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http://dx.doi.org/10.9718/JBER.2006.27.1.006

Fast Volume Visualization Techniques for Ultrasound Data  

Kwon Koo-Joo (Department of Computer Science and Information Engineering, Inha University)
Shin Byeong-Seok (Department of Computer Science and Information Engineering, Inha University)
Publication Information
Journal of Biomedical Engineering Research / v.27, no.1, 2006 , pp. 6-13 More about this Journal
Abstract
Ultrasound visualization is a typical diagnosis method to examine organs, soft tissues and fetus data. It is difficult to visualize ultrasound data because the quality of the data might be degraded by artifact and speckle noise, and gathered with non-linear sampling. Rendering speed is too slow since we can not use additional data structures or procedures in rendering stage. In this paper, we use several visualization methods for fast rendering of ultrasound data. First method, denoted as adaptive ray sampling, is to reduce the number of samples by adjusting sampling interval in empty space. Secondly, we use early ray termination scheme with sufficiently wide sampling interval and low threshold value of opacity during color compositing. Lastly, we use bilinear interpolation instead of trilinear interpolation for sampling in transparent region. We conclude that our method reduces the rendering time without loss of image quality in comparison to the conventional methods.
Keywords
ultrasound volume data; adaptive ray sampling; space leaping;
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