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

Volume

19

Issue

2

fYear

2013

fDate

Feb. 2013

Firstpage

331

Lastpage

343

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;

fLanguage

English

Journal_Title

Visualization and Computer Graphics, IEEE Transactions on

Publisher

ieee

ISSN

1077-2626

Type

jour

DOI

10.1109/TVCG.2012.134

Filename

6216370