application in medical engineering (e.g. for training, planning or therapy)
    - Multi-modal interactions in surgical training, intra-operative augmentation, and rehabilitation
    - Surgical training and simulation
    - Mesh generation, processing
    - Phantom-based trainers
empfohlene Fachliteratur
  • - B. Craig, W. R. Sherman, and J. D. Will, Developing virtual reality applications: Foundations of effective design. Amsterdam: Mor-gan Kaufmmann, 2009.
    - K. Engel, Real-time volume graphics. Wellesley: CRC Press, 2006.
    - M. C. Lin, Haptic Rendering: Foundations, Algorithms, and Appli-cations. Hoboken: CRC Press, 2008.
    - R. Riener and M. Harders, Virtual Reality in Medicine. London: Springer, 2012.
    - D. Schmalstieg and T. Hollerer, Augmented reality: Principles and practice. Boston: Addison-Wesley, 2016.
    - P. Suetens, Fundamentals of medical imaging, 3rd ed. Cambridge: Cambridge University Press, 2017.
Lehr- und Lernformen
  • The course comprises an interactive mix of lectures, discussions and individual and group work.
Prüfungsmethode
  • To monitor the students’ learning this course will provide ongoing assignments as a basis for feedback and grading (formative assessment) and/or will evaluate the students learning at the end of the course or an instructional unit via exams, final project reports, essays or seminar papers (summative assessment).
Unterrichtssprache
  • English