A Public dynamic PET brain database for lesion detection and quantification
Resumen:
Purpose: Dynamic PET imaging gives insight into various metabolic processes. Considerable work has been carried out with the aim of facilitate visual inspection and interpretation of the studies. However, comparison between different algorithms and methods is an arduous task. Source codes are rarely distributed, and if available, there is no single, unified public database to test them on. Therefore, turns out mandatory for any new research team, to invest considerable time and effort in acquiring or creating their own database before diving headlong into research. This paper presents a dynamic PET brain database. Methods: The ASIM and STIR software packages are used to simulate and reconstruct phantoms based on a pharmacokinetic model activity. Results: There are 18 phantoms in total, each with 5 implanted regions, and with varying lesion activities. Conclusions: Phantoms are made available to the community. We hope this makes intercomparisons between algorithms easier, as well as accelerate the research process in the area
| 2015 | |
| Procesamiento de Señales | |
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/42665 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522940395192320 |
|---|---|
| author | Martínez, Natalia |
| author2 | Bertrán, Martín Carbajal, Guillermo Fernández, Alicia Gómez, Alvaro |
| author2_role | author author author author |
| author_facet | Martínez, Natalia Bertrán, Martín Carbajal, Guillermo Fernández, Alicia Gómez, Alvaro |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Martínez, Natalia Bertrán, Martín Carbajal, Guillermo Fernández, Alicia Gómez, Alvaro |
| dc.date.accessioned.none.fl_str_mv | 2024-02-26T19:52:31Z |
| dc.date.available.none.fl_str_mv | 2024-02-26T19:52:31Z |
| dc.date.issued.es.fl_str_mv | 2015 |
| dc.date.submitted.es.fl_str_mv | 20240223 |
| dc.description.abstract.none.fl_txt_mv | Purpose: Dynamic PET imaging gives insight into various metabolic processes. Considerable work has been carried out with the aim of facilitate visual inspection and interpretation of the studies. However, comparison between different algorithms and methods is an arduous task. Source codes are rarely distributed, and if available, there is no single, unified public database to test them on. Therefore, turns out mandatory for any new research team, to invest considerable time and effort in acquiring or creating their own database before diving headlong into research. This paper presents a dynamic PET brain database. Methods: The ASIM and STIR software packages are used to simulate and reconstruct phantoms based on a pharmacokinetic model activity. Results: There are 18 phantoms in total, each with 5 implanted regions, and with varying lesion activities. Conclusions: Phantoms are made available to the community. We hope this makes intercomparisons between algorithms easier, as well as accelerate the research process in the area |
| dc.identifier.citation.es.fl_str_mv | Martínez, N., Bertrán, M., Carbajal, G., Fernández, A., Gómez, Á. "A Public dynamic PET brain database for lesion detection and quantification First". Montev ideo : Udelar.FI, 2015. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/42665 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | Udelar.FI |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.other.es.fl_str_mv | Procesamiento de Señales |
| dc.title.none.fl_str_mv | A Public dynamic PET brain database for lesion detection and quantification |
| dc.type.es.fl_str_mv | Artículo |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | Purpose: Dynamic PET imaging gives insight into various metabolic processes. Considerable work has been carried out with the aim of facilitate visual inspection and interpretation of the studies. However, comparison between different algorithms and methods is an arduous task. Source codes are rarely distributed, and if available, there is no single, unified public database to test them on. Therefore, turns out mandatory for any new research team, to invest considerable time and effort in acquiring or creating their own database before diving headlong into research. This paper presents a dynamic PET brain database. Methods: The ASIM and STIR software packages are used to simulate and reconstruct phantoms based on a pharmacokinetic model activity. Results: There are 18 phantoms in total, each with 5 implanted regions, and with varying lesion activities. Conclusions: Phantoms are made available to the community. We hope this makes intercomparisons between algorithms easier, as well as accelerate the research process in the area |
| eu_rights_str_mv | openAccess |
| format | article |
| id | COLIBRI_dd63f81565c486c76126588656aba28e |
| identifier_str_mv | Martínez, N., Bertrán, M., Carbajal, G., Fernández, A., Gómez, Á. "A Public dynamic PET brain database for lesion detection and quantification First". Montev ideo : Udelar.FI, 2015. |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/42665 |
| publishDate | 2015 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | 2024-02-26T19:52:31Z2024-02-26T19:52:31Z201520240223Martínez, N., Bertrán, M., Carbajal, G., Fernández, A.,Gómez, Á. "A Public dynamic PET brain database for lesion detection and quantification First". Montev ideo : Udelar.FI, 2015.https://hdl.handle.net/20.500.12008/42665Purpose: Dynamic PET imaging gives insight into various metabolic processes. Considerable work has been carried out with the aim of facilitate visual inspection and interpretation of the studies. However, comparison between different algorithms and methods is an arduous task. Source codes are rarely distributed, and if available, there is no single, unified public database to test them on. Therefore, turns out mandatory for any new research team, to invest considerable time and effort in acquiring or creating their own database before diving headlong into research. This paper presents a dynamic PET brain database. Methods: The ASIM and STIR software packages are used to simulate and reconstruct phantoms based on a pharmacokinetic model activity. Results: There are 18 phantoms in total, each with 5 implanted regions, and with varying lesion activities. Conclusions: Phantoms are made available to the community. We hope this makes intercomparisons between algorithms easier, as well as accelerate the research process in the areaMade available in DSpace on 2024-02-26T19:52:31Z (GMT). No. of bitstreams: 5 MBCFG15.pdf: 1034198 bytes, checksum: 9d68013ee95128aefbf5efc2126123a0 (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4244 bytes, checksum: 528b6a3c8c7d0c6e28129d576e989607 (MD5) Previous issue date: 2015enengUdelar.FILas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Procesamiento de SeñalesA Public dynamic PET brain database for lesion detection and quantificationArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaMartínez, NataliaBertrán, MartínCarbajal, GuillermoFernández, AliciaGómez, AlvaroProcesamiento de SeñalesTratamiento de 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- Universidad de la Repúblicafalse |
| spellingShingle | A Public dynamic PET brain database for lesion detection and quantification Martínez, Natalia Procesamiento de Señales |
| status_str | publishedVersion |
| title | A Public dynamic PET brain database for lesion detection and quantification |
| title_full | A Public dynamic PET brain database for lesion detection and quantification |
| title_fullStr | A Public dynamic PET brain database for lesion detection and quantification |
| title_full_unstemmed | A Public dynamic PET brain database for lesion detection and quantification |
| title_short | A Public dynamic PET brain database for lesion detection and quantification |
| title_sort | A Public dynamic PET brain database for lesion detection and quantification |
| topic | Procesamiento de Señales |
| url | https://hdl.handle.net/20.500.12008/42665 |
