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A fully automated and reproducible level-set segmentation approach for generation of MR-based attenuation correction map of PET images in the brain employing single STE-MR imaging modality
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4545852/ https://www.ncbi.nlm.nih.gov/pubmed/26501636 http://dx.doi.org/10.1186/2197-7364-1-S1-A48 |
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author | Kazerooni, Anahita Fathi Aarabi, Mohammad Hadi Ay, Mohammadreza Rad, Hamidreza Saligheh |
author_facet | Kazerooni, Anahita Fathi Aarabi, Mohammad Hadi Ay, Mohammadreza Rad, Hamidreza Saligheh |
author_sort | Kazerooni, Anahita Fathi |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-4545852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-45458522015-08-26 A fully automated and reproducible level-set segmentation approach for generation of MR-based attenuation correction map of PET images in the brain employing single STE-MR imaging modality Kazerooni, Anahita Fathi Aarabi, Mohammad Hadi Ay, Mohammadreza Rad, Hamidreza Saligheh EJNMMI Phys Meeting Abstract Springer International Publishing 2014-07-29 /pmc/articles/PMC4545852/ /pubmed/26501636 http://dx.doi.org/10.1186/2197-7364-1-S1-A48 Text en © Kazerooni et al; licensee Springer 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 cited. |
spellingShingle | Meeting Abstract Kazerooni, Anahita Fathi Aarabi, Mohammad Hadi Ay, Mohammadreza Rad, Hamidreza Saligheh A fully automated and reproducible level-set segmentation approach for generation of MR-based attenuation correction map of PET images in the brain employing single STE-MR imaging modality |
title | A fully automated and reproducible level-set segmentation approach for generation of MR-based attenuation correction map of PET images in the brain employing single STE-MR imaging modality |
title_full | A fully automated and reproducible level-set segmentation approach for generation of MR-based attenuation correction map of PET images in the brain employing single STE-MR imaging modality |
title_fullStr | A fully automated and reproducible level-set segmentation approach for generation of MR-based attenuation correction map of PET images in the brain employing single STE-MR imaging modality |
title_full_unstemmed | A fully automated and reproducible level-set segmentation approach for generation of MR-based attenuation correction map of PET images in the brain employing single STE-MR imaging modality |
title_short | A fully automated and reproducible level-set segmentation approach for generation of MR-based attenuation correction map of PET images in the brain employing single STE-MR imaging modality |
title_sort | fully automated and reproducible level-set segmentation approach for generation of mr-based attenuation correction map of pet images in the brain employing single ste-mr imaging modality |
topic | Meeting Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4545852/ https://www.ncbi.nlm.nih.gov/pubmed/26501636 http://dx.doi.org/10.1186/2197-7364-1-S1-A48 |
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