Cardiac ventricle contour reconstruction in ultrasonographic images using bayesian constrained spectral method

Authors:
Tomasz Sołtysiński;Krzysztof Kałużynski;Tadeusz Pałko
Affiliations:
Institute of Precision and Biomedical Engineering, Department of Mechatronics, Warsaw University of Technology, Warsaw, Poland;Institute of Precision and Biomedical Engineering, Department of Mechatronics, Warsaw University of Technology, Warsaw, Poland;Institute of Precision and Biomedical Engineering, Department of Mechatronics, Warsaw University of Technology, Warsaw, Poland
Venue:
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Year:
2006

Citing 4
Cited 1

Double Fourier series on a sphere: applications to elliptic and vorticity equations

Journal of Computational Physics
Overview and fundamentals of medical image segmentation

Handbook of medical imaging
Partial volume segmentation with voxel histograms

Handbook of medical imaging
A Fast Spectral Method for Active 3D Shape Reconstruction

Journal of Mathematical Imaging and Vision

Novel Quantitative Method for Spleen's Morphometry in Splenomegally

ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose a novel method of active spectral segmentation of cardiac ventricle by application of Bayesian inference adapted to contour detection in speckled ultrasonographic cardiological data. We discuss the advantages and limitations of this method and describe possible further developments.