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:	- M.Sc. INF: Informatik - M.Sc. INGINF: Informatik - M.Sc. WIF: Informatik - M.Sc. VC: Visual Computing

Abbreviation CAS

Credit Points 6

Semester Winter

Term ab 1.

Duration 1 Semester

Language english

Level Master

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:
56 h contact hours + 124 h self study

Pre-examination requirements:	Type of examination:	Teaching method / lecture hours per week (SWS):
	Oral exam	Lecture (2SWS) Seminar (2SWS) or team project (2SWS)

Prerequisites according to examination regulations:	Recommended prerequisites:
keine

Media:	Literature:

Comments: