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Reproducibility of Facial Information in Three-Dimensional Reconstructed Head Images: An Exploratory Study
BACKGROUND: Facial information acquired via three-dimensional reconstruction of head computed tomography (CT) data may be considered personal information, which can be problematic for neuroimaging studies. However, no study has verified the relationship between slice thickness and face reproducibili...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Science Publishers
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364342/ https://www.ncbi.nlm.nih.gov/pubmed/36694319 http://dx.doi.org/10.2174/1573405619666230123105057 |
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author | Uchida, Tatsuya Kin, Taichi Sato, Katsuya Koike, Tsukasa Kiyofuji, Satoshi Takeda, Yasuhiro Niwa, Ryoko Saito, Toki Takashima, Ikumi Kawahara, Takuya Miyawaki, Satoru Oyama, Hiroshi Saito, Nobuhito |
author_facet | Uchida, Tatsuya Kin, Taichi Sato, Katsuya Koike, Tsukasa Kiyofuji, Satoshi Takeda, Yasuhiro Niwa, Ryoko Saito, Toki Takashima, Ikumi Kawahara, Takuya Miyawaki, Satoru Oyama, Hiroshi Saito, Nobuhito |
author_sort | Uchida, Tatsuya |
collection | PubMed |
description | BACKGROUND: Facial information acquired via three-dimensional reconstruction of head computed tomography (CT) data may be considered personal information, which can be problematic for neuroimaging studies. However, no study has verified the relationship between slice thickness and face reproducibility. This study determined the relationship and match rate between image slice thickness and face detection accuracy of face-recognition software in facial reconstructed models. METHODS: Head CT data of 60 cases comprising entire faces obtained under conditions of non-contrast and 1-mm slice thickness were resampled to obtain 2-10-mm slice-thickness data. Facial models, reconstructed by image thresholding, were acquired from the data. We performed face detection tests per slice thickness on the models and calculated the face detection rate. The reconstructed facial models created from 1-mm slice-thickness data and other slice thicknesses were used as training and test data, respectively. Match confidence scores were obtained via three programs, match rates were calculated per slice thickness, and generalized estimating equations were used to evaluate the match rate trend. RESULTS: In general, the face detection rates for the 1-10-mm slice thicknesses were 100, 100, 98.3, 98.3, 95.0, 91.7, 86.7, 78.3, 68.3, and 61.7%, respectively. The match rates for the 2-10-mm slice thicknesses were 100, 98.3, 98.3, 95.0, 85.0, 71.7, 53.3, 28.3, and 16.7%, respectively. CONCLUSION: The reconstructed models tended to have higher match rates as the slice thickness decreased. Thus, thin-slice head CT imaging data may increase the possibility of the information becoming personally identifiable health information. |
format | Online Article Text |
id | pubmed-10364342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Bentham Science Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-103643422023-07-25 Reproducibility of Facial Information in Three-Dimensional Reconstructed Head Images: An Exploratory Study Uchida, Tatsuya Kin, Taichi Sato, Katsuya Koike, Tsukasa Kiyofuji, Satoshi Takeda, Yasuhiro Niwa, Ryoko Saito, Toki Takashima, Ikumi Kawahara, Takuya Miyawaki, Satoru Oyama, Hiroshi Saito, Nobuhito Curr Med Imaging Life Sciences, Systems Biology & Bioinformatics, BIOCHEMICAL RESEARCH METHODS, MATHEMATICAL & COMPUTATIONAL BIOLOGY BACKGROUND: Facial information acquired via three-dimensional reconstruction of head computed tomography (CT) data may be considered personal information, which can be problematic for neuroimaging studies. However, no study has verified the relationship between slice thickness and face reproducibility. This study determined the relationship and match rate between image slice thickness and face detection accuracy of face-recognition software in facial reconstructed models. METHODS: Head CT data of 60 cases comprising entire faces obtained under conditions of non-contrast and 1-mm slice thickness were resampled to obtain 2-10-mm slice-thickness data. Facial models, reconstructed by image thresholding, were acquired from the data. We performed face detection tests per slice thickness on the models and calculated the face detection rate. The reconstructed facial models created from 1-mm slice-thickness data and other slice thicknesses were used as training and test data, respectively. Match confidence scores were obtained via three programs, match rates were calculated per slice thickness, and generalized estimating equations were used to evaluate the match rate trend. RESULTS: In general, the face detection rates for the 1-10-mm slice thicknesses were 100, 100, 98.3, 98.3, 95.0, 91.7, 86.7, 78.3, 68.3, and 61.7%, respectively. The match rates for the 2-10-mm slice thicknesses were 100, 98.3, 98.3, 95.0, 85.0, 71.7, 53.3, 28.3, and 16.7%, respectively. CONCLUSION: The reconstructed models tended to have higher match rates as the slice thickness decreased. Thus, thin-slice head CT imaging data may increase the possibility of the information becoming personally identifiable health information. Bentham Science Publishers 2023-06-02 2023-06-02 /pmc/articles/PMC10364342/ /pubmed/36694319 http://dx.doi.org/10.2174/1573405619666230123105057 Text en © 2023 Bentham Science Publishers https://creativecommons.org/licenses/by/4.0/© 2023 The Author(s). Published by Bentham Science Publisher. This is an open access article published under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode |
spellingShingle | Life Sciences, Systems Biology & Bioinformatics, BIOCHEMICAL RESEARCH METHODS, MATHEMATICAL & COMPUTATIONAL BIOLOGY Uchida, Tatsuya Kin, Taichi Sato, Katsuya Koike, Tsukasa Kiyofuji, Satoshi Takeda, Yasuhiro Niwa, Ryoko Saito, Toki Takashima, Ikumi Kawahara, Takuya Miyawaki, Satoru Oyama, Hiroshi Saito, Nobuhito Reproducibility of Facial Information in Three-Dimensional Reconstructed Head Images: An Exploratory Study |
title | Reproducibility of Facial Information in Three-Dimensional Reconstructed Head Images: An Exploratory Study |
title_full | Reproducibility of Facial Information in Three-Dimensional Reconstructed Head Images: An Exploratory Study |
title_fullStr | Reproducibility of Facial Information in Three-Dimensional Reconstructed Head Images: An Exploratory Study |
title_full_unstemmed | Reproducibility of Facial Information in Three-Dimensional Reconstructed Head Images: An Exploratory Study |
title_short | Reproducibility of Facial Information in Three-Dimensional Reconstructed Head Images: An Exploratory Study |
title_sort | reproducibility of facial information in three-dimensional reconstructed head images: an exploratory study |
topic | Life Sciences, Systems Biology & Bioinformatics, BIOCHEMICAL RESEARCH METHODS, MATHEMATICAL & COMPUTATIONAL BIOLOGY |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364342/ https://www.ncbi.nlm.nih.gov/pubmed/36694319 http://dx.doi.org/10.2174/1573405619666230123105057 |
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