2D local heart motion estimation using level sets and hierarchical B-splines

  • Marco Mora*
  • , Clovis Tauber
  • , Hadj Batatia
  • *Corresponding author for this work

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

Abstract

Diagnosing complex heart malformations require the analysis of local heart motion. This paper presents a method for measuring local motion in a sequence of 2D echographic heart images. The heart cavities are segmented using an implicit geometric active contour robust to speckle. A combined rigid and non-rigid image registration method is then used to estimate the motion field. The cavity segmentation is done with our original level set method founded on the coefficient of variation. The curves obtained from two successive images are matched during the registration process to estimate their displacement. The registration process consists of three phases. First, we estimate a linear transform using the ICP algorithm to remove the linear difference between the cavities. The second phase consists of calculating an initial deformation embedding the B-spline transform in the ICP algorithm. Finally, we perform the hierarchical B-spline refinement in regions with unsatisfactory deviations. The result is a dense free form deformation field that is segmented to show the local heart motion. Experimental results using real ultrasound images are shown.

Original languageEnglish
Title of host publicationComputers in Cardiology 2006
PublisherIEEE
Pages513-516
Number of pages4
ISBN (Print)9781424425327
Publication statusPublished - 7 May 2008
EventComputers in Cardiology 2006 - Valencia, Spain
Duration: 17 Sept 200620 Sept 2006

Publication series

NameComputers in Cardiology
Volume33
ISSN (Print)0276-6574

Conference

ConferenceComputers in Cardiology 2006
Abbreviated titleCIC 2006
Country/TerritorySpain
CityValencia
Period17/09/0620/09/06

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

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