Quantitative 3-dimensional Geometry of the Aging Eyelids

BACKGROUND:Although facial aging is a well-known phenomenon, it has not been comprehensively characterized in 3 dimensions. This study introduces a novel technique for capturing periorbital structures across age groups using 3-dimensional (3D) imaging and point cloud data collection. METHODS:Forty-s...

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Published inPlastic and reconstructive surgery. Global open Vol. 7; no. 11; p. e2512
Main Authors Flores, Cristina A., Mundy, Joseph L., Byrne, Margaret E., Gonzalez, Jose A., Taylor, Helena O.
Format Journal Article
LanguageEnglish
Published United States The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons 01.11.2019
Copyright The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the American Society of Plastic Surgeons. All rights reserved
Wolters Kluwer Health
Wolters Kluwer
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ISSN2169-7574
2169-7574
DOI10.1097/GOX.0000000000002512

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Abstract BACKGROUND:Although facial aging is a well-known phenomenon, it has not been comprehensively characterized in 3 dimensions. This study introduces a novel technique for capturing periorbital structures across age groups using 3-dimensional (3D) imaging and point cloud data collection. METHODS:Forty-six white women were divided into 3 age groups20–39 years, 40–59 years, and 60+ years. Patients were scanned with the Canfield 3D photogrammetry system, and data files were exported to the point cloud processing software CloudCompare. Manually selected points specifying eyelid margins, creases, and 5 key periorbital features provided the basis for a fitted model and principal component analysis (PCA). Potential statistical significance across age groups was assessed for PCA values corresponding to each subjectʼs eyelid geometry. RESULTS:Three tendencies emerged with respect to increasing age and eyelid anatomythe width and height of the palpebral fissure decreases, with the width decreasing more rapidly; the depth of the lateral canthus relative to the medial canthus decreases; and the superior crease becomes more variable. Analyses of variance of PCA values across age groups show statistically significant differences between the youngest and oldest groups. CONCLUSIONS:Three-dimensional photogrammetry enables rigorous and reliable evaluation of the aging eyelid. Results suggest age-induced changes to eyelid margin, crease, and lateral canthus positions, which have been noted anecdotally but poorly quantified until now.
AbstractList Although facial aging is a well-known phenomenon, it has not been comprehensively characterized in 3 dimensions. This study introduces a novel technique for capturing periorbital structures across age groups using 3-dimensional (3D) imaging and point cloud data collection.
BACKGROUND:Although facial aging is a well-known phenomenon, it has not been comprehensively characterized in 3 dimensions. This study introduces a novel technique for capturing periorbital structures across age groups using 3-dimensional (3D) imaging and point cloud data collection. METHODS:Forty-six white women were divided into 3 age groups20–39 years, 40–59 years, and 60+ years. Patients were scanned with the Canfield 3D photogrammetry system, and data files were exported to the point cloud processing software CloudCompare. Manually selected points specifying eyelid margins, creases, and 5 key periorbital features provided the basis for a fitted model and principal component analysis (PCA). Potential statistical significance across age groups was assessed for PCA values corresponding to each subjectʼs eyelid geometry. RESULTS:Three tendencies emerged with respect to increasing age and eyelid anatomythe width and height of the palpebral fissure decreases, with the width decreasing more rapidly; the depth of the lateral canthus relative to the medial canthus decreases; and the superior crease becomes more variable. Analyses of variance of PCA values across age groups show statistically significant differences between the youngest and oldest groups. CONCLUSIONS:Three-dimensional photogrammetry enables rigorous and reliable evaluation of the aging eyelid. Results suggest age-induced changes to eyelid margin, crease, and lateral canthus positions, which have been noted anecdotally but poorly quantified until now.
Although facial aging is a well-known phenomenon, it has not been comprehensively characterized in 3 dimensions. This study introduces a novel technique for capturing periorbital structures across age groups using 3-dimensional (3D) imaging and point cloud data collection.Although facial aging is a well-known phenomenon, it has not been comprehensively characterized in 3 dimensions. This study introduces a novel technique for capturing periorbital structures across age groups using 3-dimensional (3D) imaging and point cloud data collection.Forty-six white women were divided into 3 age groups: 20-39 years, 40-59 years, and 60+ years. Patients were scanned with the Canfield 3D photogrammetry system, and data files were exported to the point cloud processing software CloudCompare. Manually selected points specifying eyelid margins, creases, and 5 key periorbital features provided the basis for a fitted model and principal component analysis (PCA). Potential statistical significance across age groups was assessed for PCA values corresponding to each subject's eyelid geometry.METHODSForty-six white women were divided into 3 age groups: 20-39 years, 40-59 years, and 60+ years. Patients were scanned with the Canfield 3D photogrammetry system, and data files were exported to the point cloud processing software CloudCompare. Manually selected points specifying eyelid margins, creases, and 5 key periorbital features provided the