A Review on Image Segmentation Techniques for MRI Brain Stroke Lesion

Authors

  • Norhashimah Mohd Saad Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Malaysia
  • Nor Shahirah Mohd Noor Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Malaysia
  • Abdul Rahim Abdullah Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Malaysia

Keywords:

Magnetic Resonance Imaging, Segmentation, Stroke

Abstract

One of the major categories of brain disorders is known as stroke, which it can affect the entire body. The ability to recover from a stroke depends on the severity of the stroke and how quickly the patients receive the medical treatment. Conventionally, the diagnosis of brain stroke is performed manually by professional neuroradiologists during a highly subjective and time-consuming process. This paper reviewed the techniques for automatic magnetic resonance imaging of brain lesions segmentation. The proposed review is important to identify more robust and accurate technique in segmenting the brain stroke lesion for computer-aided diagnosis. This could be an opportunity for the medical and engineering to collaborate in designing a complete end-to-end automated framework in detecting and segmenting stroke lesions. 

Downloads

Published

2021-12-31

How to Cite

Mohd Saad, N., Mohd Noor, N. S. ., & Abdullah, A. R. (2021). A Review on Image Segmentation Techniques for MRI Brain Stroke Lesion. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 13(4), 27–34. Retrieved from https://jtec.utem.edu.my/jtec/article/view/6145

Issue

Vol. 13 No. 4 (2021): October - December 2021

Section

Articles

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.