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Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality
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MA: MR-CT Domain Translation of Spine Data

Advisor: Bjoern Menze
Supervision by: Anjany Sekuboyina

Abstract

The goal of this project is to synthesise MR images from CT scans of the spine and vive versa in an unpaired setting.

References

1. CycleGAN?: https://junyanz.github.io/CycleGAN/
2. DiamondGAN?: https://arxiv.org/abs/1904.12894
3. Spine MR-CT translation case-study: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218205/pdf/jkns-2019-0084.pdf
4. Contrastive Unpaired Translation: https://github.com/taesungp/contrastive-unpaired-translation

Requirements

  • Sound knowledge about deep learning, linear algebra, and probability theory.
  • Good programming skills in PyTorch?.

Contact

Anjany Sekuboyina
Hongwei Li (Bran)
Prof. Dr. med. Jan Stefan Kirschke
Bjoern Menze

ProjectForm
Title: MR-CT Domain Translation of Spine Data
Abstract: The goal of this project is to synthesise MR images from CT scans of the spine and vive versa in an unpaired setting.
Student:  
Director: Bjoern Menze
Supervisor: Anjany Sekuboyina
Type: DA/MA/BA
Area:  
Status: open
Start:  
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.1 - 20 Mar 2021 - 12:08 - AnjanySekuboyina