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Computer-Assisted Surgery

(in German: Computer-Assisted Surgery - )

Module-ID: FIN-INF-140003
Link: LSF
Responsibility: Christian Hansen
Lecturer: Christian Hansen
Classes:
  • Lecture Computer-Assisted Surgery
    Seminar Computer-Assisted Surgery
    Team project Computer-Assisted Surgery
 
Applicability in curriculum:

Abbreviation

CAS

Credit Points

5

Semester

Winter

Term

4.

Duration

1 Semester

Language

english

Level

Bachelor

Intended learning outcomes:
Students who complete this module ...

  • have an in-depth knowledge of modern surgical and interventional imaging technologies such as iMRI, iCT and IOUS, as well as medical image processing
  • understand methods such as surgical tracking, calibration and registration, which are essential for the development and application of surgical assistance systems
  • can design and develop surgical planning and navigation systems.
  • can write a state of the art report in the field of computer assisted surgery
  • can read, analyse and briefly summarise scientific papers in a scientific report.
Within this module students can choose between a seminar or a team project. If students choose to undertake a seminar, they ...
  • will be able to read, understand and present scientific publications in the field of computer-assisted surgery
  • will understand how to critically analyse scientific publications and improve their ability to present the results of others' research.
If students opt for a team project, they ...
  • will develop, test and evaluate a software tool in an interdisciplinary team
  • will learn how to deal with conflict in interdisciplinary teams.

Content:
This lecture provides an overview of computer-assisted surgery. After an introduction to the basics, the state of the art in computer-assisted surgery is presented using clinical examples. The following topics will be covered: - Fundamentals of intra-operative imaging

  • Fundamentals of surgical visualisation
  • Computer-assisted surgical planning
  • Surgical navigation systems
  • Surgical Augmented Reality
  • Surgeon-Computer Interaction
  • Robotic Surgery
  • Medical Software Development and Evaluation

Workload:
56h contact hours + 94h self study

Type of examination: Teaching method / lecture hours per week (SWS):

oral exam

  • Lecture (2 SWS)
  • Seminar (2 SWS) or team project (2 SWS)
Prerequisites according to examination regulations: Recommended prerequisites:

none

Media: Literature:


Comments:

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