Paper Title:
Automatic Acquisition of the Four-Chamber View of Heart from Dual Source CT Data
  Abstract

The four-chamber view of heart plays an important role in clinical diagnosis of cardiac disease. According to the geometric structure of heart, we propose a method to automatic acquisition of the four-chamber view in volume data. First, the contrast-medium enhanced part of dual source CT data is segmented and morphological operations are applied. Second, the Dijkstra Algorithm considering 3D Euler Distance as weighting factor is introduced to extract the center line of atrium and ventricle. Finally, the four-chamber view of heart is estimated based on the 3D Euclidean Distance and the geometric characteristics of the center line. In this paper, 40 patients (age from 49 to 81) are examined, and the recognition rate is 91.25%.

  Info
Periodical
Edited by
Robert Zhu
Pages
100-104
DOI
10.4028/www.scientific.net/AMM.140.100
Citation
A. Du, W. Song, X. Yang, H. H. Xue, K. Sun, "Automatic Acquisition of the Four-Chamber View of Heart from Dual Source CT Data", Applied Mechanics and Materials, Vol. 140, pp. 100-104, 2012
Online since
November 2011
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