Multiple-isovalue selection by clustering gray values of the boundary surfaces within volume image

Lisheng Wang; PhengAnn Heng; TienTsin Wong; Jing Bai

doi:10.1117/12.467078

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

Proceedings Volume 4684, Medical Imaging 2002: Image Processing; (2002) https://doi.org/10.1117/12.467078
Event: Medical Imaging 2002, 2002, San Diego, California, United States

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.

Citation Download Citation

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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