BRAIN TUMOR LOCALIZATION AND EXTRACTION ALGORITHM IN MRI IMAGES

Authors

  • Samar Amil Kassir
  • Israa Mohammed Hassoon
  • Dina Riadh Alshibani

Keywords:

Brain cancer, Skull Elimination, Mathematical Morphology Operation.

Abstract

This work present new algorithm of brain tumor localization and extraction. Depending on three methodologies: threshold segmentation, labeling, regiongrops and mathematical morphological operations; an efficient detection algorithm is proposed; for localizing and extracting (tumor-ROI) from patient’s MR Image of the brain, the proposed algorithm consists of four phases; after read gray MRI brain image first phase is image enhancement; second phase is skull elimination, the third is blobs detection and final one is (tumor-ROI) foreground extraction. The proposed algorithm tested on dataset of MRI Brain consists of 130 image with different tumor type and size.  In experiments the proposed algorithm has achieved high detection rates (97.6%) to localize and extract the (tumor-ROI).

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Published

2019-06-06

How to Cite

Amil Kassir, S. ., Mohammed Hassoon, I. ., & Riadh Alshibani, D. . (2019). BRAIN TUMOR LOCALIZATION AND EXTRACTION ALGORITHM IN MRI IMAGES. Mustansiriyah Journal for Sciences and Education, 20(5), 77–88. Retrieved from https://edumag.uomustansiriyah.edu.iq/index.php/mjse/article/view/674

Issue

Vol. 20 No. 5 (2019): Research Article

Section

Research Article