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Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI

  • Shaoting Zhang
  • Mustafa Uzunbas
  • Zhennan Yan
  • Mingchen Gao
  • Junzhou Huang
  • Dimitris N. Metaxas
  • Leon Axel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6666)

Abstract

In this paper, we present an effective algorithm to construct a 3D shape atlas for the left ventricle of heart from cardiac Magnetic Resonance Image data. We derive a framework that creates a 3D object mesh from a 2D stack of contours, based on geometry processing algorithms and a semi-constrained deformation method. The geometry processing methods include decimation, detail preserved smoothing and isotropic remeshing, and they ensure high-quality meshes. The deformation method generates subject-specific 3D models, but with global point correspondences. Once we extract 3D meshes from the sample data, generalized Procrustes analysis and Principal Component Analysis are then applied to align them together and model the shape variations. We demonstrate the algorithm via a set of experiments on a population of cardiac MRI scans. We also present modes of variation from the computed atlas for the control population, to show the shape and motion variability.

Keywords

Cardiac Magnetic Resonance Image Geometry Processing Reference Shape Generalize Procrustes Analysis Marching Cube 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Shaoting Zhang
    • 1
  • Mustafa Uzunbas
    • 1
  • Zhennan Yan
    • 1
  • Mingchen Gao
    • 1
  • Junzhou Huang
    • 1
  • Dimitris N. Metaxas
    • 1
  • Leon Axel
    • 2
  1. 1.Computer Science DepartmentRutgers, the State University of New JerseyUSA
  2. 2.Radiology DepartmentNew York UniversityUSA

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