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Facial landmark localization by curvature maps and profile analysis
INTRODUCTION: Three-dimensional landmarks of the face are important for orthodontic examination, harmony assessment and treatment planning. Currently, facial landmarks are often measured by orthodontists via direct observation and manual soft tissue image analysis. This study wants to evaluate and p...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4364336/ https://www.ncbi.nlm.nih.gov/pubmed/25488063 http://dx.doi.org/10.1186/1746-160X-10-54 |
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author | Lippold, Carsten Liu, Xiang Wangdo, Kim Drerup, Burkhard Schreiber, Kristina Kirschneck, Christian Moiseenko, Tatjana Danesh, Gholamreza |
author_facet | Lippold, Carsten Liu, Xiang Wangdo, Kim Drerup, Burkhard Schreiber, Kristina Kirschneck, Christian Moiseenko, Tatjana Danesh, Gholamreza |
author_sort | Lippold, Carsten |
collection | PubMed |
description | INTRODUCTION: Three-dimensional landmarks of the face are important for orthodontic examination, harmony assessment and treatment planning. Currently, facial landmarks are often measured by orthodontists via direct observation and manual soft tissue image analysis. This study wants to evaluate and present an objective method for measuring selected facial landmarks based on an analysis of curvature maps and of sagittal profile obtained by a laser-scanning method. METHODS: The faces of 15 people were scanned in 3D by means of the laser scanner FastSCAN™. It allowed the recording of a curvature map of the face in under a minute, which depicted the distribution of Gaussian and mean curvatures. The median-sagittal profile line of the face was localized in this map, and a mathematical analysis comprising its first and second derivatives was performed. Anatomical landmarks were identified and facial measurements performed. To assess validity the obtained data were compared with manual measurements by orthodontists by means of Lin’s concordance correlation CCC coefficient and reliability was determined by consecutive measurements. RESULTS: Facial landmarks, such as the soft tissue glabella and nasal tip, could be easily and accurately identified and located. Lin’s CCC showed substantial agreement between digital and manual measurements for 4 of the 7 distances evaluated. Larger discrepancies were due to inadequate image quality and scanning errors. Reliability of consecutive measurements by the same operator was excellent. CONCLUSIONS: In our pilot study the three-dimensional laser-scanning method FastSCAN™ allowed a reliable and accurate identification of anatomical landmarks of the face. The obtained distances between certain landmarks, such as the intercanthal distance, were largely consistent with those from manual measurements. Due to its easy and rapid implementation, the method facilitates facial analysis and could be a clinically valid alternative to manual measurements, when remaining problems in scanning accuracy can be resolved. |
format | Online Article Text |
id | pubmed-4364336 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43643362015-03-19 Facial landmark localization by curvature maps and profile analysis Lippold, Carsten Liu, Xiang Wangdo, Kim Drerup, Burkhard Schreiber, Kristina Kirschneck, Christian Moiseenko, Tatjana Danesh, Gholamreza Head Face Med Research INTRODUCTION: Three-dimensional landmarks of the face are important for orthodontic examination, harmony assessment and treatment planning. Currently, facial landmarks are often measured by orthodontists via direct observation and manual soft tissue image analysis. This study wants to evaluate and present an objective method for measuring selected facial landmarks based on an analysis of curvature maps and of sagittal profile obtained by a laser-scanning method. METHODS: The faces of 15 people were scanned in 3D by means of the laser scanner FastSCAN™. It allowed the recording of a curvature map of the face in under a minute, which depicted the distribution of Gaussian and mean curvatures. The median-sagittal profile line of the face was localized in this map, and a mathematical analysis comprising its first and second derivatives was performed. Anatomical landmarks were identified and facial measurements performed. To assess validity the obtained data were compared with manual measurements by orthodontists by means of Lin’s concordance correlation CCC coefficient and reliability was determined by consecutive measurements. RESULTS: Facial landmarks, such as the soft tissue glabella and nasal tip, could be easily and accurately identified and located. Lin’s CCC showed substantial agreement between digital and manual measurements for 4 of the 7 distances evaluated. Larger discrepancies were due to inadequate image quality and scanning errors. Reliability of consecutive measurements by the same operator was excellent. CONCLUSIONS: In our pilot study the three-dimensional laser-scanning method FastSCAN™ allowed a reliable and accurate identification of anatomical landmarks of the face. The obtained distances between certain landmarks, such as the intercanthal distance, were largely consistent with those from manual measurements. Due to its easy and rapid implementation, the method facilitates facial analysis and could be a clinically valid alternative to manual measurements, when remaining problems in scanning accuracy can be resolved. BioMed Central 2014-12-08 /pmc/articles/PMC4364336/ /pubmed/25488063 http://dx.doi.org/10.1186/1746-160X-10-54 Text en © Lippold et al.; licensee BioMed Central. 2014 This article is published under license to BioMed Central Ltd. 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 credited. 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 Lippold, Carsten Liu, Xiang Wangdo, Kim Drerup, Burkhard Schreiber, Kristina Kirschneck, Christian Moiseenko, Tatjana Danesh, Gholamreza Facial landmark localization by curvature maps and profile analysis |
title | Facial landmark localization by curvature maps and profile analysis |
title_full | Facial landmark localization by curvature maps and profile analysis |
title_fullStr | Facial landmark localization by curvature maps and profile analysis |
title_full_unstemmed | Facial landmark localization by curvature maps and profile analysis |
title_short | Facial landmark localization by curvature maps and profile analysis |
title_sort | facial landmark localization by curvature maps and profile analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4364336/ https://www.ncbi.nlm.nih.gov/pubmed/25488063 http://dx.doi.org/10.1186/1746-160X-10-54 |
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