[HTML][HTML] Osteoarthritis year in review 2023: biomechanics

LE Diamond, T Grant, SD Uhlrich - Osteoarthritis and cartilage, 2024 - Elsevier
Biomechanics plays a significant yet complex role in osteoarthritis (OA) onset and
progression. Identifying alterations in biomechanical factors and their complex interactions is …

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 …

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 …

Deep Anatomical Federated Network (Dafne): an open client/server framework for the continuous collaborative improvement of deep-learning-based medical image …

F Santini, J Wasserthal, A Agosti, X Deligianni… - arXiv preprint arXiv …, 2023 - arxiv.org
Semantic segmentation is a crucial step to extract quantitative information from medical
(and, specifically, radiological) images to aid the diagnostic process, clinical follow-up. and …

Generalizability of deep learning segmentation algorithms for automated assessment of cartilage morphology and MRI relaxometry

AM Schmidt, AD Desai, LE Watkins… - Journal of Magnetic …, 2023 - Wiley Online Library
Background Deep learning (DL)‐based automatic segmentation models can expedite
manual segmentation yet require resource‐intensive fine‐tuning before deployment on new …

A method for measuring B0 field inhomogeneity using quantitative double‐echo in steady‐state

M Barbieri, AS Chaudhari, CJ Moran… - Magnetic resonance …, 2023 - Wiley Online Library
Purpose To develop and validate a method for B 0 B _0 mapping for knee imaging using the
quantitative Double‐Echo in Steady‐State (qDESS) exploiting the phase difference (Δ θ Δ θ) …

Reproducibility of Quantitative Double‐Echo Steady‐State T2 Mapping of Knee Cartilage

AA Williams, JL Asay, D Asare… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Cartilage T2 can detect joints at risk of developing osteoarthritis. The
quantitative double‐echo steady state (qDESS) sequence is attractive for knee cartilage T2 …

T2 Clusters Are More Sensitive Than Mean T2 Change to Detect Early and Longitudinal Changes in Anterior Cruciate Ligament Reconstructed and Healthy Knees

A Pai S, AA Gatti, MS Black, KA Young… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Post‐traumatic osteoarthritis (PTOA) often follows anterior cruciate ligament
reconstruction (ACLR), leading to early cartilage degradation. Change in mean T2 fails to …

Two for One—Combined Morphologic and Quantitative Knee Joint MRI Using a Versatile Turbo Spin-Echo Platform

T Lemainque, N Pridöhl, M Huppertz, M Post, C Yüksel… - Diagnostics, 2024 - mdpi.com
Quantitative MRI techniques such as T2 and T1ρ mapping are beneficial in evaluating knee
joint pathologies; however, long acquisition times limit their clinical adoption. MIXTURE …

Field inhomogeneity correction for qDESS mapping: application to rapid bilateral knee imaging

M Barbieri, LE Watkins, V Mazzoli, AD Desai… - … Resonance Materials in …, 2023 - Springer
Purpose T 2 mapping is a powerful tool for studying osteoarthritis (OA) changes and bilateral
imaging may be useful in investigating the role of between-knee asymmetry in OA onset and …