Literature DB >> 30559922

TIME RESOLVED DISPLACEMENT-BASED REGISTRATION OF IN VIVO CDTI CARDIOMYOCYTE ORIENTATIONS.

Ilya A Verzhbinsky1, Patrick Magrath2, Eric Aliotta3, Daniel B Ennis1,2,3, Luigi E Perotti1,2.   

Abstract

In vivo cardiac microstructure acquired using cardiac diffusion tensor imaging (cDTI) is a critical component of patient-specific models of cardiac electrophysiology and mechanics. In order to limit bulk motion artifacts and acquisition time, cDTI microstructural data is acquired at a single cardiac phase necessitating registration to the reference configuration on which the patient-specific computational models are based. Herein, we propose a method to register subject-specific microstructural data to an arbitrary cardiac phase using measured cardiac displacements. We validate our approach using a subject-specific computational phantom based on data from human subjects. Compared to a geometry-based non-rigid registration method, the displacement-based registration leads to improved accuracy (less than 1° versus 10° average median error in cardiomyocyte angular differences) and tighter confidence interval (3° versus 65° average upper limit of the 95% confidence interval).

Entities:  

Keywords:  Cardiac Diffusion Tensor Imaging; Computational Cardiac Phantom; Displacement MRI; Non-rigid Registration

Year:  2018        PMID: 30559922      PMCID: PMC6294325          DOI: 10.1109/ISBI.2018.8363619

Source DB:  PubMed          Journal:  Proc IEEE Int Symp Biomed Imaging        ISSN: 1945-7928


  3 in total

1.  Estimating Aggregate Cardiomyocyte Strain Using In Vivo Diffusion and Displacement Encoded MRI.

Authors:  Ilya A Verzhbinsky; Luigi E Perotti; Kevin Moulin; Tyler E Cork; Michael Loecher; Daniel B Ennis
Journal:  IEEE Trans Med Imaging       Date:  2019-08-08       Impact factor: 10.048

2.  High-Resolution Ex Vivo Microstructural MRI After Restoring Ventricular Geometry via 3D Printing.

Authors:  Tyler E Cork; Luigi E Perotti; Ilya A Verzhbinsky; Michael Loecher; Daniel B Ennis
Journal:  Funct Imaging Model Heart       Date:  2019-05-30

3.  Estimating cardiomyofiber strain in vivo by solving a computational model.

Authors:  Luigi E Perotti; Ilya A Verzhbinsky; Kévin Moulin; Tyler E Cork; Michael Loecher; Daniel Balzani; Daniel B Ennis
Journal:  Med Image Anal       Date:  2020-12-05       Impact factor: 8.545

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.