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197
Steady-State Diffusion-Weighted Imaging of In Vivo Knee Cartilage
"... Diffusion-weighted imaging (DWI) has strong potential as a diagnostic for early cartilage damage, with clinical impact for diseases such as osteoarthritis. However, in vivo DWI of carti-lage has proven difficult with conventional methods due to the short T2. This work presents a 3D steady-state DWI ..."
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Diffusion-weighted imaging (DWI) has strong potential as a diagnostic for early cartilage damage, with clinical impact for diseases such as osteoarthritis. However, in vivo DWI of carti-lage has proven difficult with conventional methods due to the short T2. This work presents a 3D steady-state DWI
Inter-subject comparison of MRI knee cartilage thickness
"... In this paper, we present the development and application of current image processing techniques to perform MRI inter-subject comparison of knee cartilage thickness based on the registration of bone structures. Each point in the bone surface which is part of the bone–cartilage interface is assigned ..."
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morphing technique is also presented. The cartilage segmentation and morphing were validated visually, based on volumetric measurements of porcine knee images which cartilage volumes were measured using a water displacement method, and based on digital thickness values computed with an established
MRI cartilage of the knee: segmentation, analysis, and visualization.
"... A common manifestation of osteoarthritis (OA) of the knee is the morphological degeneration of articular cartilage. Magnetic resonance imaging (MRI) offers the potential to visualize and analyze quantitatively those changes in vivo. The common process follows the path of acquisition, segmentation, a ..."
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A common manifestation of osteoarthritis (OA) of the knee is the morphological degeneration of articular cartilage. Magnetic resonance imaging (MRI) offers the potential to visualize and analyze quantitatively those changes in vivo. The common process follows the path of acquisition, segmentation
CLASSIFICATION OF KNEE MRI IMAGES
"... Classification is very important part of digital image analysis. It is a computational procedure that sort images into groups according to their similarities. MRI is latest medical imaging technology. Magnetic Resonance Imaging used for Knee scans is very useful and effective technique to detect the ..."
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the knee joint defects. It is a non-invasive method to take picture of knee joint and the surrounding images. Classification of knee MR Images is done for the analysis purpose. In the preprocessing steps, segmentation is done using active contour without edges by chen and vese. Region containing cartilage
The association of cartilage volume with knee pain
"... Objective: Whilst the characteristic pathologic feature of OA is the loss of hyaline cartilage, prior studies have demonstrated a poor relationship between severity of reported knee pain and degree of radiographic change. The aim of this study was to examine the association between knee symptoms and ..."
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-echo MRI performed of their right knee. Femoral, tibial and patella cartilage volumes were measured using three-dimensional (3D) Slicer, a software that facilitates semi-automatic segmentation, generation of 3D surface models and quantitative analysis. Qualitative data relating to symptoms, stiffness, pain
Adaptive, Template Moderated, Spatially Varying Statistical Classification
- Medical Image Analysis
, 1998
"... A novel image segmentation algorithm was developed to allow the automatic segmentation of both normal and abnormal anatomy. The new algorithm is a form of spatially varying classification (SVC), in which an explicit anatomical template is used to moderate the segmentation obtained by k Nearest Neigh ..."
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Cited by 113 (23 self)
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segmentation problems, involving different types of imaging and different locations in the body. Segmentation and validation experiments were carried out for problems involving the quantification of normal anatomy (MRI of brains of babies, MRI of knee cartilage of normal volunteers) and pathology of various
A Fully Automated Segmentation of Knee Bones and Cartilage Using Shape Context and Active Shape Models
, 2012
"... In this master’s thesis a fully automated method is presented for seg-menting bones and cartilage in magnetic resonance imaging (MRI) of the knee. The knee joint is the most complex joint in the human body and supports the weight of the whole body. This complexity and acute task of the knee joint le ..."
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In this master’s thesis a fully automated method is presented for seg-menting bones and cartilage in magnetic resonance imaging (MRI) of the knee. The knee joint is the most complex joint in the human body and supports the weight of the whole body. This complexity and acute task of the knee joint
Research Article Quantitative Evaluation of Growth Plates around the Knees of Adolescent Soccer Players by Diffusion-Weighted Magnetic Resonance Imaging
"... Copyright © 2015 Zmago Krajnc et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Purpose. To quantitatively evaluate growth plate ..."
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plates around the knees in adolescent soccer players utilizing the diffusion-weightedMR imaging (DWI).Methods. The knees and adjacent growth plates of eleven 14-year-old male soccer players were evaluated by MRI before (end of season’s summer break) and after two months of intense soccer training. MRI
Knee Joint Articular Cartilage Segmentation, Visualization and Quantification using Image Processing Techniques: A Review
"... Knee is a complex and articulated joint of the body. Cartilage is a smooth hyaline spongy material between the tibia and femur bones of knee joint. Cartilage morphology change is an important biomarker for the progression of osteoarthritis (OA). Magnetic resonance imaging (MRI) is the modality widel ..."
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Cited by 1 (0 self)
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Knee is a complex and articulated joint of the body. Cartilage is a smooth hyaline spongy material between the tibia and femur bones of knee joint. Cartilage morphology change is an important biomarker for the progression of osteoarthritis (OA). Magnetic resonance imaging (MRI) is the modality
Automatic human knee cartilage segmentation from 3d magnetic resonance images
- Biomedical Engineering
"... Abstract—This study aimed at developing a new automatic seg-mentation algorithm for human knee cartilage volume quantifica-tion from MRI. Imaging was performed using a 3T scanner and a knee coil, and the exam consisted of a double echo steady state (DESS) sequence, which contrasts cartilage and soft ..."
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Cited by 7 (0 self)
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Abstract—This study aimed at developing a new automatic seg-mentation algorithm for human knee cartilage volume quantifica-tion from MRI. Imaging was performed using a 3T scanner and a knee coil, and the exam consisted of a double echo steady state (DESS) sequence, which contrasts cartilage
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