Throughout the course of delivering a radiation therapy treatment, which may take several
weeks, a patient's anatomy may change drastically, and adaptive radiation therapy (ART) …

Objective To develop high-quality synthetic CT (sCT) generation method from low-dose
cone-beam CT (CBCT) images by using attention-guided generative adversarial networks …

Purpose To propose a synthesis method of pseudo-CT (CTCycleGAN) images based on an
improved 3D cycle generative adversarial network (CycleGAN) to solve the limitations of …

Purpose Image-guided radiation therapy could benefit from implementing adaptive radiation
therapy (ART) techniques. A cycle-generative adversarial network (cycle-GAN)-based cone …

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

Background and purpose Adaptive radiotherapy based on cone-beam computed
tomography (CBCT) requires high CT number accuracy to ensure accurate dose …

Purpose The incorporation of cone‐beam computed tomography (CBCT) has allowed for
enhanced image‐guided radiation therapy. While CBCT allows for daily 3D imaging, images …

Abstract Adaptive-radiation-therapy (ART) is applied to account for anatomical variations
observed over the treatment course. Daily or weekly cone-beam computed tomography …

Computed tomography (CT) is critical for various clinical applications, eg, radiation treatment
planning and also PET attenuation correction in MRI/PET scanner. However, CT exposes …

Purpose MR‐to‐CT synthesis is one of the first steps in the establishment of an MRI‐only
workflow in radiotherapy. Current MR‐to‐CT synthesis methods in deep learning use …