Details

VU, 186.105, 2021W

Renata Raidou

This course page describes the lecture of Wintersemester 2021/2022. See list of other semesters.

Updates

September 10, 2021 – Lecture dates and course program added. The TUWEL page will be up soon. 

Course Structure

The course consists of the following three components:

  • Lectures: 6 regular sets of 2 hours + 1 set of invited lectures of 3 hours
  • Small assignments: 5 sets
  • Final project

Assessment

The course will be assessed on a 0–100 scale, as follows:

  • Small assignments: in total 5 (done individually) = 25 points
  • Final project: in groups of 2 people = 40 points (implementation, presentation, 2–3 page summary—no official report)
  • Exam: 35 points

You need at least 50% of each one of the three components above to pass the course!

Schedule and Material

  • The course will be structured based on the book of B. Preim and C.P. Botha "Visual Computing for Medicine" (2nd ed.) (http://medvisbook.com/)
  • The zoom links for the lectures will be provided in TUWEL.
  • Slides/recordings from the lectures will be published in TUWEL.
  • The assignments can be accessed in TUWEL.
  • The exact schedule for the invited lectures and the project presentation day will be uploaded later.
Lectures Assignments

1. Introduction & Basics / Acquisition
Chapter 1–3 in Preim’s book
Monday 04.10.2021, 10:00–12:00

 

2. DICOM & Preprocessing
Chapter 2.3, 4.1–4.2 in Preim’s book
Monday 11.10.2021, 10:00–12:00

Assignment 1 
(Acquisition and Preprocessing)
11.10.2021–19.10.2021

3. Segmentation & Registration
Chapter 4.1–4.4 in Preim’s book
Monday 18.10.2021, 10:00–12:00

Assignment 2 
(Segmentation)
18.10.2021–26.10.2021

4. Surface Rendering—Marching Cubes
Chapter 6 in Preim’s book
Monday 25.10.2021, 10:00–12:00

Assignment 3 
(Surface Rendering)
25.10.2021–09.11.2021

5. Volume Rendering DVR & TFs
Chapter 7,9 in Preim’s book
Monday 08.11.2021, 10:00–12:00

Assignment 4 
(Volume Rendering)
08.11.2021–23.11.2021 (2 weeks)

6. Advanced Volume Rendering & Evaluation
Chapter 8,5 in Preim’s book
*** Tuesday 16.11.2021, 9.00-11.00 ***

Assignment 5 
(TFs)
16.11.2021–23.11.2021

7. Project Get-Together
Monday 22.11.2021, 10:00–11:00

 

8. Invited Lectures
Monday 29.11.2021, 09:00–12:00

9.00-9.30: Katarina Furmanova (Masaryk University): Predictive Visual Analytics of Anatomical Variability for Radiotherapy

9.30-10.00: Aleksandr Amirkhanov (TU Wien and CoolIT): Visual Analytics in Dental Aesthetics

10.00-11.00: Barbora Kozlikova (Masaryk University): Visualization of Molecular Structures

11.00-12.00: Tom Torsney and Maria Wimmer (VRVis Research Center): Visualization and analysis of multimodal medical imaging data in practice

 

Final Project Presentations
Monday 17.01.2022, 09:00–12:00
 

 

Exam
Monday, 24.01.2022, 10:00-12:00

 

Assignments

  • The assignments will be published on TUWEL every week before the lecture. 
  • You will have one-two weeks to submit your results (also on TUWEL).  
  • The assignments make up 25 points. You need at least half of the points to pass the course. 

Final Projects

  • The final project will be to implement a visualization application, which solves a simple medical or biological problem.
  • You will work on your project during the period 22.11.2021–14.01.2022.
  • You will be required to hand in the implemented visualization and a 2–3 page summary of your work.
  • The outcome will be presented during a dedicated session at the end of the course on 17.01.2022.
  • The project makes up 40 points. You need at least half of the points to pass the course. 
  • More information about the final projects will be uploaded later and there will be a dedicated session to discuss potential topics (see Lecture 7 in the table above).

Exams

  • The plan is to hold a written exam on the 24th of January (location tbd soon). However, should there be any COVID-related implications, we will have to resort to oral exams.
  • The exam makes up 35 points. As with all other sub-parts of this course, you need at least half of the points to pass the course. 
  • The students will have to answer questions based on lectures 1-6,8.