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 …

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 …

Deep learning reconstruction enables prospectively accelerated clinical knee MRI

PM Johnson, DJ Lin, J Zbontar, CL Zitnick, A Sriram… - Radiology, 2023 - pubs.rsna.org
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 …

Deep learning reconstruction for accelerated spine MRI: prospective analysis of interchangeability

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 …

MRI advancements in musculoskeletal clinical and research practice

DB Sneag, F Abel, HG Potter, J Fritz, MF Koff… - Radiology, 2023 - pubs.rsna.org
Over the past decades, MRI has become increasingly important for diagnosing and
longitudinally monitoring musculoskeletal disorders, with ongoing hardware and software …

[HTML][HTML] Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a …

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 …

[HTML][HTML] Acquisition time reduction of diffusion-weighted liver imaging using deep learning image reconstruction

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 …

[HTML][HTML] Machine learning empowering personalized medicine: A comprehensive review of medical image analysis methods

I Galić, M Habijan, H Leventić, K Romić - Electronics, 2023 - mdpi.com
Artificial intelligence (AI) advancements, especially deep learning, have significantly
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

MW Kim, SM Lee, C Park, D Lee, KS Kim… - Investigative …, 2022 - journals.lww.com
Objectives This study aimed to examine various combinations of parallel imaging (PI) and
simultaneous multislice (SMS) acceleration imaging using deep learning (DL)-enhanced …

[HTML][HTML] 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 …