Standardization of size, shape and internal structure of spinal cord images: comparison of three transformation methods.

Functional fluorescence imaging has been widely applied to analyze spatio-temporal patterns of cellular dynamics in the brain and spinal cord. However, it is difficult to integrate spatial information obtained from imaging data in specific regions of interest across multiple samples, due to large va...

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Autores principales: Yasuhisa Fujiki, Shigefumi Yokota, Yasumasa Okada, Yoshitaka Oku, Yoshiyasu Tamura, Makio Ishiguro, Fumikazu Miwakeichi
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2013
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Acceso en línea:https://doaj.org/article/1a6dff5b58294af3a25a4e7320a3a3d4
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spelling oai:doaj.org-article:1a6dff5b58294af3a25a4e7320a3a3d42021-11-18T08:48:24ZStandardization of size, shape and internal structure of spinal cord images: comparison of three transformation methods.1932-620310.1371/journal.pone.0076415https://doaj.org/article/1a6dff5b58294af3a25a4e7320a3a3d42013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24223702/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Functional fluorescence imaging has been widely applied to analyze spatio-temporal patterns of cellular dynamics in the brain and spinal cord. However, it is difficult to integrate spatial information obtained from imaging data in specific regions of interest across multiple samples, due to large variability in the size, shape and internal structure of samples. To solve this problem, we attempted to standardize transversely sectioned spinal cord images focusing on the laminar structure in the gray matter. We employed three standardization methods, the affine transformation (AT), the angle-dependent transformation (ADT) and the combination of these two methods (AT+ADT). The ADT is a novel non-linear transformation method developed in this study to adjust an individual image onto the template image in the polar coordinate system. We next compared the accuracy of these three standardization methods. We evaluated two indices, i.e., the spatial distribution of pixels that are not categorized to any layer and the error ratio by the leave-one-out cross validation method. In this study, we used neuron-specific marker (NeuN)-stained histological images of transversely sectioned cervical spinal cord slices (21 images obtained from 4 rats) to create the standard atlas and also to serve for benchmark tests. We found that the AT+ADT outperformed other two methods, though the accuracy of each method varied depending on the layer. This novel image standardization technique would be applicable to optical recording such as voltage-sensitive dye imaging, and will enable statistical evaluations of neural activation across multiple samples.Yasuhisa FujikiShigefumi YokotaYasumasa OkadaYoshitaka OkuYoshiyasu TamuraMakio IshiguroFumikazu MiwakeichiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 11, p e76415 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yasuhisa Fujiki
Shigefumi Yokota
Yasumasa Okada
Yoshitaka Oku
Yoshiyasu Tamura
Makio Ishiguro
Fumikazu Miwakeichi
Standardization of size, shape and internal structure of spinal cord images: comparison of three transformation methods.
description Functional fluorescence imaging has been widely applied to analyze spatio-temporal patterns of cellular dynamics in the brain and spinal cord. However, it is difficult to integrate spatial information obtained from imaging data in specific regions of interest across multiple samples, due to large variability in the size, shape and internal structure of samples. To solve this problem, we attempted to standardize transversely sectioned spinal cord images focusing on the laminar structure in the gray matter. We employed three standardization methods, the affine transformation (AT), the angle-dependent transformation (ADT) and the combination of these two methods (AT+ADT). The ADT is a novel non-linear transformation method developed in this study to adjust an individual image onto the template image in the polar coordinate system. We next compared the accuracy of these three standardization methods. We evaluated two indices, i.e., the spatial distribution of pixels that are not categorized to any layer and the error ratio by the leave-one-out cross validation method. In this study, we used neuron-specific marker (NeuN)-stained histological images of transversely sectioned cervical spinal cord slices (21 images obtained from 4 rats) to create the standard atlas and also to serve for benchmark tests. We found that the AT+ADT outperformed other two methods, though the accuracy of each method varied depending on the layer. This novel image standardization technique would be applicable to optical recording such as voltage-sensitive dye imaging, and will enable statistical evaluations of neural activation across multiple samples.
format article
author Yasuhisa Fujiki
Shigefumi Yokota
Yasumasa Okada
Yoshitaka Oku
Yoshiyasu Tamura
Makio Ishiguro
Fumikazu Miwakeichi
author_facet Yasuhisa Fujiki
Shigefumi Yokota
Yasumasa Okada
Yoshitaka Oku
Yoshiyasu Tamura
Makio Ishiguro
Fumikazu Miwakeichi
author_sort Yasuhisa Fujiki
title Standardization of size, shape and internal structure of spinal cord images: comparison of three transformation methods.
title_short Standardization of size, shape and internal structure of spinal cord images: comparison of three transformation methods.
title_full Standardization of size, shape and internal structure of spinal cord images: comparison of three transformation methods.
title_fullStr Standardization of size, shape and internal structure of spinal cord images: comparison of three transformation methods.
title_full_unstemmed Standardization of size, shape and internal structure of spinal cord images: comparison of three transformation methods.
title_sort standardization of size, shape and internal structure of spinal cord images: comparison of three transformation methods.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/1a6dff5b58294af3a25a4e7320a3a3d4
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