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 …
Using deep learning to accelerate knee MRI at 3 T: results of an interchangeability study
MP Recht, J Zbontar, DK Sodickson… - American Journal of …, 2020 - Am Roentgen Ray Soc
OBJECTIVE. Deep learning (DL) image reconstruction has the potential to disrupt the
current state of MRI by significantly decreasing the time required for MRI examinations. Our …
current state of MRI by significantly decreasing the time required for MRI examinations. Our …
A Deep Learning System for Synthetic Knee Magnetic Resonance Imaging: Is Artificial Intelligence‐Based Fat-Suppressed Imaging Feasible?
LM Fayad, VS Parekh, R de Castro Luna… - Investigative …, 2021 - journals.lww.com
Objectives The aim of this study was to determine the feasibility and performance of a deep
learning system used to create synthetic artificial intelligence‐based fat-suppressed …
learning system used to create synthetic artificial intelligence‐based fat-suppressed …
Analysis and evaluation of a deep learning reconstruction approach with denoising for orthopedic MRI
Purpose To evaluate two settings (noise reduction of 50% or 75%) of a deep learning (DL)
reconstruction model relative to each other and to conventional MR image reconstructions …
reconstruction model relative to each other and to conventional MR image reconstructions …
Automatic deep learning–assisted detection and grading of abnormalities in knee MRI studies
Purpose To test the hypothesis that artificial intelligence (AI) techniques can aid in
identifying and assessing lesion severity in the cartilage, bone marrow, meniscus, and …
identifying and assessing lesion severity in the cartilage, bone marrow, meniscus, and …
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 …
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: development and retrospective validation of MRNet
Background Magnetic resonance imaging (MRI) of the knee is the preferred method for
diagnosing knee injuries. However, interpretation of knee MRI is time-intensive and subject …
diagnosing knee injuries. However, interpretation of knee MRI is time-intensive and subject …
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Purpose To advance research in the field of machine learning for MR image reconstruction
with an open challenge. Methods We provided participants with a dataset of raw k‐space …
with an open challenge. Methods We provided participants with a dataset of raw k‐space …
Deep learning approach for evaluating knee MR images: achieving high diagnostic performance for cartilage lesion detection
F Liu, Z Zhou, A Samsonov, D Blankenbaker… - Radiology, 2018 - pubs.rsna.org
Purpose To determine the feasibility of using a deep learning approach to detect cartilage
lesions (including cartilage softening, fibrillation, fissuring, focal defects, diffuse thinning due …
lesions (including cartilage softening, fibrillation, fissuring, focal defects, diffuse thinning due …
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 …