Share Email Print

Journal of Electronic Imaging

Three-dimensional volume data segmentation using diffusion tensor-based superquadric analysis
Author(s): Sang Min Yoon
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A three-dimensional (3-D) segmentation technique is proposed, which separates the 3-D reconstructed volume data into several sub-regions having similar characteristics. This method is based on iteratively merging and splitting the sub-regions in the space of diffusion tensor fields. The superquadrics have been used as a figure of merit to measure the similarity between the neighboring voxels. By using the segmented 3-D in the magnetic resonance angiography data, we can efficiently visualize the vascular structure without any prior information as well as improve the medical diagnosis and therapy.

Paper Details

Date Published: 5 July 2013
PDF: 4 pages
J. Electron. Imaging. 22(3) 030501 doi: 10.1117/1.JEI.22.3.030501
Published in: Journal of Electronic Imaging Volume 22, Issue 3
Show Author Affiliations
Sang Min Yoon, Kookmin Univ. (Korea, Republic of)

© SPIE. Terms of Use
Back to Top