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
International audienceAs new radiotherapy treatment systems using MRI (rather than traditional CT) a...
Magnetic resonance imaging (MRI)-guided attenuation correction (AC) of positron emission tomography ...
Objective: Machine learning (ML) based radiation treatment (RT) planning addresses the iterative and...
Purpose Methods Magnetic resonance imaging (MRI)-guided radiation therapy (RT) treatment planning is...
Purpose Methods Magnetic resonance imaging (MRI)-guided radiation therapy (RT) treatment planning is...
There is increasing interest in MR-only radiotherapy planning since it provides superb soft-tissue c...
International audiencePURPOSE: In radiotherapy, MRI is used for target volume and organs-at-risk del...
Magnetic resonance imaging (MRI) offers superior soft-tissue contrast as compared with computed tomo...
International audienceElectron density information, usually obtained from computed tomography (CT) H...
To enable magnetic resonance (MR)-only radiotherapy and facilitate modelling of radiation attenuatio...
International audienceDose calculation from MRI is a topical issue. New treatment systems combining ...
Dose planning for Gamma Knife radiosurgery (GKRS) uses the magnetic resonance (MR)-based tissue maxi...
We aimed to evaluate and compare the qualities of synthetic computed tomography (sCT) generated by v...
Background: Since the last decades, research have been oriented towards an MRI-alone radiation treat...
Purpose: MR-guided radiotherapy (MRgRT) relies on the daily assignment of a relative electron densit...
International audienceAs new radiotherapy treatment systems using MRI (rather than traditional CT) a...
Magnetic resonance imaging (MRI)-guided attenuation correction (AC) of positron emission tomography ...
Objective: Machine learning (ML) based radiation treatment (RT) planning addresses the iterative and...
Purpose Methods Magnetic resonance imaging (MRI)-guided radiation therapy (RT) treatment planning is...
Purpose Methods Magnetic resonance imaging (MRI)-guided radiation therapy (RT) treatment planning is...
There is increasing interest in MR-only radiotherapy planning since it provides superb soft-tissue c...
International audiencePURPOSE: In radiotherapy, MRI is used for target volume and organs-at-risk del...
Magnetic resonance imaging (MRI) offers superior soft-tissue contrast as compared with computed tomo...
International audienceElectron density information, usually obtained from computed tomography (CT) H...
To enable magnetic resonance (MR)-only radiotherapy and facilitate modelling of radiation attenuatio...
International audienceDose calculation from MRI is a topical issue. New treatment systems combining ...
Dose planning for Gamma Knife radiosurgery (GKRS) uses the magnetic resonance (MR)-based tissue maxi...
We aimed to evaluate and compare the qualities of synthetic computed tomography (sCT) generated by v...
Background: Since the last decades, research have been oriented towards an MRI-alone radiation treat...
Purpose: MR-guided radiotherapy (MRgRT) relies on the daily assignment of a relative electron densit...
International audienceAs new radiotherapy treatment systems using MRI (rather than traditional CT) a...
Magnetic resonance imaging (MRI)-guided attenuation correction (AC) of positron emission tomography ...
Objective: Machine learning (ML) based radiation treatment (RT) planning addresses the iterative and...