Paper
9 May 2002 Multiple-isovalue selection by clustering gray values of the boundary surfaces within volume image
Lisheng Wang, PhengAnn Heng, TienTsin Wong, Jing Bai
Author Affiliations +
Abstract
In medical visualization, multiple isosurfaces are usually extracted from medical volume image and used to represent (approximate) the boundary surfaces of different structures in the image. In this paper, we will discuss the approximating problem of the boundary surface (contained within volume image) by isosurface. It is quite common that a medical volume image can contain multiple interesting structures; we present a novel approach for the selection of multiple isosurfaces to approximate the boundary surfaces of these multiple structures. With this approach, the discrete sampling points of the gray values of the boundary surfaces within volume image are computed first. Then by identifying appropriate clusters from the discrete sampling points and computing the mean of each cluster, we can determine the corresponding isosurfaces for approximating these multiple boundary surfaces.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lisheng Wang, PhengAnn Heng, TienTsin Wong, and Jing Bai "Multiple-isovalue selection by clustering gray values of the boundary surfaces within volume image", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467078
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Medical imaging

Skull

Image visualization

Image processing

Edge detection

Head

Visualization

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