Accurate reconstruction of 3D cardiac geometry from coarsely-sliced MRI

Jordan Ringenberg, Makarand Deo, Vijay Devabhaktuni, Omer Berenfeld, Brett Snyder, Pamela Boyers, Jeffrey Gold

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


We present a comprehensive validation analysis to assess the geometric impact of using coarsely-sliced short-axis images to reconstruct patient-specific cardiac geometry. The methods utilize high-resolution diffusion tensor MRI (DTMRI) datasets as reference geometries from which synthesized coarsely-sliced datasets simulating in vivo MRI were produced. 3D models are reconstructed from the coarse data using variational implicit surfaces through a commonly used modeling tool, CardioViz3D. The resulting geometries were then compared to the reference DTMRI models from which they were derived to analyze how well the synthesized geometries approximate the reference anatomy. Averaged over seven hearts, 95% spatial overlap, less than 3% volume variability, and normal-to-surface distance of 0.32. mm was observed between the synthesized myocardial geometries reconstructed from 8. mm sliced images and the reference data. The results provide strong supportive evidence to validate the hypothesis that coarsely-sliced MRI may be used to accurately reconstruct geometric ventricular models. Furthermore, the use of DTMRI for validation of in vivo MRI presents a novel benchmark procedure for studies which aim to substantiate their modeling and simulation methods using coarsely-sliced cardiac data. In addition, the paper outlines a suggested original procedure for deriving image-based ventricular models using the CardioViz3D software.

Original languageEnglish (US)
Pages (from-to)483-493
Number of pages11
JournalComputer Methods and Programs in Biomedicine
Issue number2
StatePublished - Feb 2014
Externally publishedYes


  • 3D modeling
  • Cardiac MRI
  • Patient-specific heart models
  • Variational implicit surfaces
  • Ventricular geometry

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Health Informatics


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