Build 4-dimensional myocardial model for dynamic CT images

Yixun Liu, Songtao Liu, Albert C. Lardo, Karl Schuleri, Marcelo Souto Nacif, David A. Bluemke, Ronald M. Summers, Jianhua Yao

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

Abstract

4D (3D + time) model is valuable in comprehensive assessment of cardiac functions. Usually, the generation of the 4D myocardial models involves myocardium segmentation, mesh generation and non-rigid registration (to build mesh node correspondence). In this paper, we present a method to simultaneously perform the above tasks. This method begins from a triangular surface model of the myocardium at the first phase of a cardiac cycle. Then, the myocardial surface is simulated as a linear elastic membrane, and evolves toward the next phase governed by an energy function while maintaining the mesh quality. Our preliminary experiments performed on dynamic CT images of the dog demonstrated the effectiveness of this method on both segmentation and mesh generation. The minimum average surface distance between the segmentation results of the proposed method and the ground truth can reach 0.72 ± 0.55 mm, and the mesh quality measured by the aspect ratio of the triangle was less than 11.57 ± 1.18.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2013
Subtitle of host publicationImage Processing
DOIs
StatePublished - Jun 3 2013
EventMedical Imaging 2013: Image Processing - Lake Buena Vista, FL, United States
Duration: Feb 10 2013Feb 12 2013

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8669
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2013: Image Processing
Country/TerritoryUnited States
CityLake Buena Vista, FL
Period2/10/132/12/13

Keywords

  • 4D myocardial model
  • Dynamic CT
  • Finite element method
  • Linear elastic membrane
  • Surface tracking

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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