Eduard Gröller, Aleksandr Amirkhanov, Nicolas Grossmann, Jakob Troidl
December 15, 2020 - Added oral exam dates and information.
September 29, 2020 - For the lectures, zoom links are added.
September 28, 2020 - The lecture dates are final. The first lecture will be through Zoom. Zoom links of scheduled lectures will be added soon.
September 18, 2020 - Lecture dates and time slots are added.
The course consists of the following components:
The course will be assessed as follows:
You need a passing grade (50%) for each one of the three components above!
Lectures | Practicals |
1. Introduction & Basics / Acquisition |
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2. DICOM & Preprocessing |
Practical 0 (Acquisition and Preprocessing) |
3. Segmentation & Registration |
Practical 1 (Segmentation) 9.11.2020–16.11.2020 |
4. Surface Rendering—Marching Cubes |
Practical 2 (Surface Rendering) 16.11.2020–23.11.2020 |
5. Project Get-Together |
Practical 3 (Web-Based MedVis) 23.11.2020–30.11.2020 |
6. Volume Rendering DVR & TFs |
Practical 4 (DVR) 30.11.2020–7.12.2020 |
7. Advanced Volume Rendering & Evaluation |
Practical 5 (TFs) |
8. Invited Lectures Speaker 1: Denis Declara (Brainlab) Zoom: https://tuwien.zoom.us/j/95848620028?pwd=c1pjSTNOOWpteW8xWVptRlIxMWJUZz09 |
|
Final Project Presentations |
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Oral Exams Tuesday, 19.1.2021, 13:00-15:00 |
The final project will be to implement a visualization application, which solves a simple medical or biological problem. You will be required to hand in the implemented visualization and a 1–2 page summary of your work. The outcome will be presented during a dedicated session at the end of the course. More information about the final projects will be uploaded later.
This year we will be holding online oral exams at the end of January (see dates above). Please register using TUWEL. The exam will take 15 minutes and makes up 35% of your final grade. As with all other sub-parts of this course, you need at least 50% on the exam to pass the course. Each student will have to answer two questions, based on lectures 1-8 (including the invited talks).
TU Wien
Institute of Visual Computing & Human-Centered Technology
Favoritenstr. 9-11 / E193-02
A-1040 Vienna
Austria - Europe