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Texture analysis of magnetic resonance images of the human placenta throughout gestation: A feasibility study
As fetal gestational age increases, other modalities such as ultrasound have demonstrated increased levels of heterogeneity in the normal placenta. In this study, we introduce and apply ROI-based texture analysis to a retrospective fetal MRI database to characterize the second-order statistics of pl...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6342316/ https://www.ncbi.nlm.nih.gov/pubmed/30668581 http://dx.doi.org/10.1371/journal.pone.0211060 |
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author | Do, Quyen N. Lewis, Matthew A. Madhuranthakam, Ananth J. Xi, Yin Bailey, April A. Lenkinski, Robert E. Twickler, Diane M. |
author_facet | Do, Quyen N. Lewis, Matthew A. Madhuranthakam, Ananth J. Xi, Yin Bailey, April A. Lenkinski, Robert E. Twickler, Diane M. |
author_sort | Do, Quyen N. |
collection | PubMed |
description | As fetal gestational age increases, other modalities such as ultrasound have demonstrated increased levels of heterogeneity in the normal placenta. In this study, we introduce and apply ROI-based texture analysis to a retrospective fetal MRI database to characterize the second-order statistics of placenta and to evaluate the relationship between heterogeneity and gestational age. Positive correlations were observed for several Haralick texture metrics derived from fetal-brain specific T2-weighted and gravid uterus T1-weighted and T2-weighted images, confirming a quantitative increase in placental heterogeneity with gestational age. Our study shows the importance of identifying baseline MR textural changes at certain gestational ages from which placental diseased states may be compared. Specifically, when evaluating for placental invasion or insufficiency, findings should be evaluated in the context of the normal placental aging process, which occurs throughout gestation. |
format | Online Article Text |
id | pubmed-6342316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-63423162019-02-02 Texture analysis of magnetic resonance images of the human placenta throughout gestation: A feasibility study Do, Quyen N. Lewis, Matthew A. Madhuranthakam, Ananth J. Xi, Yin Bailey, April A. Lenkinski, Robert E. Twickler, Diane M. PLoS One Research Article As fetal gestational age increases, other modalities such as ultrasound have demonstrated increased levels of heterogeneity in the normal placenta. In this study, we introduce and apply ROI-based texture analysis to a retrospective fetal MRI database to characterize the second-order statistics of placenta and to evaluate the relationship between heterogeneity and gestational age. Positive correlations were observed for several Haralick texture metrics derived from fetal-brain specific T2-weighted and gravid uterus T1-weighted and T2-weighted images, confirming a quantitative increase in placental heterogeneity with gestational age. Our study shows the importance of identifying baseline MR textural changes at certain gestational ages from which placental diseased states may be compared. Specifically, when evaluating for placental invasion or insufficiency, findings should be evaluated in the context of the normal placental aging process, which occurs throughout gestation. Public Library of Science 2019-01-22 /pmc/articles/PMC6342316/ /pubmed/30668581 http://dx.doi.org/10.1371/journal.pone.0211060 Text en © 2019 Do 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Do, Quyen N. Lewis, Matthew A. Madhuranthakam, Ananth J. Xi, Yin Bailey, April A. Lenkinski, Robert E. Twickler, Diane M. Texture analysis of magnetic resonance images of the human placenta throughout gestation: A feasibility study |
title | Texture analysis of magnetic resonance images of the human placenta throughout gestation: A feasibility study |
title_full | Texture analysis of magnetic resonance images of the human placenta throughout gestation: A feasibility study |
title_fullStr | Texture analysis of magnetic resonance images of the human placenta throughout gestation: A feasibility study |
title_full_unstemmed | Texture analysis of magnetic resonance images of the human placenta throughout gestation: A feasibility study |
title_short | Texture analysis of magnetic resonance images of the human placenta throughout gestation: A feasibility study |
title_sort | texture analysis of magnetic resonance images of the human placenta throughout gestation: a feasibility study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6342316/ https://www.ncbi.nlm.nih.gov/pubmed/30668581 http://dx.doi.org/10.1371/journal.pone.0211060 |
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