title: Accurate reconstruction of 3D cardiac geometry from coarsely-sliced MRI.
abstract: 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.
authors.affiliation: EECS Department, College of Engineering, University of Toledo, 2801 West Bancroft Street, Toledo, OH 43606, United States. Electronic address: jordan.ringenberg@utoledo.edu.
authors.forename: Jordan
authors.initials: J
authors.lastname: Ringenberg
authors.affiliation: Department of Engineering, Norfolk State University, 700 Park Avenue, Norfolk, VA 23504, United States.
authors.forename: Makarand
authors.initials: M
authors.lastname: Deo
authors.affiliation: EECS Department, College of Engineering, University of Toledo, 2801 West Bancroft Street, Toledo, OH 43606, United States.
authors.forename: Vijay
authors.initials: V
authors.lastname: Devabhaktuni
authors.affiliation: Center for Arrhythmia Research, Department of Internal Medicine, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, United States.
authors.forename: Omer
authors.initials: O
authors.lastname: Berenfeld
authors.affiliation: EECS Department, College of Engineering, University of Toledo, 2801 West Bancroft Street, Toledo, OH 43606, United States.
authors.forename: Brett
authors.initials: B
authors.lastname: Snyder
authors.affiliation: Interprofessional Immersive Simulation Center, University of Toledo, 3000 Arlington Avenue, Toledo, OH 43614, United States.
authors.forename: Pamela
authors.initials: P
authors.lastname: Boyers
authors.affiliation: Interprofessional Immersive Simulation Center, University of Toledo, 3000 Arlington Avenue, Toledo, OH 43614, United States.
authors.forename: Jeffrey
authors.initials: J
authors.lastname: Gold
mesh_terms: D006321:Heart / Q000033:anatomy & histology*; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008953:Models, Anatomic
keywords: 3D modeling; Cardiac MRI; Patient-specific heart models; Variational implicit surfaces; Ventricular geometry