An Optimization Method For Slice Interpolation Of Medical Images

TL;DR

This paper introduces an object-oriented optimization approach for slice interpolation in medical images, utilizing a modified curvature-based registration to accurately estimate missing slices and improve edge preservation.

Contribution

It presents a novel optimization method based on curvature-based registration for slice interpolation, enhancing image sharpness and accuracy in medical imaging.

Findings

Quantitative evaluation with MSD shows improved accuracy.

Visual results demonstrate better edge preservation.

Method outperforms traditional interpolation techniques.

Abstract

Slice interpolation is a fast growing field in medical image processing. Intensity-based interpolation and object-based interpolation are two major groups of methods in the literature. In this paper, we describe an object-oriented, optimization method based on a modified version of curvature-based image registration, in which a displacement field is computed for the missing slice between two known slices and used to interpolate the intensities of the missing slice. The proposed approach is evaluated quantitatively by using the Mean Squared Difference (MSD) as a metric. The produced results also show visual improvement in preserving sharp edges in images.