A Review of Brain MRI Image Enhancement Techniques

DOI

10.2991/978-94-6463-252-1_15How to use a DOI?

Keywords

Enhancement methods; Brain MR image; noise reduction; performance parameter

Abstract

An important step in analyzing information about brain images is image processing. Electromagnetic resonance imaging (MRI) images constitute essential details that the clinicians need to detect disease and make the suitable treatment. To improve the quality of the input images, image preprocessing is the initial stage in image processing technology. Artifact removal, skull removal, noise reduction, and image quality enhancement are among the image preprocessing steps. Images need to be processed to quickly detect tumors. The aim of this study is to provide an overview of present techniques for improving the feature of MRI images and to determine the advantages and disadvantage of every technique for further advance tumor detection. Considering the advantages and disadvantages of each approach, the ideal way to treat a variety of different cases will be chosen. After a brief introduction, a table summarizing each method is presented. In this study, the intensification (INT) operator was found to be the best preprocessing technique for the clinical dataset with the maximum PSNR value of 100 and the lowest RMSE value of 0.0747. Meanwhile, the Non-Local Means Filter has the minimum Mean- square error value of 0.0250 among the other enhancement techniques for the clinical datasets.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Raghu Amgothu
PY  - 2023
DA  - 2023/11/09
TI  - A Review of Brain MRI Image Enhancement Techniques
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 126
EP  - 134
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_15
DO  - 10.2991/978-94-6463-252-1_15
ID  - Amgothu2023
ER  -