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All Journal International Journal of Electrical and Computer Engineering
Dina Mohammed Sherif El-Torky
Ain Shams University
Computer Science & IT Electrical & Electronics Engineering

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Brain tumor visualization for magnetic resonance images using modified shape-based interpolation method Dina Mohammed Sherif El-Torky; Mohamed Ismail Roushdy; Maryam Nabil Al-Berry; Mohammed Abd El-Mageed Salem
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i3.pp2553-2563

Abstract

3D visualization plays an essential role in medical diagnosis and setting treatment plans especially for brain cancer. There have been many attempts for brain tumor reconstruction and visualization using various techniques. However, this problem is still considered unsolved as more accurate results are needed in this critical field. In this paper, a sequence of 2D slices of brain magnetic resonance Images was used to reconstruct a 3D model for the brain tumor. The images were automatically segmented using a wavelet multi-resolution expectation maximization algorithm. Then, the inter-slice gaps were interpolated using the proposed modified shape-based interpolation method. The method involves three main steps; transferring the binary tumor images to distance images using a suitable distance function, interpolating the distance images using cubic spline interpolation and thresholding the interpolated values to get the reconstructed slices. The final tumor is then visualized as a 3D isosurface. We evaluated the proposed method by removing an original slice from the input images and interpolating it, the results outperform the original shape-based interpolation method by an average of 3% reaching 99% of accuracy for some slice images.
Co-Authors Maryam Nabil Al-Berry Mohamed Ismail Roushdy Mohammed Abd El-Mageed Salem