Isosurfaces computation for approximating boundary surfaces within three-dimensional images

Lisheng Wang; Jing Bai; Tien-Tsin Wong; Pheng-Ann Heng

doi:10.1117/1.2712451

1 January 2007 Isosurfaces computation for approximating boundary surfaces within three-dimensional images

Lisheng Wang, Jing Bai, Tien-Tsin Wong, Pheng-Ann Heng

Author Affiliations +

Journal of Electronic Imaging, Vol. 16, Issue 1, 013011 (January 2007). https://doi.org/10.1117/1.2712451

Abstract

In the visualization of three-dimensional (3D) images, specific isosurfaces are usually extracted from 3D images and used to represent (approximate) boundary surfaces of certain structures within 3D images. In order to well approximate the boundary surfaces of these structures, it is important to determine a good isosurface for each boundary surface. An isosurface is said to be a good isosurface of a boundary surface if it can approximate the boundary surface with the smallest error under certain error measuring criteria. The mathematical model describing the approximation problem of a boundary surface by isosurfaces is constructed and studied. The method used to deduce good isosurfaces for the boundary surfaces within 3D discrete images is presented. The proposed method is illustrated by examples with different real 3D biomedical images.

©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Lisheng Wang, Jing Bai, Tien-Tsin Wong, and Pheng-Ann Heng "Isosurfaces computation for approximating boundary surfaces within three-dimensional images," Journal of Electronic Imaging 16(1), 013011 (1 January 2007). https://doi.org/10.1117/1.2712451

Published: 1 January 2007

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available