An Optimization Method For Slice Interpolation Of Medical Images
This work addresses slice interpolation for medical image processing, but it appears incremental as it builds on existing curvature-based registration methods.
The authors tackled the problem of slice interpolation in medical images by proposing an object-oriented optimization method based on modified curvature-based image registration, which achieved quantitative improvements measured by Mean Squared Difference and visual enhancement in preserving sharp edges.
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.