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dc.contributor.author | Moliner Martínez, Laura | es_ES |
dc.contributor.author | Correcher Salvador, Carlos | es_ES |
dc.contributor.author | Giménez-Alventosa, Vicent | es_ES |
dc.contributor.author | Ilisie, V. | es_ES |
dc.contributor.author | Álvarez-Gómez, Juan Manuel | es_ES |
dc.contributor.author | Sánchez Góez, Sebastián | es_ES |
dc.contributor.author | Rodríguez-Álvarez, MJ | es_ES |
dc.date.accessioned | 2019-03-09T21:01:35Z | |
dc.date.available | 2019-03-09T21:01:35Z | |
dc.date.issued | 2017 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/117895 | |
dc.description.abstract | [EN] Nowadays, with the increase of the computational power of modern computers together with the state-of-the-art reconstruction algorithms, it is possible to obtain Positron Emission Tomography (PET) images in practically real time. These facts open the door to new applications such as radio-pharmaceuticals tracking inside the body or the use of PET for image-guided procedures, such as biopsy interventions, among others. This work is a proof of concept that aims to improve the user experience with real time PET images. Fixed, incremental, overlapping, sliding and hybrid windows are the different statistical combinations of data blocks used to generate intermediate images in order to follow the path of the activity in the Field Of View (FOV). To evaluate these different combinations, a point source is placed in a dedicated breast PET device and moved along the FOV. These acquisitions are reconstructed according to the different statistical windows, resulting in a smoother transition of positions for the image reconstructions that use the sliding and hybrid window. | es_ES |
dc.description.sponsorship | This study has been realized in the context of the European Union's Seventh Framework Programme for research. L. Moliner was financed with VALi+d program grant. | |
dc.language | Inglés | es_ES |
dc.publisher | IOP Publishing | es_ES |
dc.relation.ispartof | Journal of Physics: Conference Series (Online) | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.title | Strategies of statistical windows in PET image reconstruction to improve the user s real time experience | es_ES |
dc.type | Artículo | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.1088/1742-6596/931/1/012025 | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada | es_ES |
dc.description.bibliographicCitation | Moliner Martínez, L.; Correcher Salvador, C.; Giménez-Alventosa, V.; Ilisie, V.; Álvarez-Gómez, JM.; Sánchez Góez, S.; Rodríguez-Álvarez, M. (2017). Strategies of statistical windows in PET image reconstruction to improve the user s real time experience. Journal of Physics: Conference Series (Online). 931:1-4. https://doi.org/10.1088/1742-6596/931/1/012025 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | International Conference on Bio-Medical Instrumentation and related Engineering and Physical Sciences (BIOMEP 2017) | es_ES |
dc.relation.conferencedate | Octubre 12-13,2017 | es_ES |
dc.relation.conferenceplace | Athens, Greece | es_ES |
dc.relation.publisherversion | http://doi.org/10.1088/1742-6596/931/1/012025 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 4 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 931 | es_ES |
dc.identifier.eissn | 1742-6596 | es_ES |
dc.relation.pasarela | S\363631 | es_ES |
dc.contributor.funder | European Commission | |
dc.contributor.funder | Generalitat Valenciana |