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MRI-based strain and strain rate analysis of left ventricle: a modified hierarchical transformation model
BACKGROUND: Different from other indicators of cardiac function, such as ejection fraction and transmitral early diastolic velocity, myocardial strain is promising to capture subtle alterations that result from early diseases of the myocardium. In order to extract the left ventricle (LV) myocardial...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4306125/ https://www.ncbi.nlm.nih.gov/pubmed/25602778 http://dx.doi.org/10.1186/1475-925X-14-S1-S9 |
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author | Gan, Yan Chen, Qiang Zhang, Shijun Ju, Shenghong Li, Zhi-Yong |
author_facet | Gan, Yan Chen, Qiang Zhang, Shijun Ju, Shenghong Li, Zhi-Yong |
author_sort | Gan, Yan |
collection | PubMed |
description | BACKGROUND: Different from other indicators of cardiac function, such as ejection fraction and transmitral early diastolic velocity, myocardial strain is promising to capture subtle alterations that result from early diseases of the myocardium. In order to extract the left ventricle (LV) myocardial strain and strain rate from cardiac cine-MRI, a modified hierarchical transformation model was proposed. METHODS: A hierarchical transformation model including the global and local LV deformations was employed to analyze the strain and strain rate of the left ventricle by cine-MRI image registration. The endocardial and epicardial contour information was introduced to enhance the registration accuracy by combining the original hierarchical algorithm with an Iterative Closest Points using Invariant Features algorithm. The hierarchical model was validated by a normal volunteer first and then applied to two clinical cases (i.e., the normal volunteer and a diabetic patient) to evaluate their respective function. RESULTS: Based on the two clinical cases, by comparing the displacement fields of two selected landmarks in the normal volunteer, the proposed method showed a better performance than the original or unmodified model. Meanwhile, the comparison of the radial strain between the volunteer and patient demonstrated their apparent functional difference. CONCLUSIONS: The present method could be used to estimate the LV myocardial strain and strain rate during a cardiac cycle and thus to quantify the analysis of the LV motion function. |
format | Online Article Text |
id | pubmed-4306125 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43061252015-02-12 MRI-based strain and strain rate analysis of left ventricle: a modified hierarchical transformation model Gan, Yan Chen, Qiang Zhang, Shijun Ju, Shenghong Li, Zhi-Yong Biomed Eng Online Research BACKGROUND: Different from other indicators of cardiac function, such as ejection fraction and transmitral early diastolic velocity, myocardial strain is promising to capture subtle alterations that result from early diseases of the myocardium. In order to extract the left ventricle (LV) myocardial strain and strain rate from cardiac cine-MRI, a modified hierarchical transformation model was proposed. METHODS: A hierarchical transformation model including the global and local LV deformations was employed to analyze the strain and strain rate of the left ventricle by cine-MRI image registration. The endocardial and epicardial contour information was introduced to enhance the registration accuracy by combining the original hierarchical algorithm with an Iterative Closest Points using Invariant Features algorithm. The hierarchical model was validated by a normal volunteer first and then applied to two clinical cases (i.e., the normal volunteer and a diabetic patient) to evaluate their respective function. RESULTS: Based on the two clinical cases, by comparing the displacement fields of two selected landmarks in the normal volunteer, the proposed method showed a better performance than the original or unmodified model. Meanwhile, the comparison of the radial strain between the volunteer and patient demonstrated their apparent functional difference. CONCLUSIONS: The present method could be used to estimate the LV myocardial strain and strain rate during a cardiac cycle and thus to quantify the analysis of the LV motion function. BioMed Central 2015-01-09 /pmc/articles/PMC4306125/ /pubmed/25602778 http://dx.doi.org/10.1186/1475-925X-14-S1-S9 Text en Copyright © 2015 Gan et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Gan, Yan Chen, Qiang Zhang, Shijun Ju, Shenghong Li, Zhi-Yong MRI-based strain and strain rate analysis of left ventricle: a modified hierarchical transformation model |
title | MRI-based strain and strain rate analysis of left ventricle: a modified hierarchical transformation model |
title_full | MRI-based strain and strain rate analysis of left ventricle: a modified hierarchical transformation model |
title_fullStr | MRI-based strain and strain rate analysis of left ventricle: a modified hierarchical transformation model |
title_full_unstemmed | MRI-based strain and strain rate analysis of left ventricle: a modified hierarchical transformation model |
title_short | MRI-based strain and strain rate analysis of left ventricle: a modified hierarchical transformation model |
title_sort | mri-based strain and strain rate analysis of left ventricle: a modified hierarchical transformation model |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4306125/ https://www.ncbi.nlm.nih.gov/pubmed/25602778 http://dx.doi.org/10.1186/1475-925X-14-S1-S9 |
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