basis for a fitted model and principal component analysis (PCA). Potential statistical significance across age groups was assessed for PCA values corresponding to each subject's eyelid geometry.Three tendencies emerged with respect to increasing age and eyelid anatomy: the width and height of the palpebral fissure decreases, with the width decreasing more rapidly; the depth of the lateral canthus relative to the medial canthus decreases; and the superior crease becomes more variable. Analyses of variance of PCA values across age groups show statistically significant differences between the youngest and oldest groups.RESULTSThree tendencies emerged with respect to increasing age and eyelid anatomy: the width and height of the palpebral fissure decreases, with the width decreasing more rapidly; the depth of the lateral canthus relative to the medial canthus decreases; and the superior crease becomes more variable. Analyses of variance of PCA values across age groups show statistically significant differences between the youngest and oldest groups.Three-dimensional photogrammetry enables rigorous and reliable evaluation of the aging eyelid. Results suggest age-induced changes to eyelid margin, crease, and lateral canthus positions, which have been noted anecdotally but poorly quantified until now.CONCLUSIONSThree-dimensional photogrammetry enables rigorous and reliable evaluation of the aging eyelid. Results suggest age-induced changes to eyelid margin, crease, and lateral canthus positions, which have been noted anecdotally but poorly quantified until now.
Background:. Although facial aging is a well-known phenomenon, it has not been comprehensively characterized in 3 dimensions. This study introduces a novel technique for capturing periorbital structures across age groups using 3-dimensional (3D) imaging and point cloud data collection. Methods:. Forty-six white women were divided into 3 age groups: 20–39 years, 40–59 years, and 60+ years. Patients were scanned with the Canfield 3D photogrammetry system, and data files were exported to the point cloud processing software CloudCompare. Manually selected points specifying eyelid margins, creases, and 5 key periorbital features provided the basis for a fitted model and principal component analysis (PCA). Potential statistical significance across age groups was assessed for PCA values corresponding to each subject's eyelid geometry. Results:. Three tendencies emerged with respect to increasing age and eyelid anatomy: the width and height of the palpebral fissure decreases, with the width decreasing more rapidly; the depth of the lateral canthus relative to the medial canthus decreases; and the superior crease becomes more variable. Analyses of variance of PCA values across age groups show statistically significant differences between the youngest and oldest groups. Conclusions:. Three-dimensional photogrammetry enables rigorous and reliable evaluation of the aging eyelid. Results suggest age-induced changes to eyelid margin, crease, and lateral canthus positions, which have been noted anecdotally but poorly quantified until now.
Although facial aging is a well-known phenomenon, it has not been comprehensively characterized in 3 dimensions. This study introduces a novel technique for capturing periorbital structures across age groups using 3-dimensional (3D) imaging and point cloud data collection. Forty-six white women were divided into 3 age groups: 20-39 years, 40-59 years, and 60+ years. Patients were scanned with the Canfield 3D photogrammetry system, and data files were exported to the point cloud processing software CloudCompare. Manually selected points specifying eyelid margins, creases, and 5 key periorbital features provided the basis for a fitted model and principal component analysis (PCA). Potential statistical significance across age groups was assessed for PCA values corresponding to each subject's eyelid geometry. Three tendencies emerged with respect to increasing age and eyelid anatomy: the width and height of the palpebral fissure decreases, with the width decreasing more rapidly; the depth of the lateral canthus relative to the medial canthus decreases; and the superior crease becomes more variable. Analyses of variance of PCA values across age groups show statistically significant differences between the youngest and oldest groups. Three-dimensional photogrammetry enables rigorous and reliable evaluation of the aging eyelid. Results suggest age-induced changes to eyelid margin, crease, and lateral canthus positions, which have been noted anecdotally but poorly quantified until now.
Author Taylor, Helena O.
Byrne, Margaret E.
Mundy, Joseph L.
Flores, Cristina A.
Gonzalez, Jose A.
AuthorAffiliation From the The Warren Alpert Medical School of Brown University, Providence, R.I
Vision Systems Inc, Providence, R.I
Division of Plastic Surgery, Mount Auburn Hospital, Cambridge, Mass
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Snippet BACKGROUND:Although facial aging is a well-known phenomenon, it has not been comprehensively characterized in 3 dimensions. This study introduces a novel...
Although facial aging is a well-known phenomenon, it has not been comprehensively characterized in 3 dimensions. This study introduces a novel technique for...
Background:. Although facial aging is a well-known phenomenon, it has not been comprehensively characterized in 3 dimensions. This study introduces a novel...
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Title Quantitative 3-dimensional Geometry of the Aging Eyelids
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https://www.ncbi.nlm.nih.gov/pubmed/31942303
https://www.proquest.com/docview/2339796239
https://pubmed.ncbi.nlm.nih.gov/PMC6908328
https://doaj.org/article/b338086745074fc0b7eade83e2ec777b
Volume 7
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