Background Cine magnetic resonance (MR) images have been used for real‐time MR
guided radiation therapy (MRgRT). However, the onboard MR systems with low‐field …

Purpose Radiotherapy planning based only on positron emission tomography/magnetic
resonance imaging (PET/MRI) lacks computed tomography (CT) information required for …

Fast and low-dose reconstructions of medical images are highly desired in clinical routines.
We propose a hybrid deep-learning and iterative reconstruction (hybrid DL-IR) framework …

Data scarcity and data imbalance are two major challenges in training deep learning models
on medical images, such as brain tumor MRI data. The recent advancements in generative …

We developed a machine-learning-based method generate good quality low dose CT using
a residual block concept and a self-attention strategy with a cycle-consistent adversarial …

Cone-beam computed tomography (CBCT) has been widely used in image-guided radiation
therapy for patient setup to improve treatment performance. However, the low soft tissue …

Purpose The superior soft‐tissue contrast achieved using magnetic resonance imaging
(MRI) compared to x‐ray computed tomography (CT) has led to the popularization of MRI …

Creating synthetic CT (sCT) from magnetic resonance (MR) images enables MR-based
treatment planning in radiation therapy. However, the MR images used for MR-guided …

Background Lung MRI with ultrashort echo times (UTEs) enables high-resolution and
radiation-free morphologic imaging; however, its image quality is still lower than that of CT …

Magnetic resonance (MR) image-guided radiotherapy is widely used in the treatment
planning of malignant tumors, and MR-only radiotherapy, a representative of this technique …