Citation

Ti Chan, Wai (2023) Noise Estimation for MRI Images with Revised Theory on Histograms of Second-order Derivatives. International Journal on Robotics, Automation and Sciences, 5 (1). pp. 6-12. ISSN 2682-860X

Text (Noise Estimation for MRI Images with Revised Theory on Histograms of Second-order Derivatives) 362 - Published Version Restricted to Repository staff only Download (2kB)

Abstract

Previous research by the author in the use of histograms of second-order derivatives showed that the differences between pixels in MRI images can be determined without referring to the ground truth for the purpose of noise reduction. Yet, the results of the previous research also showed that the methodologies used could not prevent false positives and negatives. A technique has been developed to involve multiple conditions that utilize the statistics of the histograms and the circumstances of neighbours in the vicinity of a pixel. The confusion matrix for this method shows that the technique has marginal but consistent improvement across the noise levels that are tested, compared to prior methods.

Item Type:	Article
Uncontrolled Keywords:	second-order derivatives, histograms, Laplace curves, MRI images, confusion matrix, noise estimation
Subjects:	R Medicine > R Medicine (General) > R856-857 Biomedical engineering. Electronics. Instrumentation
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Mr. MUHAMMAD AZRUL MOSRI
Date Deposited:	04 Sep 2024 02:51
Last Modified:	04 Sep 2024 02:51
URII:	http://shdl.mmu.edu.my/id/eprint/12959

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