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4D-Analysis of Left Ventricular Heart Cycle Using Procrustes Motion Analysis
The aim of this study is to investigate human left ventricular heart morphological changes in time among 17 healthy subjects. Preliminarily, 2 patients with volumetric overload due to aortic insufficiency were added to our analyses. We propose a special strategy to compare the shape, orientation and...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900685/ https://www.ncbi.nlm.nih.gov/pubmed/24466282 http://dx.doi.org/10.1371/journal.pone.0086896 |
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author | Piras, Paolo Evangelista, Antonietta Gabriele, Stefano Nardinocchi, Paola Teresi, Luciano Torromeo, Concetta Schiariti, Michele Varano, Valerio Puddu, Paolo Emilio |
author_facet | Piras, Paolo Evangelista, Antonietta Gabriele, Stefano Nardinocchi, Paola Teresi, Luciano Torromeo, Concetta Schiariti, Michele Varano, Valerio Puddu, Paolo Emilio |
author_sort | Piras, Paolo |
collection | PubMed |
description | The aim of this study is to investigate human left ventricular heart morphological changes in time among 17 healthy subjects. Preliminarily, 2 patients with volumetric overload due to aortic insufficiency were added to our analyses. We propose a special strategy to compare the shape, orientation and size of cardiac cycle’s morphological trajectories in time. We used 3D data obtained by Speckle Tracking Echocardiography in order to detect semi-automated and homologous landmarks clouds as proxies of left ventricular heart morphology. An extended Geometric Morphometrics toolkit in order to distinguish between intra- and inter-individual shape variations was used. Shape of trajectories with inter-individual variation were compared under the assumption that trajectories attributes, estimated at electrophysiologically homologous times are expressions of left ventricular heart function. We found that shape analysis as commonly applied in Geometric Morphometrics studies fails in identifying a proper morpho-space to compare the shape of morphological trajectories in time. To overcome this problem, we performed a special type of Riemannian Parallel Transport, called “linear shift”. Whereas the two patients with aortic insufficiency were not differentiated in the static shape analysis from the healthy subjects, they set apart significantly in the analyses of motion trajectory’s shape and orientation. We found that in healthy subjects, the variations due to inter-individual morphological differences were not related to shape and orientation of morphological trajectories. Principal Component Analysis showed that volumetric contraction, torsion and twist are differently distributed on different axes. Moreover, global shape change appeared to be more correlated with endocardial shape change than with the epicardial one. Finally, the total shape variation occurring among different subjects was significantly larger than that observable across properly defined morphological trajectories. |
format | Online Article Text |
id | pubmed-3900685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39006852014-01-24 4D-Analysis of Left Ventricular Heart Cycle Using Procrustes Motion Analysis Piras, Paolo Evangelista, Antonietta Gabriele, Stefano Nardinocchi, Paola Teresi, Luciano Torromeo, Concetta Schiariti, Michele Varano, Valerio Puddu, Paolo Emilio PLoS One Research Article The aim of this study is to investigate human left ventricular heart morphological changes in time among 17 healthy subjects. Preliminarily, 2 patients with volumetric overload due to aortic insufficiency were added to our analyses. We propose a special strategy to compare the shape, orientation and size of cardiac cycle’s morphological trajectories in time. We used 3D data obtained by Speckle Tracking Echocardiography in order to detect semi-automated and homologous landmarks clouds as proxies of left ventricular heart morphology. An extended Geometric Morphometrics toolkit in order to distinguish between intra- and inter-individual shape variations was used. Shape of trajectories with inter-individual variation were compared under the assumption that trajectories attributes, estimated at electrophysiologically homologous times are expressions of left ventricular heart function. We found that shape analysis as commonly applied in Geometric Morphometrics studies fails in identifying a proper morpho-space to compare the shape of morphological trajectories in time. To overcome this problem, we performed a special type of Riemannian Parallel Transport, called “linear shift”. Whereas the two patients with aortic insufficiency were not differentiated in the static shape analysis from the healthy subjects, they set apart significantly in the analyses of motion trajectory’s shape and orientation. We found that in healthy subjects, the variations due to inter-individual morphological differences were not related to shape and orientation of morphological trajectories. Principal Component Analysis showed that volumetric contraction, torsion and twist are differently distributed on different axes. Moreover, global shape change appeared to be more correlated with endocardial shape change than with the epicardial one. Finally, the total shape variation occurring among different subjects was significantly larger than that observable across properly defined morphological trajectories. Public Library of Science 2014-01-23 /pmc/articles/PMC3900685/ /pubmed/24466282 http://dx.doi.org/10.1371/journal.pone.0086896 Text en © 2014 Piras et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Piras, Paolo Evangelista, Antonietta Gabriele, Stefano Nardinocchi, Paola Teresi, Luciano Torromeo, Concetta Schiariti, Michele Varano, Valerio Puddu, Paolo Emilio 4D-Analysis of Left Ventricular Heart Cycle Using Procrustes Motion Analysis |
title | 4D-Analysis of Left Ventricular Heart Cycle Using Procrustes Motion Analysis |
title_full | 4D-Analysis of Left Ventricular Heart Cycle Using Procrustes Motion Analysis |
title_fullStr | 4D-Analysis of Left Ventricular Heart Cycle Using Procrustes Motion Analysis |
title_full_unstemmed | 4D-Analysis of Left Ventricular Heart Cycle Using Procrustes Motion Analysis |
title_short | 4D-Analysis of Left Ventricular Heart Cycle Using Procrustes Motion Analysis |
title_sort | 4d-analysis of left ventricular heart cycle using procrustes motion analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900685/ https://www.ncbi.nlm.nih.gov/pubmed/24466282 http://dx.doi.org/10.1371/journal.pone.0086896 |
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