血管分割可视化中的快速交互型体渲染方法

TP3; Medical diagnosis software and computer-assisted surgical systems often use segmented image data to help clinicians make decisions. The segmentation extracts the region of interest from the background, which makes the visualization clearer. However, no segmentation method can guarantee accurate...

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Bibliographic Details
Published in上海大学学报(英文版) Vol. 12; no. 3; pp. 240 - 248
Main Authors MAXIME Guilbot, 杨新
Format Journal Article
LanguageChinese
Published Institute of Image Processing and Patten Recognition, Shanghai Jiaotong University, Shanghai 200240, P. R. China 2008
Subjects
volume rendering
coronary vessels segmentation
graphic processing uint (GPU)
segmentation error detection
texture shader
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Summary:TP3; Medical diagnosis software and computer-assisted surgical systems often use segmented image data to help clinicians make decisions. The segmentation extracts the region of interest from the background, which makes the visualization clearer. However, no segmentation method can guarantee accurate results under all circumstances. As a result, the clinicians need a solution that enables them to check and validate the segmentation accuracy as well as displaying the segmented area without ambiguities.With the method presented in this paper, the real CT or MR image is displayed within the segmented region and the segmented boundaries can be expanded or contracted interactively. By this way, the clinicians are able to check and validate the segmentation visually and make more reliable decisions. After experiments with real data from a hospital, the presented method is proved to be suitable for efficiently detecting segmentation errors. The new algorithm uses new graphic processing uint (GPU) shading functions re
ISSN:1007-6417