Hierarchical σ-octree for visualization of ultrasound datasets

Authors:
Sukhyun Lim;Byeong-Seok Shin
Affiliations:
Dept. Computer Science and Information Engineering, Inha University, Inchon, Rep. of Korea;Dept. Computer Science and Information Engineering, Inha University, Inchon, Rep. of Korea
Venue:
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Year:
2006

Citing 16
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Abstract

There are two important factors to visualize ultrasound datasets using volume ray casting method. Firstly, efficient methods to skip over empty space are required. Secondly, adequate noise-detection methods are necessary because ultrasound datasets contain lots of speckle noises. In general, space-leaping and noise-filtering methods are exploited to solve the problems. However, it increases the preprocessing time to generate the filtered datasets, and interesting (meaningful) objects could be affected by a filtering operation. We propose a hierarchical octree containing min-max values and standard deviation for each block, named a hierarchical σ–octree. In rendering step, our method refers to min-max values of a block. If the block is regarded as nontransparent, it also checks its standard deviation value to detect speckle noises. Our method reduces rendering time compared with the method using only the min-max values because most blocks containing speckle noises are considered as transparent.