Healthcare applications of intelligent information systems: A novel technique for medical image fusion

Ahed Abugabah, Zayed University
Ahmad Alsmadi, Xidian University

Document Type

Conference Proceeding

Source of Publication

ICT4AWE 2019 - Proceedings of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health

Publication Date

1-1-2019

Abstract

Copyright © 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved This paper executes a novel methodology of medical image fusion depending on two kinds of linear filters. The first filter is mean filter which is utilized to decay the source images to base and detail layers. The local linear filter (guided filter) is utilized to upgrade the source images from one another. Computed-Tomography (CT) images before and after freezing are being used to improve the corresponding data which lead to the right diagnosis. Likewise, examples from human magnetic resonance imaging (MRI) images are utilized to fused T1 and T2 of MRI images together. The fusion result is assessed dependent on standard deviation (Std), peak signal to noise ratio (PSNR), mutual information (MI), root mean square error (RMSE), and universal image quality indexes (UIQI). The combination result is contrasted and three existing combination rules. Hence, the numerical outcomes perform better execution among other combination rules.

ISBN

9789897583681

Publisher

SciTePress

First Page

333

Last Page

337

Disciplines

Computer Sciences

Keywords

CT Images, Medical Image Fusion, MRI Images

Scopus ID

85067510301

Indexed in Scopus

yes

Open Access

no

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