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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Principal Component Analysis Based Hybrid Speckle Noise Reduction Technique for Medical Ultrasound Imaging
Digital Object Identifier (DOI) : 10.14569/IJACSA.2022.0131256
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 12, 2022.
Abstract: Ultrasound imaging is the safest and most widely used medical imaging technique available today. The main disadvantage of ultrasound imaging is the presence of speckle noise in its images that may obscure pathological changes in the body and makes diagnosis more challenging. Therefore, many techniques were proposed to reduce speckle and improve image quality. Unfortunately, variations of their performance with different scan parameters and due to their methodologies make it hard to choose which one to adopt in clinical practice. In this work, we consider the problem of combining the information from multiple speckle filters and propose the use of principal component analysis to find the optimal set of weights that would retain the most information and hence would better represent the data in the final image. The new technique is implemented to process ultrasound images collected from a research system and the outcomes are compared to the individual techniques and their average using quantitative image quality metrics. The proposed technique has potential for utilization in clinical settings to provide consistently better-quality combined images that may help improve diagnostic accuracy.
Keywords: Image quality metrics; principal component analysis; speckle reduction; ultrasound imaging
Yasser M. Kadah, Ahmed F. Elnokrashy, Ubaid M. Alsaggaf and Abou-Bakr M. Youssef, “Principal Component Analysis Based Hybrid Speckle Noise Reduction Technique for Medical Ultrasound Imaging” International Journal of Advanced Computer Science and Applications(IJACSA), 13(12), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0131256
@article{Kadah2022,
title = {Principal Component Analysis Based Hybrid Speckle Noise Reduction Technique for Medical Ultrasound Imaging},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0131256},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0131256},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {12},
author = {Yasser M. Kadah and Ahmed F. Elnokrashy and Ubaid M. Alsaggaf and Abou-Bakr M. Youssef}
}
