Fluorescence imaging has become an essential tool in biomedical research. However, non-
invasive deep-tissue three-dimensional optical in vivo imaging with the high spatiotemporal …

Background Advancements in deep‐learning based synthetic computed tomography (sCT)
image conversion methods have enabled the development of magnetic resonance imaging …

Purpose To describe the implementation and initial results of using Chemical Exchange
Saturation Transfer (CEST) for monitoring patients with central nervous system (CNS) …

Background and purpose Survival in glioblastoma might be extended by escalating the
radiotherapy dose to treatment-resistant tumour and adapting to tumour changes. Diffusion …

Simple Summary Hypoxia in solid tumors is common in most solid cancers and is associated
with treatment resistance to both chemo-and radiation-therapy. There is also reason to …

Multimodal magnetic resonance imaging (MRI) contains complementary information in
anatomical and functional images that help the accurate diagnosis and treatment evaluation …

Purpose We developed a deep learning (DL) model for fast deformable image registration
using 2-dimensional sagittal cine magnetic resonance imaging (MRI) acquired during …

Recently, radiotherapy (RT) has entered a new realm of precision cancer therapy with the
introduction of magnetic resonance (MR) imaging guided radiotherapy systems into the …

Magnetic resonance fingerprinting (MRF) is an emerging imaging technique for rapid and
simultaneous quantification of multiple tissue properties. The technique has been developed …

Purpose To propose a framework called live‐view golden‐angle radial sparse parallel
(GRASP) MRI for low‐latency and high‐fidelity real‐time volumetric MRI. Methods Live‐view …