Focused shape models for hip joint segmentation in 3D magnetic resonance images
? We introduce a weighted shape learning approach applied to the human hip joint. Weights may be set to focus the shape representation energy to important areas. The highly weighted areas become the dominant representations within the model. Lower reconstruction errors and higher accuracy can be obtained in those areas. Validation was done on 35 3T unilateral small field of view MR scans.
shape models hip joint wpca bone segmentation mri