Automatic segmentation and quantitative analysis of the articular cartilages from magnetic resonance images of the knee.
about
On the use of coupled shape priors for segmentation of magnetic resonance images of the knee.Automatic detection of anatomical landmarks on the knee joint using MRI data.Automatic model-based semantic registration of multimodal MRI knee data.Automatic segmentation of high- and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative.Development of a rapid knee cartilage damage quantification method using magnetic resonance images.LOGISMOS--layered optimal graph image segmentation of multiple objects and surfaces: cartilage segmentation in the knee joint.Three-dimensional hip cartilage quality assessment of morphology and dGEMRIC by planar maps and automated segmentation.Machine learning classification of OARSI-scored human articular cartilage using magnetic resonance imagingAutomatic Articular Cartilage Segmentation Based on Pattern Recognition from Knee MRI Images.Quantitative imaging biomarkers: the application of advanced image processing and analysis to clinical and preclinical decision makingFully automatic analysis of the knee articular cartilage T1ρ relaxation time using voxel-based relaxometry.Principal component analysis in construction of 3D human knee joint models using a statistical shape model method.An outlook on future design of hybrid PET/MRI systems.Quantitative MRI in the evaluation of articular cartilage health: reproducibility and variability with a focus on T2 mapping.Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging.Fully automated segmentation of cartilage from the MR images of knee using a multi-atlas and local structural analysis methodAutomatic segmentation of the glenohumeral cartilages from magnetic resonance images.Automatic atlas-based three-label cartilage segmentation from MR knee images.Contour interpolated radial basis functions with spline boundary correction for fast 3D reconstruction of the human articular cartilage from MR images.Automated analysis of hip joint cartilage combining MR T2 and three-dimensional fast-spin-echo images.AUTOMATIC MULTI-ATLAS-BASED CARTILAGE SEGMENTATION FROM KNEE MR IMAGES.A fully automated human knee 3D MRI bone segmentation using the ray casting technique.Predicting early symptomatic osteoarthritis in the human knee using machine learning classification of magnetic resonance images from the osteoarthritis initiative.Tool for osteoarthritis risk prediction (TOARP) over 8 years using baseline clinical data, X-ray, and MRI: Data from the osteoarthritis initiative.Knee cartilage segmentation and thickness computation from ultrasound images.Shape-based acetabular cartilage segmentation: application to CT and MRI datasets.Acetabular cartilage segmentation in CT arthrography based on a bone-normalized probabilistic atlas.
P2860
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P2860
Automatic segmentation and quantitative analysis of the articular cartilages from magnetic resonance images of the knee.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh-hant
name
Automatic segmentation and qua ...... resonance images of the knee.
@en
Automatic segmentation and qua ...... resonance images of the knee.
@nl
type
label
Automatic segmentation and qua ...... resonance images of the knee.
@en
Automatic segmentation and qua ...... resonance images of the knee.
@nl
prefLabel
Automatic segmentation and qua ...... resonance images of the knee.
@en
Automatic segmentation and qua ...... resonance images of the knee.
@nl
P2860
P356
P1476
Automatic segmentation and qua ...... resonance images of the knee.
@en
P2093
Stuart Crozier
Sébastien Ourselin
P2860
P356
10.1109/TMI.2009.2024743
P577
2009-06-10T00:00:00Z