Potential of Deep Learning in Quantitative Magnetic Resonance Imaging for Personalized Radiotherapy.
Where this comes from
- Record sourced from PubMed, PMID 36202440.
- Also identified by DOI 10.1016/j.semradonc.2022.06.007.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Quantitative magnetic resonance imaging (qMRI) has been shown to provide many potential advantages for personalized adaptive radiotherapy (RT). Deep learning models have proven to increase efficiency, robustness and speed for different qMRI tasks. Therefore, this article discusses the current state-of-the-art and potential future opportunities as well as challenges related to the use of deep learning in qMRI for target contouring, quantitative parameter estimation and also the generation of synthetic computerized tomography (CT) data based on MRI in personalized RT.
Medical subject headings
- Deep Learning