Enhancing Brain Tumor Diagnosis through MRI-CT Image Fusion: A Comparative Study of DWT and SWT Techniques Using Wavelet Families

Authors

  • Nisreen Aboulqasim Alrujeebi Department of Electrical and Electronic Engineering, Faculty of Engineering, University of Zawia Author
  • Fathi Omar Hareb Department of Medical Engineering, Libyan Academy for Postgraduate Studies Author

Keywords:

Medical Image Fusion, Stationary Wavelet Transform (SWT), Discrete Wavelet Transform (DWT).

Abstract

fusion. Particularly aimed at brain tumor detection across four datasets, this study assesses and contrasts two wavelet based fusion techniques applied to fuse Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans: Discrete Wavelet Transform (DWT) and Stationary Wavelet Transform (SWT). Additionally examined in the study is how different wavelet families affect fusion performance. Based on PSNR, RMSE, and entropy measures, experimental results show that SWT based fusion consistently outperforms DWT based fusion, with the bior2.2 wavelet family providing the best performance.

Downloads

Download data is not yet available.

Downloads

Published

2025-09-25

How to Cite

Enhancing Brain Tumor Diagnosis through MRI-CT Image Fusion: A Comparative Study of DWT and SWT Techniques Using Wavelet Families. (2025). Comprehensive Journal of Science, 9(36), 55-60. https://cjos.histr.edu.ly/index.php/journal/article/view/139

Similar Articles

You may also start an advanced similarity search for this article.