Multiview RT3D echocardiography image fusion

Kashif Rajpoot*, J. Alison Noble, Vicente Grau, Cezary Szmigielski, Harald Becher

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Real-time three-dimensional echocardiography (RT3DE) permits the acquisition and visualization of the beating heart in 3D. However, its actual utility is limited due to missing anatomical structures and limited field-of-view (FOV). We present an automatic two-stage registration and fusion method to integrate multiple single-view RT3DE images. The registration scheme finds a rigid transformation by using a multiresolution algorithm. The fusion is based on the 3D wavelet transform, utilizing the separation of the image into low- and high-frequency wavelet subbands. The qualitative and quantitative results, from 12 subjects, demonstrate that the proposed fusion framework helps in: (i) filling-in missing anatomical information, (ii) extending the FOV, and (iii) increasing the structural information and image contrast.

Original languageEnglish
Title of host publicationFunctional Imaging and Modeling of the Heart - 5th International Conference, FIMH 2009, Proceedings
Pages134-143
Number of pages10
DOIs
Publication statusPublished - 2009
Event5th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2009 - Nice, France
Duration: 3 Jun 20095 Jun 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5528
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2009
Country/TerritoryFrance
CityNice
Period3/06/095/06/09

Keywords

  • Echocardiography
  • Image fusion
  • Multiview
  • Real-time 3d
  • RT3DE

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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