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http://dx.doi.org/10.7583/JKGS.2015.15.2.159

3D Adaptive Bilateral Filter for Ultrasound Volume Rendering  

Kim, Min-Su (Dept. of Computer Science and Information Engineering, Inha University)
Kwon, Koojoo (Dept. of Computer Science and Information Engineering, Inha University)
Shin, Byeoung-Seok (Dept. of Computer Science and Information Engineering, Inha University)
Publication Information
Journal of Korea Game Society / v.15, no.2, 2015 , pp. 159-168 More about this Journal
Abstract
This paper introduces effective noise removal method for medical ultrasound volume data. Ultrasound volume data need to be filtered because it has a lot of noise. Conventional 2d filtering methods ignore information of adjacent layers and conventional 3d filtering methods are slow or have simple filter that are not efficient for removing noise and also don't equally operate filtering because that don't take into account ultrasound' sampling character. To solve this problem, we introduce method that fast perform in parallel bilateral filtering that is known as good for noise removal and adjust proportionally window size depending on that's position. Experiments compare noise removal and loss of original data among average filtered or biliteral filtered or adaptive biliteral filtered ultrasound volume rendering images. In this way, we can more efficiently and correctly remove noise of ultrasound volume data.
Keywords
Ultrasound Volume data; Bilateral Filtering; Adaptive Filtering;
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