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http://dx.doi.org/10.9717/kmms.2013.16.2.147

Adaptive Weight Adjusted Catmull-Rom Spline Interpolation Based on Pixel Intensity Variation for Medical Imaging Volume Visualization  

Lee, Hae-Na (연세대학교 일반대학원 의과학과)
Yoo, Sun K. (연세대학교 의과대학 의학공학교실)
Publication Information
Journal of Korea Multimedia Society / v.16, no.2, 2013 , pp. 147-159 More about this Journal
Abstract
In medical visualization, volume visualization is widely used. Applying 3D images to diagnose requires high resolution and accurately implement visualization techniques are being researched accordingly. However, when a three-dimensional image volume visualization is implemented using volume data, aliasing will occur since using discrete data. Supersampling method, getting lots of samples, is used to reduce artifacts. One of the supersampling methods is Catmull-rom spline. This method calculates accurate interpolation value because it is easy to compute and pass through control points. But, Catmull-rom spline method occurs overshoot or undershoot in large gradient of pixel values. So, interpolated values are different from original signal. In this paper, we propose an adaptive adjusting weights interpolation method using Gaussian function. Proposed method shows that overshoot is reduced on the point has a large gradient and PSNR is higher than other interpolated image results.
Keywords
tension control; interpolation; medical image analysis; gaussian distribution;
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Times Cited By KSCI : 1  (Citation Analysis)
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