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 …

Tissue mimicking materials (TMMs), typically contained within phantoms, have been used
for many decades in both imaging and therapeutic applications. This review investigates the …

Purpose Interests have been rapidly growing in the field of radiotherapy to replace CT with
magnetic resonance imaging (MRI), due to superior soft tissue contrast offered by MRI and …

Purpose Automated synthetic computed tomography (sCT) generation based on magnetic
resonance imaging (MRI) images would allow for MRI‐only based treatment planning in …

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 …

Purpose While MR‐only treatment planning using synthetic CTs (synCTs) offers potential for
streamlining clinical workflow, a need exists for an efficient and automated synCT …

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

The use of magnetic resonance imaging (MRI) in radiotherapy (RT) planning is rapidly
expanding. We review the wide range of image contrast mechanisms available to MRI and …

Attenuation correction is an essential requirement for quantification of positron emission
tomography (PET) data. In PET/CT acquisition systems, attenuation maps are derived from …

Over the past decade, the application of magnetic resonance imaging (MRI) has increased,
and there is growing evidence to suggest that improvements in the accuracy of target …