Interpolation methods used in MIPAV

From MIPAV
Revision as of 19:20, 7 May 2012 by Olgavovk (Talk)

Jump to: navigation, search

This article is a stub. It needs improvement.


The registration and transformation algorithms implemented in MIPAV resampes images (if needed) using an interpolation scheme, where anisotropic voxels (or pixels for 2D images) are resampled into isotropic 1 mm cubic voxels. New voxel values are computed using a weighted combination of existing voxel values within a defined neighborhood of the new voxel location. The following interpolation methods are available in this implementation of the registration technique, including Bilinear, Trilinear, B-spline 3-rd order, B-spline 4-th order, Cubic Lagrangian, Quintic Lagrangian, Heptic Lagrangian, and Windowed sinc.


Bilinear Interpolation

Bilinear interpolation considers the closest 2x2 neighborhood of known pixel values surrounding the unknown pixel. It then takes a weighted average of these 4 pixels to arrive at its final interpolated value. This results in smoother looking images.

See also: Optimized automatic registration 3D

Retrieved from "http://mipav.cit.nih.gov/pubwiki/index.php?title=Interpolation_methods_used_in_MIPAV&oldid=41312"