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

المؤلفون

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

الكلمات المفتاحية:

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

الملخص

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.

التنزيلات

تنزيل البيانات ليس متاحًا بعد.

التنزيلات

منشور

2025-09-25

كيفية الاقتباس

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

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