Acquisition and Reconstruction
Description
The aim of this project is to produce a visualizer for Dicom files and to extract surfaces from medical datas (e.g. CT scans).
This course is aimed only for students from IIS. Students from IPCV and MMSI should refer to emile.barjou@u-bordeaux.fr.
Group organization
- Groups of 3 are drawn randomly and are changed for each assignment.
Assignments
- Assignment 1: First steps with Dicom
- Instructions
- Code skeleton
- Groups
- A possible solution
Due, September 30th, 6pm
- Assignment 2: 3D Viewer
- Instructions
- A possible solution for the evaluated part
- Groups
Due, October 14th, 6pm
- Assignment 3: Exporting a point cloud
- Instructions
- Groups
- Example of point cloud
- Point clouds based on Hounsfield ranges
Due, November 18th, 6pm
Handing-in assignments
- Install the python tool used for packing
pip3 install -U --user seauval
- Edit the list of files to include in your archive if required in
to_pack.txt
- Create the archive using
python3 -m seauval.manager pack --group X
- Check archive content:
tar -tzf GroupName.tar.gz
- Send or upload the archive
- Send to lhofer@labri.fr
- Make sure to use
(4TIS904U)
as prefix in the title. - Add all group members in CC.
Tools and links
- Programs will be written in c++
- Visualization will be achieved based on the OpenGL library.
- The GUI will be written using Qt 5.11.
- DCMTK
- Dicom files
- CQ500-CT-0
- CQ500-CT-1
- Extracted from a public dataset
- DICOM standard browser
Notes/advices to students
- You can use your own computer to work and choose your Operating System freely. However, you have to make sure that your program can be executed on the computers at CREMI.
- Send any question or mail related to this course including
(4TIS904U)
in the subject to: lhofer@labri.fr