Evaluation of a Statistical Shape Model Based Approach for Recovering the 3D LV Shape from Projective X-Ray Images

Roland Swoboda, Gerald Adam Zwettler, Josef Scharinger, Clemens Steinwender, Franz Leisch

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

Recovering the 3D shape of the left ventricle from contrast-enhanced bi-planar x-ray image sequences is a challenging task. The inherently sparse and noisy data available for reconstruction and the ill-posed nature of the problem necessitate the incorporation of prior knowledge about the ventricular anatomy. Our novel approach reconstructs the endocardial surface from two projections using a statistical shape model that is learned from high-resolution multi-slice CT data. A non-rigid 2D/3D registration method fits the deformable model to the recorded x-ray images by calculating simulated projections of the model and minimizing the difference between simulated and real projections. The presented algorithm is evaluated based on simulated and real patient data using volumetric and geometric similarity measures. For the first time, bi-planar and CT images of the same patient are used to compare the recovered LV shape with the actual shape.

Original languageEnglish
Title of host publicationProceedings of 21st European Modeling and Simulation Symposium EMSS 2009
PublisherDIPTEM University of Genova
Pages154-160
Publication statusPublished - 2009
Event21st European Modeling and Simulation Symposium 2009 EMSS09 - Tenerife, Spain
Duration: 23 Sep 200925 Sep 2009
http://www.msc-les.org/conf/emss2009/

Conference

Conference21st European Modeling and Simulation Symposium 2009 EMSS09
CountrySpain
CityTenerife
Period23.09.200925.09.2009
Internet address

Keywords

  • Bi-planar x-ray angiography
  • Left ventricle reconstruction
  • Non-rigid 2D/3D registration
  • Statistical shape model

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