Comput Methods Programs Biomed - Accurate reconstruction of 3D cardiac geometry from coarsely-sliced MRI.

Tópicos

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Resumo

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.

Resumo Limpo

present comprehens valid analysi assess geometr impact use coarselysl shortaxi imag reconstruct patientspecif cardiac geometri method util highresolut diffus tensor mri dtmri dataset refer geometri synthes coarselysl dataset simul vivo mri produc d model reconstruct coars data use variat implicit surfac common use model tool cardiovizd result geometri compar refer dtmri model deriv analyz well synthes geometri approxim refer anatomi averag seven heart spatial overlap less volum variabl normaltosurfac distanc mm observ synthes myocardi geometri reconstruct mm slice imag refer data result provid strong support evid valid hypothesi coarselysl mri may use accur reconstruct geometr ventricular model furthermor use dtmri valid vivo mri present novel benchmark procedur studi aim substanti model simul method use coarselysl cardiac data addit paper outlin suggest origin procedur deriv imagebas ventricular model use cardiovizd softwar

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