Image Contrast Improvement in Image Fusion between CT and MRI images of Brain Cancer Patients

Authors

  • Annisa Tenri Maya  Departement of Physics, Faculty of Science and Mathematics, Diponegoro University, Semarang, Indonesia
  • Suryono Suryono  Departement of Physics, Faculty of Science and Mathematics, Diponegoro University, Semarang, Indonesia
  • Choirul Anam  Departement of Physics, Faculty of Science and Mathematics, Diponegoro University, Semarang, Indonesia

DOI:

https://doi.org/10.32628/IJSRST218110

Keywords:

Image fusion, dice coefficient, SNR, CNR

Abstract

Medical image fusion has been carried out to obtain information benefits from multi-modalities of medical images. The purpose of this study is to improve the image contrast of fusion image with adaptive method. The median filter was implemented to the images before registration to remove noise for obtaining good image fusion. Geometric transformation-based image registration was used to automatically align two images of computed tomography (CT) scanner and magnetic resonance imaging (MRI) to a common coordinate system. After that, the image contrast was improved with adaptive method. Finally, the fused image was assessed using the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). From this study, it was found that the average SNR value in the image fusion before contrast improvement is 0.09 and after that is 0.73. While the average CNR value in image fusion before contrast improvement is 1.54 and after that is 1.79. It means that the CNR increases 14.02%.

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International Journal of Scientific Research in Science and Technology

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Published

2021-02-28

Issue

Volume 8, Issue 1, January-February-2021

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Annisa Tenri Maya, Suryono Suryono, Choirul Anam "Image Contrast Improvement in Image Fusion between CT and MRI images of Brain Cancer Patients" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 1, pp.104-110, January-February-2021. Available at doi : https://doi.org/10.32628/IJSRST218110