Title :
D-Snake: Image Registration by As-Similar-As-Possible Template Deformation
Author :
Levi, Zohar ; Gotsman, Craig
Author_Institution :
Comput. Sci. Dept., Technion - Israel Inst. of Technol., Haifa, Israel
Abstract :
We describe a snake-type method for shape registration in 2D and 3D, by fitting a given polygonal template to an acquired image or volume data. The snake aspires to fit itself to the data in a shape which is locally As-Similar-As-Possible (ASAP) to the template. Our ASAP regulating force is based on the Moving Least Squares (MLS) similarity deformation. Combining this force with the traditional internal and external forces associated with a snake leads to a powerful and robust registration algorithm, capable of extracting precise shape information from image data.
Keywords :
feature extraction; image matching; image registration; least squares approximations; 2D shape registration; 3D shape registration; ASAP regulating force; D-snake; MLS similarity deformation; as-similar-as-possible template deformation; image data; image registration; moving least squares similarity deformation; polygonal template fitting; precise shape information extraction; registration algorithm; snake-type method; volume data; Computed tomography; Deformable models; Force; Image edge detection; Lungs; Shape; Three dimensional displays; MLS deformation; Snake; registration;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2012.134
