Deformable m-rep segmentation of object complexes

P.T. Fletcher1, S.M. Pizer1, A.G. Gash1, S. Joshi1
1Medical Image Display & Analysis Group, North Carolina State University, Chapel Hill, USA

Tóm tắt

While we have previously reported on multiscale segmentation of single-figure anatomic objects from medical images by deformable m-rep models, here we report on a method of segmentation of multiple geometrically related single-figure objects from a medical image. Inter-object geometric effects within segmentation of structures in the male pelvis from CT in the planning of radiation therapy of the prostate will be illustrated. Given a model in which each object is formed from a mesh of medial atoms, the method adds an object-complex similarity transformation stage ahead of the figural, medial atom, and boundary deformation stages of model transformation. The final three stages reward geometric interrelations among objects that occur in the model, according to the object-intrinsic coordinate systems provided by m-reps.

Từ khóa

#Deformable models #Image segmentation #Biomedical imaging #Atomic measurements #Solid modeling #Coordinate measuring machines #Position measurement #Displays #Image analysis #Pelvis

Tài liệu tham khảo

10.1109/42.811260 joshi, 2001, Multi-Scale 3-D Deformable Model Segmentation Based on Medical Description, Proc IPMI 2001 2082, 64 10.1007/3-540-45729-1_53 pizer, 2001, Deformable M-Reps for 3 D Medical Image Segmentation thall, 2002, Fast C2 Interpolating Subdivision Surfaces using Iterative Inversion of Stationary Subdivision Rules, Technical Report TR-02–011 cootes, 1999, Unified Framework for Atlas Matching Using Active Appearance Models, IPMI 1999, 322 10.1006/cviu.1995.1004