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DESARROLLO DEL SOFTWARE PARA UN SISTEMA PET DE CRISTAL CONTINUO APLICADO AL CANCER DE MAMA

PID2019-107790RB-C22

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Nombre agencia financiadora Agencia Estatal de Investigación
Acrónimo agencia financiadora AEI
Programa Programa Estatal de I+D+i Orientado a los Retos de la Sociedad
Convocatoria Proyectos de I+D+i (Generación de Conocimiento y Retos Investigación)
Año convocatoria 2019
Unidad de gestión Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020
Centro beneficiario UNIVERSITAT POLITÈCNICA DE VALÈNCIA

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Contribución de congreso (ConferenceOutput). 2021

2D study of a joint reconstruction algorithm for limited angle PET geometries

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
  • Vergara, Marina
  • Rezaei, Ahmadreza
  • Nuyts, Johan
  • Rodríguez-Álvarez, M.J.|||0000-0001-8333-8792
  • Benlloch Baviera, Jose María|||0000-0001-6073-1436
[EN] Recently, a wide interest on organ-dedicated PET systems
has been shown. Some of those systems present geometries that produce an incomplete sampling of the tomographic data due to limited
angular coverage and/or truncation, which lead to artifacts on the
reconstructed image. Moreover, they are often designed as standalone systems, which implies the absence of anatomical information
to estimate the attenuation factors. In this work, we propose a joint
reconstruction algorithm for estimating the activity and the attenuation
factors on a limited angle PET system with time-of-flight capabilities. This algorithm is based on MLACF and uses literature linear
attenuation coefficients in a known tissue-class region to obtain an
absolute quantification. We evaluate the algorithm through simple 2D
simulations for different TOF resolutions and angular coverage. The
results show that with good TOF resolution quantitative PET imaging
can be achieved even with aggressive angular limitation.