

![]() |
Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI-guided radiation planning in the pelvic region |
|
Authors | ||
Published in | Medical Physics. 2018, vol. 45, no. 11, p. 5218-5224 | |
Abstract | Magnetic resonance imaging (MRI)-guided radiation therapy (RT) treatment planning is limited by the fact that the electron density distribution required for dose calculation is not readily provided by MR imaging. We compare a selection of novel synthetic CT generation algorithms recently reported in the literature, including segmentation-based, atlas-based and machine learning techniques, using the same cohort of patients and quantitative evaluation metrics. | |
Identifiers | DOI: 10.1002/mp.13187 PMID: 30216462 | |
Full text | ||
Structures | ||
Research group | Imagerie Médicale (TEP et TEMP) (542) | |
Project | Swiss National Science Foundation: 320030_176052 | |
Citation (ISO format) | ARABI, Hossein et al. Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI-guided radiation planning in the pelvic region. In: Medical Physics, 2018, vol. 45, n° 11, p. 5218-5224. doi: 10.1002/mp.13187 https://archive-ouverte.unige.ch/unige:110772 |