Emerging technology in musculoskeletal MRI and CT
R Kijowski, J Fritz - Radiology, 2023 - pubs.rsna.org
This article provides a focused overview of emerging technology in musculoskeletal MRI
and CT. These technological advances have primarily focused on decreasing examination …
and CT. These technological advances have primarily focused on decreasing examination …
Artificial intelligence–driven ultra-fast superresolution MRI: 10-fold accelerated musculoskeletal turbo spin echo MRI within reach
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 …
however, long pulse sequence acquisition times may restrict patient tolerability and access …
Deep learning reconstruction enables prospectively accelerated clinical knee MRI
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 …
learning (DL) methods have provided accelerated high-quality image reconstructions from …
Deep learning reconstruction for accelerated spine MRI: prospective analysis of interchangeability
Background Deep learning (DL)–based MRI reconstructions can reduce examination times
for turbo spin-echo (TSE) acquisitions. Studies that prospectively employ DL-based …
for turbo spin-echo (TSE) acquisitions. Studies that prospectively employ DL-based …
MRI advancements in musculoskeletal clinical and research practice
Over the past decades, MRI has become increasingly important for diagnosing and
longitudinally monitoring musculoskeletal disorders, with ongoing hardware and software …
longitudinally monitoring musculoskeletal disorders, with ongoing hardware and software …
Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard …
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 …
performance of a deep-learning (DL)–accelerated two–dimensional (2D) turbo spin echo …
[HTML][HTML] Acquisition time reduction of diffusion-weighted liver imaging using deep learning image reconstruction
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 …
accelerated diffusion-weighted imaging (DWI DL) in 1.5-T liver MRI on image quality …
Machine learning empowering personalized medicine: A comprehensive review of medical image analysis methods
Artificial intelligence (AI) advancements, especially deep learning, have significantly
improved medical image processing and analysis in various tasks such as disease …
improved medical image processing and analysis in various tasks such as disease …
Deep learning-enhanced parallel imaging and simultaneous multislice acceleration reconstruction in knee MRI
Objectives This study aimed to examine various combinations of parallel imaging (PI) and
simultaneous multislice (SMS) acceleration imaging using deep learning (DL)-enhanced …
simultaneous multislice (SMS) acceleration imaging using deep learning (DL)-enhanced …
Thin-slice prostate MRI enabled by deep learning image reconstruction
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 …
detection of clinically-significant cancer. Standard acquisition protocols provide a slice …