This paper presents an automated segmentation approach for MR images of the knee bones. The bones are the first stage of a segmentation system for the knee, primarily aimed at the automated segmentation of the cartilages. The segmentation is performed using 3D active shape models (ASM), which are initialized using an affine registration to an atlas. The 3D ASMs of the bones are created automatically using a point distribution model optimization scheme. The accuracy and robustness of the segmentation approach was experimentally validated using an MR database of fat suppressed spoiled gradient recall images
. This paper presents a method for automatic segmentation of the tibia and femur in clinical magneti...
Abstract Manual segmentation of articular cartilage from knee joint 3D magnetic resonance images (M...
Deformable models are a highly accurate and flexible approach to segmenting structures in medical im...
We present and validate a hybrid segmentation scheme based around 3D active shape models, which is u...
In this master’s thesis a fully automated method is presented for seg-menting bones and cartilage in...
The accurate segmentation of the bone and articular cartilages from magnetic resonance (MR) images o...
Knee osteoarthritis is a chronic joint inflammation disease that affects the aged population nowaday...
To perform cartilage quantitative analysis requires the accurate segmentation of each individual car...
In this paper a fully automated segmentation system for the femur in the knee in Magnetic Resonance ...
Abstract. To perform cartilage quantitative analysis requires the accu-rate segmentation of each ind...
This paper presents the creation of 3D statistical shape models of the knee bones and their use to e...
In this paper, we present a segmentation scheme that automatically and accurately segments all the c...
The detection of cartilage loss due to disease progression in Osteoarthritis remains a challenging p...
Automatic image analysis of magnetic resonance (MR) images of the knee is simplified by bringing the...
Rationale and Objectives. The segmentation of textured anatomy from magnetic resonance images (MRI) ...
. This paper presents a method for automatic segmentation of the tibia and femur in clinical magneti...
Abstract Manual segmentation of articular cartilage from knee joint 3D magnetic resonance images (M...
Deformable models are a highly accurate and flexible approach to segmenting structures in medical im...
We present and validate a hybrid segmentation scheme based around 3D active shape models, which is u...
In this master’s thesis a fully automated method is presented for seg-menting bones and cartilage in...
The accurate segmentation of the bone and articular cartilages from magnetic resonance (MR) images o...
Knee osteoarthritis is a chronic joint inflammation disease that affects the aged population nowaday...
To perform cartilage quantitative analysis requires the accurate segmentation of each individual car...
In this paper a fully automated segmentation system for the femur in the knee in Magnetic Resonance ...
Abstract. To perform cartilage quantitative analysis requires the accu-rate segmentation of each ind...
This paper presents the creation of 3D statistical shape models of the knee bones and their use to e...
In this paper, we present a segmentation scheme that automatically and accurately segments all the c...
The detection of cartilage loss due to disease progression in Osteoarthritis remains a challenging p...
Automatic image analysis of magnetic resonance (MR) images of the knee is simplified by bringing the...
Rationale and Objectives. The segmentation of textured anatomy from magnetic resonance images (MRI) ...
. This paper presents a method for automatic segmentation of the tibia and femur in clinical magneti...
Abstract Manual segmentation of articular cartilage from knee joint 3D magnetic resonance images (M...
Deformable models are a highly accurate and flexible approach to segmenting structures in medical im...