Literature DB >> 29414438

Universal ventricular coordinates: A generic framework for describing position within the heart and transferring data.

Jason Bayer1, Anton J Prassl2, Ali Pashaei3, Juan F Gomez4, Antonio Frontera5, Aurel Neic6, Gernot Plank7, Edward J Vigmond8.   

Abstract

Being able to map a particular set of cardiac ventricles to a generic topologically equivalent representation has many applications, including facilitating comparison of different hearts, as well as mapping quantities and structures of interest between them. In this paper we describe Universal Ventricular Coordinates (UVC), which can be used to describe position within any biventricular heart. UVC comprise four unique coordinates that we have chosen to be intuitive, well defined, and relevant for physiological descriptions. We describe how to determine these coordinates for any volumetric mesh by illustrating how to properly assign boundary conditions and utilize solutions to Laplace's equation. Using UVC, we transferred scalar, vector, and tensor data between four unstructured ventricular meshes from three different species. Performing the mappings was very fast, on the order of a few minutes, since mesh nodes were searched in a KD tree. Distance errors in mapping mesh nodes back and forth between meshes were less than the size of an element. Analytically derived fiber directions were also mapped across meshes and compared, showing  < 5° difference over most of the ventricles. The ability to transfer gradients was also demonstrated. Topologically variable structures, like papillary muscles, required further definition outside of the UVC framework. In conclusion, UVC can aid in transferring many types of data between different biventricular geometries.
Copyright © 2018 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Coordinates; Deformation; Mapping; Volumetric meshes

Mesh:

Year:  2018        PMID: 29414438     DOI: 10.1016/j.media.2018.01.005

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  21 in total

1.  Combining endocardial mapping and electrocardiographic imaging (ECGI) for improving PVC localization: A feasibility study.

Authors:  Wilson W Good; Brian Zenger; Jake A Bergquist; Lindsay C Rupp; Karli Gillette; Nathan Angel; Derrick Chou; Gernot Plank; Rob S MacLeod
Journal:  J Electrocardiol       Date:  2021-09-30       Impact factor: 1.380

2.  The Role of Myocardial Fiber Direction in Epicardial Activation Patterns via Uncertainty Quantification.

Authors:  Lindsay C Rupp; Jake A Bergquist; Brian Zenger; Karli Gillette; Akil Narayan; Jess D Tate; Gernot Plank; Rob S MacLeod
Journal:  Comput Cardiol (2010)       Date:  2021-09

3.  An Inverse Eikonal Method for Identifying Ventricular Activation Sequences from Epicardial Activation Maps.

Authors:  Thomas Grandits; Karli Gillette; Aurel Neic; Jason Bayer; Edward Vigmond; Thomas Pock; Gernot Plank
Journal:  J Comput Phys       Date:  2020-07-03       Impact factor: 3.553

4.  Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism.

Authors:  Brian Zenger; Wilson W Good; Jake A Bergquist; Lindsay C Rupp; Maura Perez; Gregory J Stoddard; Vikas Sharma; Rob S MacLeod
Journal:  J Electrocardiol       Date:  2021-07-21       Impact factor: 1.438

5.  Effect of Myocardial Fiber Direction on Epicardial Activation Patterns.

Authors:  Lindsay C Rupp; Wilson W Good; Jake A Bergquist; Brian Zenger; Karli Gillette; Gernot Plank; Rob S MacLeod
Journal:  Comput Cardiol (2010)       Date:  2021-02-10

6.  Estimation and Validation of Cardiac Conduction Velocity and Wavefront Reconstruction Using Epicardial and Volumetric Data.

Authors:  Wilson W Good; Karli K Gillette; Brian Zenger; Jake A Bergquist; Lindsay C Rupp; Jess Tate; Devan Anderson; Matthias A F Gsell; Gernot Plank; Rob S MacLeod
Journal:  IEEE Trans Biomed Eng       Date:  2021-10-19       Impact factor: 4.756

7.  Comparison of interpolation methods of predominant cardiomyocyte orientation from in vivo and ex vivo cardiac diffusion tensor imaging data.

Authors:  Johanna Stimm; Christian Guenthner; Sebastian Kozerke; Christian T Stoeck
Journal:  NMR Biomed       Date:  2021-12-29       Impact factor: 4.478

8.  Left ventricular endocardial pacing is less arrhythmogenic than conventional epicardial pacing when pacing in proximity to scar.

Authors:  Caroline Mendonca Costa; Aurel Neic; Karli Gillette; Bradley Porter; Justin Gould; Baldeep Sidhu; Zhong Chen; Mark Elliott; Vishal Mehta; Gernot Plank; C A Rinaldi; Martin J Bishop; Steven A Niederer
Journal:  Heart Rhythm       Date:  2020-04-06       Impact factor: 6.343

9.  Validation of Intramural Wavefront Reconstruction and Estimation of 3D Conduction Velocity.

Authors:  Wilson W Good; Karli K Gillette; Jake A Bergquist; Brian Zenger; Jess Tate; Lindsay C Rupp; Devan Anderson; Gernot Plank; Rob S MacLeod
Journal:  Comput Cardiol (2010)       Date:  2020-02-24

10.  Automated Localization of Focal Ventricular Tachycardia From Simulated Implanted Device Electrograms: A Combined Physics-AI Approach.

Authors:  Sofia Monaci; Karli Gillette; Esther Puyol-Antón; Ronak Rajani; Gernot Plank; Andrew King; Martin Bishop
Journal:  Front Physiol       Date:  2021-07-01       Impact factor: 4.566

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