Deep Learning for Parallel MRI Reconstruction: Overview, Challenges, and Opportunities

MR-guided Focused Ultrasound (MRgFUS) is a novel, groundbreaking technology that allows incisionless surgery. In essential tremor, the target spot is the Ventralis Intermidius Thalamic (Vim) nucleus, located in the hemisphere contralateral to the affected body part. [...]

Investigative Radiology December 2021

Respiratory binning of free-breathing magnetic resonance imaging data reduces motion blurring; however, it exacerbates noise and introduces severe artifacts due to undersampling. Deep neural networks can remove artifacts and noise but usually require high-quality ground truth images for training. This study aimed to develop a network that can be trained without this requirement. [...]

Investigative Radiology June 2021

The aim of this study was to investigate the impact of a novel iterative denoising and image enhancement technique in T1-weighted precontrast and postcontrast volume-interpolated breath-hold examination (VIBE) of the abdomen on image quality, noise levels, and diagnostic confidence without change of acquisition parameters. [...]