DJ Lin, SS Walter, J Fritz - Investigative Radiology, 2023 - journals.lww.com
Magnetic resonance imaging (MRI) is the keystone of modern musculoskeletal imaging; however, long pulse sequence acquisition times may restrict patient tolerability and access …
Background MRI is a powerful diagnostic tool with a long acquisition time. Recently, deep learning (DL) methods have provided accelerated high-quality image reconstructions from …
H Almansour, J Herrmann, S Gassenmaier, S Afat… - Radiology, 2022 - pubs.rsna.org
Background Deep learning (DL)–based MRI reconstructions can reduce examination times for turbo spin-echo (TSE) acquisitions. Studies that prospectively employ DL-based …
Over the past decades, MRI has become increasingly important for diagnosing and longitudinally monitoring musculoskeletal disorders, with ongoing hardware and software …
J Herrmann, G Keller, S Gassenmaier, D Nickel… - European …, 2022 - Springer
Objectives The aim of this study was to evaluate the image quality and diagnostic performance of a deep-learning (DL)–accelerated two–dimensional (2D) turbo spin echo …
S Afat, J Herrmann, H Almansour, T Benkert… - Diagnostic and …, 2023 - Elsevier
Purpose The purpose of this study was to investigate the impact of deep learning accelerated diffusion-weighted imaging (DWI DL) in 1.5-T liver MRI on image quality …
Artificial intelligence (AI) advancements, especially deep learning, have significantly improved medical image processing and analysis in various tasks such as disease …
Objectives This study aimed to examine various combinations of parallel imaging (PI) and simultaneous multislice (SMS) acceleration imaging using deep learning (DL)-enhanced …
S Gassenmaier, V Warm, D Nickel, E Weiland… - Cancers, 2023 - mdpi.com
Simple Summary Multi-parametric MRI (mpMRI) of the prostate is one emerging tool for early detection of clinically-significant cancer. Standard acquisition protocols provide a slice …