Simple Summary Bone metastases represent a serious and common challenge in advanced
cancer patients, making early detection crucial. The growing implementation of artificial …

Multiparametric magnetic resonance imaging (mpMRI) plays a vital role in prostate cancer
diagnosis and management. With the increase in use of mpMRI, obtaining the best possible …

Deep learning has been recognized as a paradigm-shifting tool in radiology. Deep learning
reconstruction (DLR) has recently emerged as a technology used in the image …

Purpose Diffusion-weighted imaging (DWI) of the liver suffers from low resolution, noise, and
artifacts. This study aimed to investigate the effect of deep learning reconstruction (DLR) on …

PURPOSE Deep learning reconstruction (DLR) to improve imaging quality has already been
introduced, but no studies have evaluated the effect of DLR on diffusion-weighted imaging …

The aim of this study was to investigate whether super-resolution deep learning
reconstruction (SR-DLR) is superior to conventional deep learning reconstruction (DLR) with …

Purpose To evaluate whether deep learning reconstruction (DLR) accelerates the
acquisition of 1.5-T magnetic resonance imaging (MRI) knee data without image …

Rationale and Objectives To determine if super-resolution deep learning reconstruction (SR-
DLR) improves the depiction of cranial nerves and interobserver agreement when assessing …

Objective. Image quality in whole-body MRI (WB-MRI) may be degraded by faulty
radiofrequency (RF) coil elements or mispositioning of the coil arrays. Phantom-based …

Najeed Khan, Nora Sangvik Grandal and Naeem Ahmed discuss the evolving role of whole-
body magnetic resonance imaging, looking at its potential for diagnostics, screening and …