Accurate automated volumetry of cartilage of the knee using convolutional neural networks: data from the osteoarthritis initiative
Volumetry of the cartilage of the knee, as needed for the assessment of knee osteoarthritis
(KOA), is typically performed in a tedious and subjective process. We present an automated …
(KOA), is typically performed in a tedious and subjective process. We present an automated …
Automatic knee cartilage segmentation using fully volumetric convolutional neural networks for evaluation of osteoarthritis
Automated Cartilage segmentation is essential for improving the performance of advanced
Knee Osteoarthritis (OA) assessment due to its convoluted 3D structure. In this paper, we …
Knee Osteoarthritis (OA) assessment due to its convoluted 3D structure. In this paper, we …
Automated measurement and grading of knee cartilage thickness: a deep learning-based approach
JR Guo, P Yan, Y Qin, MN Liu, Y Ma, JQ Li… - Frontiers in …, 2024 - frontiersin.org
Background Knee cartilage is the most crucial structure in the knee, and the reduction of
cartilage thickness is a significant factor in the occurrence and development of osteoarthritis …
cartilage thickness is a significant factor in the occurrence and development of osteoarthritis …
CartiMorph: A framework for automated knee articular cartilage morphometrics
We introduce CartiMorph, a framework for automated knee articular cartilage
morphometrics. It takes an image as input and generates quantitative metrics for cartilage …
morphometrics. It takes an image as input and generates quantitative metrics for cartilage …
[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 …
Towards novel osteoarthritis biomarkers: Multi-criteria evaluation of 46,996 segmented knee MRI data from the Osteoarthritis Initiative
Convolutional neural networks (CNNs) are the state-of-the-art for automated assessment of
knee osteoarthritis (KOA) from medical image data. However, these methods lack …
knee osteoarthritis (KOA) from medical image data. However, these methods lack …
MRI-based multi-task deep learning for cartilage lesion severity staging in knee osteoarthritis
Purpose: Semi quantitative scoring systems, such as the Whole-Organ Magnetic Resonance
Imaging Score (WORMS) or MRI Osteoarthritis Knee Score (MOAKS), have been developed …
Imaging Score (WORMS) or MRI Osteoarthritis Knee Score (MOAKS), have been developed …
[HTML][HTML] Intra-and inter-observer reproducibility of volume measurement of knee cartilage segmented from the OAI MR image set using a novel semi-automated …
OBJECTIVE: We developed a semi-automated method based on a graph-cuts algorithm for
segmentation and volumetric measurements of the cartilage from high-resolution knee …
segmentation and volumetric measurements of the cartilage from high-resolution knee …
Getting cartilage thickness measurements right: a systematic inter-method comparison using MRI data from the Osteoarthritis Initiative
Objective Magnetic resonance imaging is the standard imaging modality to assess articular
cartilage. As the imaging surrogate of degenerative joint disease, cartilage thickness is …
cartilage. As the imaging surrogate of degenerative joint disease, cartilage thickness is …
[HTML][HTML] Quantitative measurement of cartilage volume is possible using two-dimensional magnetic resonance imaging data sets
LF Schaefer, V Nikac, JA Lynch, J Duryea - Osteoarthritis and cartilage, 2018 - Elsevier
Purpose 3D Magnetic resonance imaging (MRI) scans are generally used for quantitative
cartilage measurements in knee osteoarthritis. However, a great deal of MRI data is from 2D …
cartilage measurements in knee osteoarthritis. However, a great deal of MRI data is from 2D …