DIR3CT: Deep Image Reconstruction through X-Ray Projection-based 3D Learning of Computed Tomography Volumes
Auf einen Blick
- Projektleiter/in : Dr. Stefan Scheib
- Stellv. Projektleiter/in : Dr. Frank-Peter Schilling
- Projektteam : Mohammadreza Amirian, Dr. Peter Eggenberger Hotz, Prof. Dr. Rudolf Marcel Füchslin, Dr. Lukas Lichtensteiger, Dr. Javier Montoya, Dr. Pascal Paysan, Dr. Igor Peterlik, Prof. Dr. Thilo Stadelmann
- Projektvolumen : CHF 1'128'000
- Projektstatus : laufend
- Drittmittelgeber : Innosuisse (Innovationsprojekt / Projekt Nr. 35244.1 IP-LS)
- Projektpartner : Varian Medical Systems (Baden-Dättwil)
- Kontaktperson : Thilo Stadelmann
Beschreibung
Project DIR3CT aims at improving the image quality of CBCT images by deep learning (DL) the 3D reconstruction from X-ray images end-to-end. This enables a novel CBCT product to be used during radiation therapy and will allow the use of these images for adaptive treatment.