A Hybrid Framework for Advanced Statistical Modeling and Bias Correction of Rician Noise Distributions in MRI Images Using a Hybrid Proposed Technique
DOI:
https://doi.org/10.62933/srw51228Keywords:
Image Classification,, Image Denoising,, Rician Noise Distribution,, MRI Image Denoising,, Hybrid Statistical Framework,Abstract
Magnetic Resonance Imaging (MRI) is a fundamental diagnostic tool;however,the reconstruction of magnitude images inherently introduces Rician noise,which causes a signal-dependent positive bias that obscures fine anatomical details and compromises quantitative analysis.this papar proposes a robust hybrid framework designed for advanced statistical modeling and bias correction to address these challenges.the methodology integrates four pivotal techniques:Maximum Likelihood Estimator (MLE)for precise noise parameter identification,
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Copyright (c) 2026 Reem Tallal Kamil (Author)
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