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Root number
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399082 |
Semester
|
FS2024 |
Type of course
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Lecture |
Allocation to subject
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Biomedical Engineering |
Type of exam
|
not defined |
Title |
Computer-Assisted Surgery |
Description |
Course type: lecture/tutorials
Module: Mandatory Courses / Major Module "Image-Guided Therapy"
Selection criteria: 1. Students with MM "Image-Guided Therapy". 2. Other BME students. 3. GCB students. 4. Other students.
For questions on course and exam registration contact bme.artorg@unibe.ch.
A laptop is required for this course.
Distribution of course materials
- Course materials are regularly posted on Ilias (www.ilias.unibe.ch)
- Assignment corrections and supplementary material may be distributed in lectures.
Recommended Courses/Skills:Fundamental knowledge of linear algebra, vector calculus, transformational geometry and basic programming (Python) skills are recommended.
Textbook(s) and other reading material: no mandatory textbooks
Recommended support materials include:
- Image-guided interventions, Peters and Cleary, Springer; (highly recommended)
- Computational Radiology for Orthopaedic Interventions, Zheng and Li, Springer
- Navigation and MIS; Stiehl, Konermann, Haaker, DiGioia; Springer;
- Intraoperative imaging and image-guided surgery, Jolesz; Springer
- Navigation and Robotics in Total Joint and Spine Surgery; Stiehl, Konermann, Haaker; Springer;
- Computer and Robotic Assisted Knee and Hip Surgery; DiGioia Jaramaz, Picard, Nolte;
- Statistical Shape and Deformation Analysis: Methods, Implementation and Applications, Zheng, Li and Székely, Academic Press;
- Multiple View Geometry in Computer Vision; Hartley, Zissermann; Cambridge University Press;
- Computer Graphics - Principles And Practice; Foley, van Dam, Feiner, Hughes; Addison Wesley
- Fundamentals of Medical Imaging; Suetens; Cambridge University Press;
- Handbook of Medical Imaging; Bankman; Academic Press
Course policies and classroom rules of conduct:
- Academic dishonesty, plagiarism, and any other kind of fraud will lead to the exclusion from the course.
Course description:
Computer assisted surgery applies computer technology and sets of concepts to improve surgical applications through intervention planning, intervention guidance and intervention outcome evaluation. This course introduces the concepts and methodologies of computer assisted surgery in general and emphasizes their clinical application. The course provides a comprehensive overview of the principal techniques for computer assisted surgery including transformational geometry, anatomy segmentation, surgical planning, patient to image registration, instrument calibration and tracking, optical navigation, artificial intelligence, and augmented reality, as well as how these theories and techniques can be applied to various clinical problems. The history, analytics and technical application of computer assisted surgery are studied in order to present a complete overview of this topic and to demonstrate the potential and the limitations of different techniques. Application of computer assisted surgical techniques to the fields of orthopaedics, neurosurgery, visceral surgery and otolaryngology-head and neck surgery are studied with the aim of arming students with the skills and knowledge to solve current clinical and scientific challenges including those pertaining to accuracy, usability and clinical benefit. |
ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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Further information for this course
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Lecturers |
PD Dr.
Kate Gerber, School of Biomedical and Precision Engineering (SBPE) ✉
|
|
Dr.
Nicolas Gerber, School of Biomedical and Precision Engineering (SBPE) ✉
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|
Hanspeter Hess, School of Biomedical and Precision Engineering (SBPE) ✉
|
ECTS
|
3 |
Recognition as optional course possible
|
Yes |
Grading
|
1 to 6 |
|
Dates |
Wednesday 08:15-10:00 Weekly
|
|
Wednesday 12/6/2024 09:00-18:00
|
|
Rooms |
Hörsaal 102, Hörsaalgebäude vonRoll
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External rooms |
Cascination AG, Steigerhubelstrasse 3, 3008 Bern
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Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |