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jClustering, an Open Framework for the Development of 4D Clustering Algorithms
We present jClustering, an open framework for the design of clustering algorithms in dynamic medical imaging. We developed this tool because of the difficulty involved in manually segmenting dynamic PET images and the lack of availability of source code for published segmentation algorithms. Providi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3750055/ https://www.ncbi.nlm.nih.gov/pubmed/23990913 http://dx.doi.org/10.1371/journal.pone.0070797 |
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author | Mateos-Pérez, José María García-Villalba, Carmen Pascau, Javier Desco, Manuel Vaquero, Juan J. |
author_facet | Mateos-Pérez, José María García-Villalba, Carmen Pascau, Javier Desco, Manuel Vaquero, Juan J. |
author_sort | Mateos-Pérez, José María |
collection | PubMed |
description | We present jClustering, an open framework for the design of clustering algorithms in dynamic medical imaging. We developed this tool because of the difficulty involved in manually segmenting dynamic PET images and the lack of availability of source code for published segmentation algorithms. Providing an easily extensible open tool encourages publication of source code to facilitate the process of comparing algorithms and provide interested third parties with the opportunity to review code. The internal structure of the framework allows an external developer to implement new algorithms easily and quickly, focusing only on the particulars of the method being implemented and not on image data handling and preprocessing. This tool has been coded in Java and is presented as an ImageJ plugin in order to take advantage of all the functionalities offered by this imaging analysis platform. Both binary packages and source code have been published, the latter under a free software license (GNU General Public License) to allow modification if necessary. |
format | Online Article Text |
id | pubmed-3750055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37500552013-08-29 jClustering, an Open Framework for the Development of 4D Clustering Algorithms Mateos-Pérez, José María García-Villalba, Carmen Pascau, Javier Desco, Manuel Vaquero, Juan J. PLoS One Research Article We present jClustering, an open framework for the design of clustering algorithms in dynamic medical imaging. We developed this tool because of the difficulty involved in manually segmenting dynamic PET images and the lack of availability of source code for published segmentation algorithms. Providing an easily extensible open tool encourages publication of source code to facilitate the process of comparing algorithms and provide interested third parties with the opportunity to review code. The internal structure of the framework allows an external developer to implement new algorithms easily and quickly, focusing only on the particulars of the method being implemented and not on image data handling and preprocessing. This tool has been coded in Java and is presented as an ImageJ plugin in order to take advantage of all the functionalities offered by this imaging analysis platform. Both binary packages and source code have been published, the latter under a free software license (GNU General Public License) to allow modification if necessary. Public Library of Science 2013-08-22 /pmc/articles/PMC3750055/ /pubmed/23990913 http://dx.doi.org/10.1371/journal.pone.0070797 Text en © 2013 Mateos-Pérez et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Mateos-Pérez, José María García-Villalba, Carmen Pascau, Javier Desco, Manuel Vaquero, Juan J. jClustering, an Open Framework for the Development of 4D Clustering Algorithms |
title | jClustering, an Open Framework for the Development of 4D Clustering Algorithms |
title_full | jClustering, an Open Framework for the Development of 4D Clustering Algorithms |
title_fullStr | jClustering, an Open Framework for the Development of 4D Clustering Algorithms |
title_full_unstemmed | jClustering, an Open Framework for the Development of 4D Clustering Algorithms |
title_short | jClustering, an Open Framework for the Development of 4D Clustering Algorithms |
title_sort | jclustering, an open framework for the development of 4d clustering algorithms |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3750055/ https://www.ncbi.nlm.nih.gov/pubmed/23990913 http://dx.doi.org/10.1371/journal.pone.0070797 |
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