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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Paolo Piras, Antonietta Evangelista, Stefano Gabriele, Paola Nardinocchi, Luciano Teresi, Concetta Torromeo, Michele Schiariti, Valerio Varano, Paolo Emilio Puddu
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c5c32c9db67840219a360fdd7c699d23
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:c5c32c9db67840219a360fdd7c699d23
record_format	dspace
spelling	oai:doaj.org-article:c5c32c9db67840219a360fdd7c699d232021-11-18T08:36:01Z4D-analysis of left ventricular heart cycle using procrustes motion analysis.1932-620310.1371/journal.pone.0086896https://doaj.org/article/c5c32c9db67840219a360fdd7c699d232014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24466282/?tool=EBIhttps://doaj.org/toc/1932-6203The 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.Paolo PirasAntonietta EvangelistaStefano GabrielePaola NardinocchiLuciano TeresiConcetta TorromeoMichele SchiaritiValerio VaranoPaolo Emilio PudduPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 1, p e86896 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Paolo Piras Antonietta Evangelista Stefano Gabriele Paola Nardinocchi Luciano Teresi Concetta Torromeo Michele Schiariti Valerio Varano Paolo Emilio Puddu 4D-analysis of left ventricular heart cycle using procrustes motion analysis.
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	article
author	Paolo Piras Antonietta Evangelista Stefano Gabriele Paola Nardinocchi Luciano Teresi Concetta Torromeo Michele Schiariti Valerio Varano Paolo Emilio Puddu
author_facet	Paolo Piras Antonietta Evangelista Stefano Gabriele Paola Nardinocchi Luciano Teresi Concetta Torromeo Michele Schiariti Valerio Varano Paolo Emilio Puddu
author_sort	Paolo Piras
title	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_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_sort	4d-analysis of left ventricular heart cycle using procrustes motion analysis.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/c5c32c9db67840219a360fdd7c699d23
work_keys_str_mv	AT paolopiras 4danalysisofleftventricularheartcycleusingprocrustesmotionanalysis AT antoniettaevangelista 4danalysisofleftventricularheartcycleusingprocrustesmotionanalysis AT stefanogabriele 4danalysisofleftventricularheartcycleusingprocrustesmotionanalysis AT paolanardinocchi 4danalysisofleftventricularheartcycleusingprocrustesmotionanalysis AT lucianoteresi 4danalysisofleftventricularheartcycleusingprocrustesmotionanalysis AT concettatorromeo 4danalysisofleftventricularheartcycleusingprocrustesmotionanalysis AT micheleschiariti 4danalysisofleftventricularheartcycleusingprocrustesmotionanalysis AT valeriovarano 4danalysisofleftventricularheartcycleusingprocrustesmotionanalysis AT paoloemiliopuddu 4danalysisofleftventricularheartcycleusingprocrustesmotionanalysis
_version_	1718421586214649856

4D-analysis of left ventricular heart cycle using procrustes motion analysis.

Ejemplares similares