Registration of Brain Images using Fast Walsh Hadamard Transform

TL;DR

This paper introduces a medical image registration method using Fast Walsh Hadamard transform, which improves speed and reliability over traditional Walsh transform techniques, especially for images of different modalities.

Contribution

The paper presents a novel application of Fast Walsh Hadamard transform for efficient and reliable medical image registration across various modalities.

Findings

Fast Walsh Hadamard transform outperforms conventional Walsh transform in speed.

The method achieves better registration accuracy.

It is more reliable and less time-consuming.

Abstract

A lot of image registration techniques have been developed with great significance for data analysis in medicine, astrophotography, satellite imaging and few other areas. This work proposes a method for medical image registration using Fast Walsh Hadamard transform. This algorithm registers images of the same or different modalities. Each image bit is lengthened in terms of Fast Walsh Hadamard basis functions. Each basis function is a notion of determining various aspects of local structure, e.g., horizontal edge, corner, etc. These coefficients are normalized and used as numerals in a chosen number system which allows one to form a unique number for each type of local structure. The experimental results show that Fast Walsh Hadamard transform accomplished better results than the conventional Walsh transform in the time domain. Also Fast Walsh Hadamard transform is more reliable in medical image registration consuming less time.