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Speckle Noise Diffusion in Knee Articular Cartilage Ultrasound Images
Journal
Current Medical Imaging Formerly Current Medical Imaging Reviews
ISSN
1573-4056
Date Issued
2020-07-27
Author(s)
Muhammad Ali Shoaib
Md Belayet Hossain
Joon Huang Chuah
Maheza Irna Mohd Salim
Khin Wee Lai
DOI
https://doi.org/10.2174/1573405615666190903143330
Abstract
<jats:sec>
<jats:title>Background:</jats:title>
<jats:p>Ultrasound (US) imaging can be a convenient and reliable substitute for
magnetic resonance imaging in the investigation or screening of articular cartilage injury. However,
US images suffer from two main impediments, i.e., low contrast ratio and presence of speckle
noise.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Aims:</jats:title>
<jats:p>A variation of anisotropic diffusion is proposed that can reduce speckle noise without compromising
the image quality of the edges and other important details.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Methods:</jats:title>
<jats:p>For this technique, four gradient thresholds were adopted instead of one. A new diffusivity
function that preserves the edge of the resultant image is also proposed. To automatically
terminate the iterative procedures, the Mean Absolute Error as its stopping criterion was implemented.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Results:</jats:title>
<jats:p>Numerical results obtained by simulations unanimously indicate that the proposed method
outperforms conventional speckle reduction techniques. Nevertheless, this preliminary study
has been conducted based on a small number of asymptomatic subjects.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Conclusion:</jats:title>
<jats:p> Future work must investigate the feasibility of this method in a large cohort and its
clinical validity through testing subjects with a symptomatic cartilage injury.</jats:p>
</jats:sec>
<jats:title>Background:</jats:title>
<jats:p>Ultrasound (US) imaging can be a convenient and reliable substitute for
magnetic resonance imaging in the investigation or screening of articular cartilage injury. However,
US images suffer from two main impediments, i.e., low contrast ratio and presence of speckle
noise.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Aims:</jats:title>
<jats:p>A variation of anisotropic diffusion is proposed that can reduce speckle noise without compromising
the image quality of the edges and other important details.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Methods:</jats:title>
<jats:p>For this technique, four gradient thresholds were adopted instead of one. A new diffusivity
function that preserves the edge of the resultant image is also proposed. To automatically
terminate the iterative procedures, the Mean Absolute Error as its stopping criterion was implemented.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Results:</jats:title>
<jats:p>Numerical results obtained by simulations unanimously indicate that the proposed method
outperforms conventional speckle reduction techniques. Nevertheless, this preliminary study
has been conducted based on a small number of asymptomatic subjects.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Conclusion:</jats:title>
<jats:p> Future work must investigate the feasibility of this method in a large cohort and its
clinical validity through testing subjects with a symptomatic cartilage injury.</jats:p>
</jats:sec>
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