State of the art: imaging of osteoarthritis—revisited 2020

FW Roemer, S Demehri, P Omoumi, TM Link… - Radiology, 2020 - pubs.rsna.org
Osteoarthritis (OA) is a highly prevalent chronic condition with marked implications for
affected individuals and public health care. There are available treatments to manage pain …

Value of MRI in medicine: More than just another test?

EJR van Beek, C Kuhl, Y Anzai… - Journal of Magnetic …, 2019 - Wiley Online Library
There is increasing scrutiny from healthcare organizations towards the utility and associated
costs of imaging. MRI has traditionally been used as a high‐end modality, and although …

Super‐resolution musculoskeletal MRI using deep learning

AS Chaudhari, Z Fang, F Kogan, J Wood… - Magnetic resonance …, 2018 - Wiley Online Library
Purpose To develop a super‐resolution technique using convolutional neural networks for
generating thin‐slice knee MR images from thicker input slices, and compare this method …

Prospective deployment of deep learning in MRI: a framework for important considerations, challenges, and recommendations for best practices

AS Chaudhari, CM Sandino, EK Cole… - Journal of Magnetic …, 2021 - Wiley Online Library
Artificial intelligence algorithms based on principles of deep learning (DL) have made a
large impact on the acquisition, reconstruction, and interpretation of MRI data. Despite the …

Skm-tea: A dataset for accelerated mri reconstruction with dense image labels for quantitative clinical evaluation

AD Desai, AM Schmidt, EB Rubin, CM Sandino… - arXiv preprint arXiv …, 2022 - arxiv.org
Magnetic resonance imaging (MRI) is a cornerstone of modern medical imaging. However,
long image acquisition times, the need for qualitative expert analysis, and the lack of (and …

Rapid knee MRI acquisition and analysis techniques for imaging osteoarthritis

AS Chaudhari, F Kogan, V Pedoia… - Journal of Magnetic …, 2020 - Wiley Online Library
Osteoarthritis (OA) of the knee is a major source of disability that has no known treatment or
cure. Morphological and compositional MRI is commonly used for assessing the bone and …

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 …

Utility of deep learning super‐resolution in the context of osteoarthritis MRI biomarkers

AS Chaudhari, KJ Stevens, JP Wood… - Journal of Magnetic …, 2020 - Wiley Online Library
Background Super‐resolution is an emerging method for enhancing MRI resolution;
however, its impact on image quality is still unknown. Purpose To evaluate MRI super …

[HTML][HTML] Assessment of quantitative [18F] Sodium fluoride PET measures of knee subchondral bone perfusion and mineralization in osteoarthritic and healthy subjects

L Watkins, J MacKay, B Haddock, V Mazzoli… - Osteoarthritis and …, 2021 - Elsevier
Objective Molecular information derived from dynamic [18 F] sodium fluoride ([18 F] NaF)
PET imaging holds promise as a quantitative marker of bone metabolism. The objective of …

[PDF][PDF] Magnetic resonance imaging assessment of knee osteoarthritis: current and developing new concepts and techniques

D Hayashi, FW Roemer, A Guermazi - Clin Exp Rheumatol, 2019 - clinexprheumatol.org
Magnetic resonance imaging (MRI) is a well-established imaging technique for structural
assessment of knee osteoarthritis (OA) particularly in a research context. Conventional MRI …