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 …
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-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 …
Diagnostic accuracy of quantitative multicontrast 5-minute knee MRI using prospective artificial intelligence image quality enhancement
AS Chaudhari, MJ Grissom, Z Fang… - American Journal of …, 2021 - Am Roentgen Ray Soc
Please see the Editorial Comment by Derik L. Davis discussing this article. BACKGROUND.
Potential approaches for abbreviated knee MRI, including prospective acceleration with …
Potential approaches for abbreviated knee MRI, including prospective acceleration with …
Improving the speed of MRI with artificial intelligence
PM Johnson, MP Recht, F Knoll - Seminars in musculoskeletal …, 2020 - thieme-connect.com
Magnetic resonance imaging (MRI) is a leading image modality for the assessment of
musculoskeletal (MSK) injuries and disorders. A significant drawback, however, is the …
musculoskeletal (MSK) injuries and disorders. A significant drawback, however, is the …
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 …
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 …
Assessment of the generalization of learned image reconstruction and the potential for transfer learning
Purpose Although deep learning has shown great promise for MR image reconstruction, an
open question regarding the success of this approach is the robustness in the case of …
open question regarding the success of this approach is the robustness in the case of …
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 …
Clinical impact of deep learning reconstruction in MRI
Deep learning has been recognized as a paradigm-shifting tool in radiology. Deep learning
reconstruction (DLR) has recently emerged as a technology used in the image …
reconstruction (DLR) has recently emerged as a technology used in the image …