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Dynamic PET image denoising
| dc.contributor.author | González-Gutiérrez, Paulo | |
| dc.contributor.author | Alcaino-Jaque, Barbara E. | |
| dc.contributor.author | Barrientos, Ricardo | |
| dc.contributor.author | Mora, Marco | |
| dc.contributor.author | Tirado-Marabolí, Felipe | |
| dc.contributor.author | Tauber, Clovis | |
| dc.date.accessioned | 2019-05-28T15:10:40Z | |
| dc.date.available | 2019-05-28T15:10:40Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | http://repositorio.ucm.cl/handle/ucm/2188 | |
| dc.description.abstract | Dynamic Positron Emission Tomography (dPET) images are inherently affected by noise and low spatial resolution. The problems aforementioned may lead to incorrect estimation of the uptake of the tracer in tissues. In this work, we present a novel method for enhancing the signal-to-noise ratio of dPET images. The method consist in a edge preserving filter based upon an indirect image. The indirect image give orientation to the treatment so as to process all frames at the same fashion. We exploit the spatial and temporal information along the entire sequence in order to adapt the filtering process to preserve edges between functional regions. Comparative experimentations on realistic simulations validate the potential of the proposed method. | es_CL |
| dc.language.iso | en | es_CL |
| dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Chile | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | * |
| dc.source | 9th International Conference on Pattern Recognition Systems, 2018(CP745), 12-17 | es_CL |
| dc.title | Dynamic PET image denoising | es_CL |
| dc.type | Article | es_CL |
| dc.ucm.facultad | Facultad de Ciencias de la Ingeniería | es_CL |
| dc.ucm.indexacion | Scopus | es_CL |
| dc.ucm.uri | digital-library.theiet.org/content/conferences/10.1049/cp.2018.1279 | es_CL |
| dc.ucm.doi | doi.org/10.1049/cp.2018.1279 | es_CL |
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