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Histogram analysis with automated extraction of brain-tissue region from whole-brain CT images
To determine whether an automated extraction of the brain-tissue region from CT images is useful for the histogram analysis of the brain-tissue region was studied. We used the CT images of 11 patients. We developed an automatic brain-tissue extraction algorithm. We evaluated the similarity index of...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4684555/ https://www.ncbi.nlm.nih.gov/pubmed/26702377 http://dx.doi.org/10.1186/s40064-015-1587-1 |
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author | Kondo, Masatoshi Yamashita, Koji Yoshiura, Takashi Hiwatash, Akio Shirasaka, Takashi Arimura, Hisao Nakamura, Yasuhiko Honda, Hiroshi |
author_facet | Kondo, Masatoshi Yamashita, Koji Yoshiura, Takashi Hiwatash, Akio Shirasaka, Takashi Arimura, Hisao Nakamura, Yasuhiko Honda, Hiroshi |
author_sort | Kondo, Masatoshi |
collection | PubMed |
description | To determine whether an automated extraction of the brain-tissue region from CT images is useful for the histogram analysis of the brain-tissue region was studied. We used the CT images of 11 patients. We developed an automatic brain-tissue extraction algorithm. We evaluated the similarity index of this automated extraction method relative to manual extraction, and we compared the mean CT number of all extracted pixels and the kurtosis and skewness of the distribution of CT numbers of all extracted pixels from the automated and manual extractions. The similarity index was 0.93. The mean CT number and the kurtosis and skewness from the automated extraction were 35.0 Hounsfield units, 0.63, and 0.51, respectively, and were equivalent to those from the manual extraction (35.4 Hounsfield units, 0.59, and 0.46, respectively). The automated extraction of the brain-tissue region from whole-brain CT images was useful for histogram analysis of the brain-tissue region. |
format | Online Article Text |
id | pubmed-4684555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-46845552015-12-23 Histogram analysis with automated extraction of brain-tissue region from whole-brain CT images Kondo, Masatoshi Yamashita, Koji Yoshiura, Takashi Hiwatash, Akio Shirasaka, Takashi Arimura, Hisao Nakamura, Yasuhiko Honda, Hiroshi Springerplus Research To determine whether an automated extraction of the brain-tissue region from CT images is useful for the histogram analysis of the brain-tissue region was studied. We used the CT images of 11 patients. We developed an automatic brain-tissue extraction algorithm. We evaluated the similarity index of this automated extraction method relative to manual extraction, and we compared the mean CT number of all extracted pixels and the kurtosis and skewness of the distribution of CT numbers of all extracted pixels from the automated and manual extractions. The similarity index was 0.93. The mean CT number and the kurtosis and skewness from the automated extraction were 35.0 Hounsfield units, 0.63, and 0.51, respectively, and were equivalent to those from the manual extraction (35.4 Hounsfield units, 0.59, and 0.46, respectively). The automated extraction of the brain-tissue region from whole-brain CT images was useful for histogram analysis of the brain-tissue region. Springer International Publishing 2015-12-18 /pmc/articles/PMC4684555/ /pubmed/26702377 http://dx.doi.org/10.1186/s40064-015-1587-1 Text en © Kondo et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Kondo, Masatoshi Yamashita, Koji Yoshiura, Takashi Hiwatash, Akio Shirasaka, Takashi Arimura, Hisao Nakamura, Yasuhiko Honda, Hiroshi Histogram analysis with automated extraction of brain-tissue region from whole-brain CT images |
title | Histogram analysis with automated extraction of brain-tissue region from whole-brain CT images |
title_full | Histogram analysis with automated extraction of brain-tissue region from whole-brain CT images |
title_fullStr | Histogram analysis with automated extraction of brain-tissue region from whole-brain CT images |
title_full_unstemmed | Histogram analysis with automated extraction of brain-tissue region from whole-brain CT images |
title_short | Histogram analysis with automated extraction of brain-tissue region from whole-brain CT images |
title_sort | histogram analysis with automated extraction of brain-tissue region from whole-brain ct images |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4684555/ https://www.ncbi.nlm.nih.gov/pubmed/26702377 http://dx.doi.org/10.1186/s40064-015-1587-1 |
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