Three-dimensional cardiac image segmentation using adaptive filtering and 3D deformable simplex meshes

M. M. Nillesen, R. G.P. Lopata, I. H. Gerrits, L. Kapusta, H. J. Huisman, J. M. Thijssen, C. L. De Korte

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Semi-automatic segmentation of the myocardium in three-dimensional (3D) echographic images may substantially support clinical diagnosis of (congenital) heart disease. It can facilitate visualization of abnormal cardiac anatomy and may serve as an important preprocessing step for automated cardiac strain imaging. Echocardiographic image sequences of the left ventricle of two healthy subjects and one piglet were obtained in radiofrequency (RF) format, directly after beamforming, in 3D live and in Full Volume mode. To optimize the distinction between blood and myocardium, 3D Adaptive Mean Squares (AMS) filtering was performed on the demodulated rf-data. Earlier work on 2D data revealed that this filter reduces speckle noise, while preserving the sharpness of edges between various structures. In this study a 3D deformable model based on a simplex mesh was then used to segment the endocardial surface. The model deforms under influence of internal (regularization) and external (data) forces and is initialized by placing a spherical surface model in the left ventricle. A gradient and a speed force were included in the external force of the model. Weighting factors of internal, gradient and speed forces were interactively set to balance data fitting and mesh regularity. Initial results show that segmentation of the endocardial surface using 3D deformable simplex meshes in combination with adaptive filtering is feasible. The speed force led to improved segmentation in all datasets as the deformable model was less dependent on initialization. The method is promising for application to nonstandard heart geometries without having to impose strong shape constraints. To prevent the model from leaking into the left atrium or crossing areas with weak boundary information, the use of attractor forces and weak shape constraints could be helpful.

Original languageEnglish
Title of host publication2007 IEEE Ultrasonics Symposium Proceedings, IUS
Pages1468-1471
Number of pages4
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 IEEE Ultrasonics Symposium, IUS - New York, NY, United States
Duration: 28 Oct 200731 Oct 2007

Publication series

NameProceedings - IEEE Ultrasonics Symposium
ISSN (Print)1051-0117

Conference

Conference2007 IEEE Ultrasonics Symposium, IUS
Country/TerritoryUnited States
CityNew York, NY
Period28/10/0731/10/07

Keywords

  • 3D echocardiography
  • Adaptive filtering
  • Deformable model
  • Image segmentation
  • Simplex mesh
  • Speckle

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