Efficient implementation of image fusion and interpolation for brain tumor diagnosis

In this paper, image fusion is applied on both magnetic resonance (MR) and computed tomography (CT) images to generate a single image with more details. The objective is to help specialists to detect brain tumors, accurately. In addition, this paper introduces a comparative study of various types of...

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Bibliographic Details
Published inJournal of optics (New Delhi) Vol. 53; no. 1; pp. 30 - 48
Main Authors Aly, Randa, El-Hag, Noha A., El-Shafai, Walid, Taha, Taha E., El-Samie, Fathi E. Abd, Hashad, Fatma G.
Format Journal Article
LanguageEnglish
Published New Delhi Springer India 01.02.2024
Springer Nature B.V
Subjects
Brain
Comparative studies
Computed tomography
Computer vision
Diagnosis
Image segmentation
Interpolation
Lasers
Magnetic resonance
Medical imaging
Optical Devices
Optics
Photonics
Physics
Physics and Astronomy
Research Article
Tumors
Brain tumor
Medical diagnosis
Image fusion
Image interpolation
Threshold segmentation
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Summary:In this paper, image fusion is applied on both magnetic resonance (MR) and computed tomography (CT) images to generate a single image with more details. The objective is to help specialists to detect brain tumors, accurately. In addition, this paper introduces a comparative study of various types of image fusion and interpolation techniques to help for better diagnosis of brain tumors. Then, threshold segmentation is used to detect the brain tumor region. Finally, a morphological operation is performed to shape the tumor region, regularly. The performance of the brain tumor segmentation process with all image fusion and interpolation techniques is evaluated, revealing high accuracy.
ISSN:0972-8821
0974-6900
DOI:10.1007/s12596-023-01159-0