INTERPOLATION ARTIFACTS IN BIOMEDICAL IMAGE REGISTRATION

Author

Rohde, G.K. ; Healy, D.M. ; Berenstein, C.A. ; Aldroubi, A.

Author_Institution

Dept. of Biomed. Eng., Carnegie Mellon Univ., Pittsburgh, PA

fYear

2007

fDate

12-15 April 2007

Firstpage

648

Lastpage

651

Abstract

We identify a cause for interpolation artifacts in objective functions by observing that the energy of interpolated and translated l ₂ sequences oscillates with respect to the translation parameter. Using the B-spline interpolation framework, we show that such oscillations in the energy of the signals affect the sum of squared differences, cross correlation, and mutual information objective functions. We describe several approaches that can be used to avoid interpolation artifacts (such as higher degree interpolation, as well as stochastic sampling) and explain in detail why these are effective in eliminating the artifacts

Keywords

Monte Carlo methods; cellular biophysics; correlation methods; image registration; image sampling; interpolation; medical image processing; splines (mathematics); stochastic processes; B-spline interpolation framework; Monte Carlo integration; artifact elimination; biomedical image registration; cross correlation; higher degree interpolation; interpolated l₂ sequences; interpolation artifacts; microtubular structure; mutual information; objective functions; stochastic sampling; translated l₂ sequences; Biomedical engineering; Biomedical imaging; Educational institutions; Image registration; Image sampling; Interpolation; Mathematics; Monte Carlo methods; Mutual information; Spline;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on

Conference_Location

Arlington, VA

Print_ISBN

1-4244-0672-2

Electronic_ISBN

1-4244-0672-2

Type

conf

DOI

10.1109/ISBI.2007.356935

Filename

4193369