Fast surface alignment for cardiac spatio-temporal modeling: Application to ischemic cardiac shape modeling

Heng Huang, Li Shen, Kong Zhang, Fillia Makedon, Bruce Hettleman, Justin Pearlman

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

Abstract

The visualization and comparison of local deformation from 3D image sequences is of critical importance in understanding the etiology of Ischemic cardiac disease. In this paper we describe a framework to combine our previous fast spherical harmonic surface alignment algorithm with a new local special surface reconstruction method to reconstruct the surface of LV with Ischaemic cardiac disease. Our new surface computational model allows people to extract the valuable ischemic tissues behavior from the dynamic shape. We have demonstrated our approaches by the experiments on cardiac MRI. A brief description of motivation is put forth, as well as an overview of the approaches and some initial results are described.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2006
Subtitle of host publicationImage Processing
DOIs
StatePublished - Jun 22 2006
Externally publishedYes
EventMedical Imaging 2006: Image Processing - San Diego, CA, United States
Duration: Feb 13 2006Feb 16 2006

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6144 II
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2006: Image Processing
CountryUnited States
CitySan Diego, CA
Period2/13/062/16/06

Keywords

  • Cardiac spatio-temporal modeling
  • Ischemic cardiac disease
  • Spherical harmonics
  • Surface registration

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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  • Cite this

    Huang, H., Shen, L., Zhang, K., Makedon, F., Hettleman, B., & Pearlman, J. (2006). Fast surface alignment for cardiac spatio-temporal modeling: Application to ischemic cardiac shape modeling. In Medical Imaging 2006: Image Processing [614434] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6144 II). https://doi.org/10.1117/12.654199