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Generation of Dynamic Heart Model Based on 4D Echocardiographic Images

  • Michał Chlebiej
  • Paweł Mikołajczak
  • Krzysztof Nowiński
  • Piotr Ścisło
  • Piotr Bała
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3984)

Abstract

One of the most challenging problems in the modern cardiology is a correct quantification of the left ventricle contractility and synchronicity. Correct, quantitative assessment of these parameters, which could be changed in a course of many severe diseases of the heart (e.g. coronary artery disease and myocardial infarction, heart failure), is a key factor for the right diagnose and further therapy. Up to date, in clinical daily practice, most of these information is collected by transthoracic two dimensional echocardiography. Assessment of these parameters is difficult and depends on observer experience. However, quantification method of the contractility assessment based on strain and strain analysis are available, these methods still are grounded on 2D analysis. Real time 3D echocardiography gives physicians opportunity for real quantitative analysis of the left ventricle contractility and synchronicity. In this work we present a method for estimating heart motion from 4D (3D+time) echocardiographic images.

Keywords

Anisotropic Diffusion Active Contour Model Speckle Noise Echocardiographic Image Segmentation Procedure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Michał Chlebiej
    • 1
  • Paweł Mikołajczak
    • 1
  • Krzysztof Nowiński
    • 2
  • Piotr Ścisło
    • 3
  • Piotr Bała
    • 4
  1. 1.Department of Information Technology, Institute of Computer ScienceMaria Curie-Skłodowska UniversityLublinPoland
  2. 2.Interdisciplinary Centre for Mathematical and Computational ModelingWarsaw UniversityWarsawPoland
  3. 3.Department of CardiologyMedical Academy of WarsawWarszawaPoland
  4. 4.Faculty of Mathematics and Computer Science.N. Copernicus UniversityToruńPoland

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