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This paper presents a voxel-classification-driven region-growing algorithm for automatically segmenting the whole femoral, tibial, and patellar cartilage tissues in high-field magnetic resonance (MR) images of the knee joint by taking into consideration systems with limited resources in particular. An abundance of background voxels and high dimensionality of the voxel samples were alleviated via various...
The purpose of this study is to segment the humeral head from two dimentional proton dansity(PD) magnetic resonance images (MRI) of shoulder. MRI studies of patients presenting with shoulder pain may demonstrate bone marrow edema and different degrees of contour changes. Computerised tomography(CT) and T1 weighted MR images demonstrate bone margins better. T2 or PD weighted images are poor in determining...
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