Coordinate transformation in 3D image matching by a physics based method-elastic body splines

Author

Davis, Malcolm H. ; Khotanzad, Alireza ; Flamig, Duane P. ; Harms, Steven E.

Author_Institution

Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA

fYear

1995

fDate

21-23 Nov 1995

Firstpage

218

Lastpage

222

Abstract

Any image matching scheme that is based on landmarks requires a coordinate transformation that maps landmark locations in one image to corresponding locations in a second image. The development of an approach to this coordinate transformation, called the elastic body spline (EBS), is outlined. The spline is used to match 3D magnetic resonance images (MRIs) of the breast that are used in the diagnosis and evaluation of breast cancer. The elastic body spline is compared to an affine transformation and the thin plate spline. For breast MRIs, the EBS is found to have superior performance as assessed by several measures of the similarity of the matched images

Keywords

biomedical imaging; image matching; medical image processing; splines (mathematics); 3D image matching; 3D magnetic resonance images; affine transformation; breast MRIs; breast cancer; elastic body splines; image matching scheme; landmarks; thin plate spline; Anatomy; Biological materials; Biomedical imaging; Breast cancer; Image matching; Magnetic resonance; Magnetic resonance imaging; Mechanical factors; Mechanical splines; Physics;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision, 1995. Proceedings., International Symposium on

Conference_Location

Coral Gables, FL

Print_ISBN

0-8186-7190-4

Type

conf

DOI

10.1109/ISCV.1995.477004

Filename

477004