Validation Quantitatively compare automatically detected suture lines with manually determined suture lines in at least 10 subjects. Yin Peng Image Data CT images of pelvis Goals Develop a methodology for segmentation of soft tissue objects. Methods I, IP PDM in 2D to represent shape of the tissue objects and its relationship with respect to the body outline. In at least 5 volumetric data sets, calculate rms border positioning errors and volume errors. IP Methods I, AI Validation Rob Stefancik Image Data Contrast Enhanced MRA Images of lower abdomen and upper legs.
Goals Develop a methodology for segmentation and labelling of vascular tree.
Methods I, IP Mathematical morphology operators for tree graph generation. Methods I, AI Use vascular atlas as a priori knowledge for vessel identification and segmentation. In at least 10 MRA data volumes, perform segmentation algorithm and qualitatively assess anatomical accuaracy of the resulting vascular trees. Methods I, AI Use existing mutual information objective criteria, and develop at least two other objective functions based on mutual information. Methods I, IP Edge detection for determining the envelope function.