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| PSO-based Medical Image Processing for Kienb\"ock Biomechanical Analysis |
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Abstract Through the lunate bone biomechanical analysis can be used for
kienb\"ock medical diagnosis and treatment. The pressure sensitive
film can reflect intuitively the stress of lunate bone's each point.
This paper obtains stress analysis of lunate bone based on PSO
(Particle Swarm Optimization) algorithm's image analysis and
processing of pressure sensitive film. The paper uses the grayscale
function to change a target image into the grayscale image, and uses
the PSO algorithm for function optimization to segment image with
the original image. Then we obtain remaining achieving gray value,
and calculate the pressure. Through the analysis of the experimental
data, we obtain the maximum value, minimum value and average value
of the pressure. The analysis of processing results showed that the
PSO algorithm could segment the image accurately and the remaining
larger pixel gray values concentrated in the three fossa of lunate
bone. The results verify the accuracy and efficiency of the method.
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| Cite this article: |
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Xiaoyan Jia,Jindong Zhang,Bin Liu, et al. PSO-based Medical Image Processing for Kienb\"ock Biomechanical Analysis[J]. Journal of Fiber Bioengineering and Informatics, 2015, 8(4): 697-704.
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2015, Vol. 8 
