TELKOMNIKA Telecommunication, Computing, Electronics and Control
Detection of brain stroke in the MRI image using FPGA

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Detection of brain stroke in the MRI image using FPGA

FPGA
Image processing
Median filter
Morphological filters

One of the most important difficulties which doctors face in diagnosing is the
analysis and diagnosis of brain stroke in magnetic resonance imaging (MRI)
images. Brain stroke is the interruption of blood flow to parts of the brain that
causes cell death. To make the diagnosis easier for doctors, many researchers
have treated MRI images with some filters by using Matlab program to
improve the images and make them more obvious to facilitate diagnosis by
doctors. This paper introduces a digital system using hardware concepts to
clarify the brain stroke in MRI image. Field programmable gate arrays (FPGA)
is used to implement the system which is divided into four phases:
preprocessing, adjust image, median filter, and morphological filters
alternately. The entire system has been implemented based on Zynq FPGA
evaluation board. The design has been tested on two MRI images and the
results are compared with the Matlab to determine the efficiency of the
proposed system. The proposed hardware system has achieved an overall good
accuracy compared to Matlab where it ranged between 90.00% and 99.48%.

Dheyaa Alhelal, Ahmed Khazal Younis, Ruaa H. Ali Al-Mallah

http://journal.uad.ac.id/index.php/TELKOMNIKA

Jan 20, 2021

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