LV-RV shape modeling based on a blended parameterized model

Kyoungju Park, Dimitris N. Metaxas, Leon Axel

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

11 Scopus citations

Abstract

Making a generic heart deformable model to be able to analyze normal and pathological hearts is important. Such a generic model gives more stability and accuracy for segmentation, analysis and classsification. Due to the conflicting demands of shape generality and shape compactness, such a generic heart model is difficult to define. In order to be useful, a generic heart model should be defined with a few number of parameters. In all the previous work on the modeling of the LV-RV shape the deformable model is built from the given datasets. Therefore such methods have limitations that the quality of shape estimation are dependent on the quality of the datasets. In this paper, we introduce a blended deformable model approach with parameter functions which is generic enough to deal with the different heart shapes. Using a method we are able to model the 3D shape of the heart which include the left ventricle(LV) and the right ventricle(RV). We also include the inflow and outflow tract of the RV basal area, so that the full LV-RV shape can be estimated.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2002 - 5th International Conference, Proceedings
EditorsTakeyoshi Dohi, Ron Kikinis
PublisherSpringer Verlag
Pages753-761
Number of pages9
ISBN (Print)9783540457862
DOIs
StatePublished - 2002
Event5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002 - Tokyo, Japan
Duration: Sep 25 2002Sep 28 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2488
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002
Country/TerritoryJapan
CityTokyo
Period9/25/029/28/02

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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