Reconstruction of heart motion from 4D echocardiographic images

Authors:
Michał Chlebiej;Krzysztof Nowiński;Piotr Ścisło;Piotr Bała
Affiliations:
Faculty of Mathematics and Computer Science, N. Copernicus University, Torun, Poland;Interdisciplinary Centre for Mathematical and Computational Modeling, Warsaw University, Warsaw, Poland;Department of Cardiology, Medical Academy of Warsaw, Warszawa, Poland;Faculty of Mathematics and Computer Science, N. Copernicus University, Torun, Poland
Venue:
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Year:
2007

Citing 4
Cited 0

Free-form deformation of solid geometric models

SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Scale-Space and Edge Detection Using Anisotropic Diffusion

IEEE Transactions on Pattern Analysis and Machine Intelligence
Space and Time Shape Constrained Deformable Surfaces for 4D Medical Image Segmentation

MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Generation of dynamic heart model based on 4d echocardiographic images

ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part V

Quantified Score

Hi-index	0.00

Visualization

Abstract

The quantitative description of the cardiac motion is an important task for the assessment of the viability in the heart wall. Abnormalities in heart motion can eventually lead to life threatening cardiac injuries therefore measurements of dynamic heart functions are of great clinical importance. In this work we present a method for estimating heart motion from 4D (3D+time) echocardiographic images. Our approach involves non-linear 4D anisotropic diffusion filtering of the data, non-rigid registration of time sequence, noise removal by time averaging, shape and texture based segmentation and finally the reconstruction of the dynamic 3D model of the heart.