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130022

Applying Image Fusion Techniques for Detection of Acute Intra-Cerebral Hemorrhage.

Article

Last updated: 22 Jan 2023

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Subjects

-

Tags

Electronics and Communications Engineering

Abstract

Image fusion is the process by which two or more images are combined into a single image retaining the important (calories from each of the original images. Il aims at the integration of complementary data to enhance the information apparent in the images as well as to increase the reliability of the interpretation The successful fusion of images acquired from different modalitics or instruments is of great importance in many applications such as medical imaging, microscopic imaging, remote sensing, computer vision, and robotics. In the present work, four different image fusion techniques were implemented and applied to Computed Tomography (CT) and Magnetic Resonance imaging (MRI). These are the Laplacian Pyramid, the Wavelet Transform, the Computationally Efficient Pixel-level Image Fusion (CEMI) method, and the Spatial Frequency Multi-Focus Technique (SFMFT). Fusion results were evaluated according to three measures of performance; the entropy, the cross entropy and the spatial frequency. Image fusion techniques were applied to facilitate detection of acute intra-cerebral hemorrhage by fusing MRI and CT images at the same level. The fused images had led to higher detection accuracy than using either CT or MR images. 

DOI

10.21608/bfemu.2020.130022

Keywords

image fusion, Laplacian pyramid, CEMIF, Spatial Frequency, CT, MRI, intra-cerebral hemorrhage

Authors

First Name

Hossam El Din

Last Name

Moustafa

MiddleName

-

Affiliation

Communications and Electronics Engineering Department Faculty of Engineering, Mansoura University Mansoura, EGYPT 35516

Email

-

City

Mansoura

Orcid

-

First Name

Sameh

Last Name

Rehan

MiddleName

-

Affiliation

Communications and Electronics Engineering Department Faculty of Engineering, Mansoura University Mansoura, EGYPT 35516

Email

sameh_rehan@ieee.org

City

Mansoura

Orcid

-

Volume

31

Article Issue

3

Related Issue

19224

Issue Date

2006-09-01

Receive Date

2006-07-11

Publish Date

2020-12-15

Page Start

34

Page End

44

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 31_Issue 3_Pages 34-44.pdf

PDF . 523.4kB

Link

https://bfemu.journals.ekb.eg/article_130022.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=130022

Order

6

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023