Deep learning-based 4D-synthetic CTs from sparse-view CBCTs for dose calculations in adaptive proton therapy.
Adrian ThummererCarmen Seller OriaPaolo ZaffinoSabine VisserArturs MeijersGabriel Guterres MarmittRobin WijsmanJoao SecoJohannes Albertus LangendijkAntje Christin KnopfMaria Francesca SpadeaStefan BothPublished in: Medical physics (2022)
In this study, we have investigated the accuracy of deep learning-based 4D-sCTs for daily dose calculations in adaptive proton therapy. Despite image quality differences between 4D-sCTs and 3D-sCTs, comparable dosimetric accuracy was observed globally and locally. Further improvement of 3D and 4D lung sCTs could be achieved by increasing CT number accuracy in lung tissues.
Keyphrases
- image quality
- deep learning
- computed tomography
- dual energy
- density functional theory
- molecular dynamics
- molecular dynamics simulations
- artificial intelligence
- monte carlo
- convolutional neural network
- radiation therapy
- gene expression
- machine learning
- physical activity
- atomic force microscopy
- magnetic resonance imaging
- neural network
- pet ct