Paper
8 July 1994 Computerized tomographic angiography image segmentation for 3D-volume reconstruction
Author Affiliations +
Abstract
A computerized scheme for the automated segmentation of contrast enhanced arteries is developed for computerized tomographic angiography (CTA) data. Segmentation is performed with two-dimensional (2D) images on a slice-by-slice base. Image processing techniques include gray-level thresholding, eight-point connectivity tracking, region growing, moment analysis and morphological erosion. The results enable the generation of separated three-dimensional (3D) displays of both vascular and non-vascular structures. The method has been applied to several clinical cases and has shown great promises.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yun Liang and Robert A. Kruger "Computerized tomographic angiography image segmentation for 3D-volume reconstruction", Proc. SPIE 2299, Mathematical Methods in Medical Imaging III, (8 July 1994); https://doi.org/10.1117/12.179256
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Arteries

Angiography

Bone

Image processing

Tissues

X-ray computed tomography

Back to Top