Spatial based polynomial 2D-warping-a possibility to reduce interindividual variations in functional neuroimaging?

Author

Lohmann, K. ; Staak, S. ; Gundelfinger, E.D. ; Hess, A.

Author_Institution

Fed. Inst. for Neurobiol., Magdeburg, Germany

Volume

3

fYear

1996

fDate

16-19 Sep 1996

Firstpage

739

Abstract

As an approach to reduce the variation in functional brain images between different individuals we tested different methods for an elastic image deformation by polynomial warping. The polynomials vary in degree and number and distribution of the grid-points. The computations show that image warping with second degree polynomials and equally distributed grid-points increases most efficiently the similarity of shape and gray-values in the images whereas the tested higher degree polynomials are not useful

Keywords

X-ray imaging; biology computing; brain; medical image processing; neurophysiology; polynomials; radiography; Mongolian gerbils; X-ray; elastic image deformation; equally distributed grid-points; functional brain images; functional neuroimaging; gray-values; grid points distribution; image warping; interindividual variations reduction; polynomial degree; second degree polynomials; shape similarity; spatial based polynomial 2D warping; Brain; Digital images; Distributed computing; Grid computing; Magnetic resonance imaging; Neuroimaging; Pixel; Polynomials; Shape; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560801

Filename

560801