Effects of Magnetic Resonance Image Interpolation on the Results of Texture-Based Pattern Classification

Abstract

MR image interpolation has the potential to improve the results of pattern classification, based on COC, RUN, and GRA features. Unless spatial resolution is very poor, zero-filling is the interpolation technique of choice, with a recommended maximum interpolation factor of 4.