AC3T – AI powered CBCT for improved Combination Cancer Therapy
Auf einen Blick
- Projektleiter/in : Dr. Frank-Peter Schilling
- Stellv. Projektleiter/in : Dr. Lukas Lichtensteiger
- Projektteam : Mohammadreza Amirian, Daniel Barco, Prof. Dr. Rudolf Marcel Füchslin, Prof. Dr. Thilo Stadelmann
- Projektvolumen : CHF 1'473'000
- Projektstatus : laufend
- Drittmittelgeber : Innosuisse (Innovationsprojekt / Projekt Nr. 56768.1 IP-LS)
- Projektpartner : Varian Medical Systems Imaging Laboratory GmbH
- Kontaktperson : Frank-Peter Schilling
Beschreibung
The project enables a novel, combined, adaptive cancer therapy combining tumor treating field and radiation therapy due to significantly improved static (3D) and time-resolved (4D) low dose Cone Beam Computer Tomography images based on artificial intelligence image reconstruction algorithms.
Publikationen
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Amirian, Mohammadreza; Barco, Daniel; Herzig, Ivo; Schilling, Frank-Peter,
2024.
Artifact reduction in 3D and 4D cone-beam computed tomography images with deep learning - a review.
IEEE Access.
Verfügbar unter: https://doi.org/10.1109/ACCESS.2024.3353195