Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI …
Objective To evaluate the agreement, accuracy, and longitudinal reproducibility of
quantitative cartilage morphometry from 2D U-Net-based automated segmentations for 3T …
quantitative cartilage morphometry from 2D U-Net-based automated segmentations for 3T …
[HTML][HTML] Equivalence and precision of knee cartilage morphometry between different segmentation teams, cartilage regions, and MR acquisitions
E Schneider, M Nevitt, C McCulloch, FM Cicuttini… - Osteoarthritis and …, 2012 - Elsevier
OBJECTIVE: To compare precision and evaluate equivalence of femorotibial cartilage
volume (VC) and mean cartilage thickness over total area of bone (ThCtAB. Me) from …
volume (VC) and mean cartilage thickness over total area of bone (ThCtAB. Me) from …
[HTML][HTML] Two year longitudinal change and test–retest-precision of knee cartilage morphology in a pilot study for the osteoarthritis initiative
F Eckstein, M Kunz, M Schutzer, M Hudelmaier… - Osteoarthritis and …, 2007 - Elsevier
OBJECTIVE: Fast low angle shot (FLASH) and double echo steady state (DESS) magnetic
resonance imaging (MRI) acquisitions were recently cross-calibrated for quantification of …
resonance imaging (MRI) acquisitions were recently cross-calibrated for quantification of …
[HTML][HTML] Segmentation of knee MRI data with convolutional neural networks for semi-automated three-dimensional surface-based analysis of cartilage morphology …
DA Kessler, JW MacKay, SM McDonnell… - Osteoarthritis …, 2022 - Elsevier
Objective To assess automatic segmentations for surface-based analysis of cartilage
morphology and composition on knee magnetic resonance (MR) images. Methods 2D and …
morphology and composition on knee magnetic resonance (MR) images. Methods 2D and …
Detection of differences in longitudinal cartilage thickness loss using a deep‐learning automated segmentation algorithm: Data from the Foundation for the National …
F Eckstein, AS Chaudhari, D Fuerst… - Arthritis Care & …, 2022 - Wiley Online Library
Objective To study the longitudinal performance of fully automated cartilage segmentation in
knees with radiographic osteoarthritis (OA), we evaluated the sensitivity to change in …
knees with radiographic osteoarthritis (OA), we evaluated the sensitivity to change in …
Deep learning‐based segmentation of knee MRI for fully automatic subregional morphological assessment of cartilage tissues: Data from the Osteoarthritis Initiative
Morphological changes in knee cartilage subregions are valuable imaging‐based
biomarkers for understanding progression of osteoarthritis, and they are typically detected …
biomarkers for understanding progression of osteoarthritis, and they are typically detected …
[HTML][HTML] Sensitivity to change of cartilage morphometry using coronal FLASH, sagittal DESS, and coronal MPR DESS protocols–comparative data from the …
W Wirth, M Nevitt, MPH Le Graverand… - Osteoarthritis and …, 2010 - Elsevier
OBJECTIVE: The Osteoarthritis Initiative (OAI) is targeted at identifying sensitive biomarkers
and risk factors of symptomatic knee osteoarthritis (OA) onset and progression. Quantitative …
and risk factors of symptomatic knee osteoarthritis (OA) onset and progression. Quantitative …
Layer-specific analysis of femorotibial cartilage t2 relaxation time based on registration of segmented double echo steady state (dess) to multi-echo-spin-echo (mese) …
Objective To develop and validate a 3D registration approach by which double echo steady
state (DESS) MR images with cartilage thickness segmentations are used to extract the …
state (DESS) MR images with cartilage thickness segmentations are used to extract the …
Automated cartilage segmentation and quantification using 3D ultrashort echo time (UTE) cones MR imaging with deep convolutional neural networks
Objective To develop a fully automated full-thickness cartilage segmentation and mapping of
T1, T1ρ, and T2*, as well as macromolecular fraction (MMF) by combining a series of …
T1, T1ρ, and T2*, as well as macromolecular fraction (MMF) by combining a series of …
[HTML][HTML] Automatic morphometric cartilage quantification in the medial tibial plateau from MRI for osteoarthritis grading
EB Dam, J Folkesson, PC Pettersen… - Osteoarthritis and …, 2007 - Elsevier
OBJECTIVE: To evaluate whether a novel, fully automatic, morphometric cartilage
quantification framework is suitable for assessing level of knee osteoarthritis (OA) in clinical …
quantification framework is suitable for assessing level of knee osteoarthritis (OA) in clinical …
相关搜索
- longitudinal reproducibility cartilage measures
- mri contrasts cartilage measures
- longitudinal reproducibility mri contrasts
- osteoarthritis initiative cartilage measures
- longitudinal reproducibility osteoarthritis initiative
- osteoarthritis initiative mri contrasts
- cartilage segmentation echo time
- cartilage volume quantitative measurement
- cartilage tissues knee mri
- cartilage quantification osteoarthritis grading
- cartilage volume imaging data sets
- tibial plateau osteoarthritis grading
- cartilage quantification tibial plateau
- osteoarthritis initiative cartilage morphometry
- osteoarthritis initiative knee mri
- osteoarthritis initiative cartilage tissues