This paper reviewed the deep learning‐based studies for medical imaging synthesis and its
clinical application. Specifically, we summarized the recent developments of deep learning …

Abstract Recently, deep learning (DL)‐based methods for the generation of synthetic
computed tomography (sCT) have received significant research attention as an alternative to …

Radiotherapy based on magnetic resonance imaging as the sole modality (MRI-only RT) is
an area of growing scientific interest due to the increasing use of MRI for both target and …

Magnetic resonance imaging (MRI) offers superior soft-tissue contrast as compared with
computed tomography (CT), which is conventionally used for radiation therapy treatment …

To enable magnetic resonance (MR)-only radiotherapy and facilitate modelling of radiation
attenuation in humans, synthetic CT (sCT) images need to be generated. Considering the …

Magnetic resonance (MR) imaging plays a highly important role in radiotherapy treatment
planning for the segmentation of tumor volumes and organs. However, the use of MR is …

Advances in multimodality imaging, providing accurate information of the irradiated target
volume and the adjacent critical structures or organs at risk (OAR), has made significant …

Purpose: Methods for deriving computed tomography (CT) equivalent information from MRI
are needed for attenuation correction in PET/MRI applications, as well as for patient …

Magnetic resonance imaging (MRI) has been widely used in combination with computed
tomography (CT) radiation therapy because MRI improves the accuracy and reliability of …

Radiation therapy to the prostate involves increasingly sophisticated delivery techniques
and changing fractionation schedules. With a low estimated α/β ratio, a larger dose per …