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Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images
The 3-D spectral-domain optical coherence tomography (SD-OCT) images of the retina often do not reflect the true shape of the retina and are distorted differently along the x and y axes. In this paper, we propose a novel technique that uses thin-plate splines in two stages to estimate and correct th...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Optical Society of America
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3149538/ https://www.ncbi.nlm.nih.gov/pubmed/21833377 http://dx.doi.org/10.1364/BOE.2.002403 |
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author | Antony, Bhavna Abràmoff, Michael D. Tang, Li Ramdas, Wishal D. Vingerling, Johannes R. Jansonius, Nomdo M. Lee, Kyungmoo Kwon, Young H. Sonka, Milan Garvin, Mona K. |
author_facet | Antony, Bhavna Abràmoff, Michael D. Tang, Li Ramdas, Wishal D. Vingerling, Johannes R. Jansonius, Nomdo M. Lee, Kyungmoo Kwon, Young H. Sonka, Milan Garvin, Mona K. |
author_sort | Antony, Bhavna |
collection | PubMed |
description | The 3-D spectral-domain optical coherence tomography (SD-OCT) images of the retina often do not reflect the true shape of the retina and are distorted differently along the x and y axes. In this paper, we propose a novel technique that uses thin-plate splines in two stages to estimate and correct the distinct axial artifacts in SD-OCT images. The method was quantitatively validated using nine pairs of OCT scans obtained with orthogonal fast-scanning axes, where a segmented surface was compared after both datasets had been corrected. The mean unsigned difference computed between the locations of this artifact-corrected surface after the single-spline and dual-spline correction was 23.36 ± 4.04 μm and 5.94 ± 1.09 μm, respectively, and showed a significant difference (p < 0.001 from two-tailed paired t-test). The method was also validated using depth maps constructed from stereo fundus photographs of the optic nerve head, which were compared to the flattened top surface from the OCT datasets. Significant differences (p < 0.001) were noted between the artifact-corrected datasets and the original datasets, where the mean unsigned differences computed over 30 optic-nerve-head-centered scans (in normalized units) were 0.134 ± 0.035 and 0.302 ± 0.134, respectively. |
format | Online Article Text |
id | pubmed-3149538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Optical Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-31495382011-08-10 Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images Antony, Bhavna Abràmoff, Michael D. Tang, Li Ramdas, Wishal D. Vingerling, Johannes R. Jansonius, Nomdo M. Lee, Kyungmoo Kwon, Young H. Sonka, Milan Garvin, Mona K. Biomed Opt Express Optical Coherence Tomography The 3-D spectral-domain optical coherence tomography (SD-OCT) images of the retina often do not reflect the true shape of the retina and are distorted differently along the x and y axes. In this paper, we propose a novel technique that uses thin-plate splines in two stages to estimate and correct the distinct axial artifacts in SD-OCT images. The method was quantitatively validated using nine pairs of OCT scans obtained with orthogonal fast-scanning axes, where a segmented surface was compared after both datasets had been corrected. The mean unsigned difference computed between the locations of this artifact-corrected surface after the single-spline and dual-spline correction was 23.36 ± 4.04 μm and 5.94 ± 1.09 μm, respectively, and showed a significant difference (p < 0.001 from two-tailed paired t-test). The method was also validated using depth maps constructed from stereo fundus photographs of the optic nerve head, which were compared to the flattened top surface from the OCT datasets. Significant differences (p < 0.001) were noted between the artifact-corrected datasets and the original datasets, where the mean unsigned differences computed over 30 optic-nerve-head-centered scans (in normalized units) were 0.134 ± 0.035 and 0.302 ± 0.134, respectively. Optical Society of America 2011-07-27 /pmc/articles/PMC3149538/ /pubmed/21833377 http://dx.doi.org/10.1364/BOE.2.002403 Text en ©2011 Optical Society of America http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially. |
spellingShingle | Optical Coherence Tomography Antony, Bhavna Abràmoff, Michael D. Tang, Li Ramdas, Wishal D. Vingerling, Johannes R. Jansonius, Nomdo M. Lee, Kyungmoo Kwon, Young H. Sonka, Milan Garvin, Mona K. Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images |
title | Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images |
title_full | Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images |
title_fullStr | Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images |
title_full_unstemmed | Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images |
title_short | Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images |
title_sort | automated 3-d method for the correction of axial artifacts in spectral-domain optical coherence tomography images |
topic | Optical Coherence Tomography |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3149538/ https://www.ncbi.nlm.nih.gov/pubmed/21833377 http://dx.doi.org/10.1364/BOE.2.002403 |
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