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Strategies of statistical windows in PET image reconstruction to improve the user s real time experience

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Strategies of statistical windows in PET image reconstruction to improve the user s real time experience

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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


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