Share Email Print

Proceedings Paper

Algorithm for spatio-temporal heart segmentation
Author(s): Zoran Majcenic; Sven Loncaric
Format Member Price Non-Member Price
PDF $14.40 $18.00
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

Heart image analysis is a challenging and important process used for a range of purposes such as image based measurement, visualization, etc. The most important step in medical image analysis is segmentation. In this work we present an algorithm for CT heart image segmentation. The segmentation is based on two basic pieces of information, pixels brightness and motion. The motion information is gathered as the optical flow information. Such information is later used for definition of an energy function for image labeling. This energy function represents a Markov random field (MRF) posterior distribution function. The MAP estimation of the segmented image has been determined using the simulated annealing (SA) algorithm.

Paper Details

Date Published: 6 June 2000
PDF: 8 pages
Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); doi: 10.1117/12.387759
Show Author Affiliations
Zoran Majcenic, Univ. of Zagreb (Croatia)
Sven Loncaric, Univ. of Zagreb (Croatia)

Published in SPIE Proceedings Vol. 3979:
Medical Imaging 2000: Image Processing
Kenneth M. Hanson, Editor(s)

© SPIE. Terms of Use
Back to Top