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

Integration of supplemental data from several imaging methods depends critically on medical image 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.

المراجع

1. Kaushik Pratim Das and Chandra J., "Multimodal Classification on PET/CT Image Fusion for Lung Cancer: A Comprehensive Survey," ECS Transactions, vol. 107, pp. 3649–3673, 2022.

2. Mateusz C. Florkow, Koen Willemsen, Vasco V. Mascarenhas, et al., "Magnetic Resonance Imaging Versus Computed Tomography for Three-Dimensional Bone Imaging of Musculoskeletal Pathologies: A Review," J. Magn. Reson. Imaging, vol.56, pp. 11–34,2022.

3. Manoj Diwakar, Amrendra Tripathi, Kapil Joshi, et al., "A Comparative Review: Medical Image Fusion Using SWT and DWT," Materials Today Proceedings, vol. 37, pp.1–6, 2020.

4. Shrouk A. El-Masry, Shady Y. El-Mashad, et al., "Hybrid Medical Image Fusion Based on Fast Filtering and Wavelet Analysis," Ninth IEEE International Conference on Intelligent Computing and Information Systems (ICICIS), pp. 172–178, 2019.

5. Shraddha P. Diwalkar and S.M. Hanbarde, "Development & Analysis of 2D Medical Image Fusion Using Wavelets," International Journal for Research in Applied Science & Engineering Technology (IJRASET), vol. 9, pp. 792–799, 2021.

6. N. J. Habeeb, "Performance Enhancement of Medical Image Fusion Based on DWT and Sharpening Wiener Filter," Jordanian Journal of Computers and Information Technology (JJCIT), vol. 7, pp. 118–129, 2021.

7. Hadi Hadi and Ziad Mohammed, "Fusion of The Multimodal Medical Images To Enhance The Quality Using Discrete Wavelet Transform," The Fourth Postgraduate Engineering Conference, pp. 1–10, 2020.

8. Sara U., Akter M., and Uddin M., "Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study," Journal of Computer and Communications, vol.7, no.3, pp.8–18, 2019.

9. Jinu Sebastian and G. R. Gnana King, "Comparative Analysis and Fusion of MRI and PET Images Based on Wavelets for Clinical Diagnosis," International Journal of Electronics and Telecommunications, vol. 68, no. 4, pp. 867–873, 2022.

التنزيلات

منشور

2025-11-09

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/274