PS-8 Sparse Appearance Model Based Registration and Segmentation of 3D Echocardiographic Images

  • N. de Jong
  • , A.F.W. van der Steen
  • , K.Y.E. Leung
  • , M. van Stralen
  • , G. van Burken
  • , M.M. Voormolen
  • , A. Nemes
  • , F.J. ten Cate
  • , M.L. Geleijnse
  • , J.H.C. Reiber
  • , J.G. Bosch

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
3 Downloads (Pure)

Abstract

In this study, active appearance model segmentation and intensity-based image registration were combined for detecting contours in three-dimensional (3D) echocardiograms fully automatically. An appearance model was built in 3D sparsely, consisting of the anatomical 4-chamber, 2-chamber, and short-axis views, which were extracted from end-diastolic 3D data sets. The model was used to segment an unseen image in a registration framework, by optimizing appearance and pose parameters simultaneously. Encouraging results were obtained with leave-one-out experiments on 16 patient data sets. The method may help inter- and intrapatient comparison of images, and is intended as an initialization for a complete 3D segmentation.
Original languageEnglish
Title of host publicationProceedings 2006 IEEE Ultrasonics Symposium
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages2413-2416
Number of pages4
ISBN (Print)1-4244-0201-8, 1-4244-0202-6
DOIs
Publication statusPublished - 3 Oct 2006
EventIEEE Ultrasonics Symposium 2006 - Vancouver, Canada
Duration: 3 Oct 20066 Oct 2006

Conference

ConferenceIEEE Ultrasonics Symposium 2006
Country/TerritoryCanada
CityVancouver
Period3/10/066/10/06

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