Projector Model for Efficient List-Mode Reconstruction in PET Scanners with Parallel Planar Detectors

Ortuño Fisac, Juan Enrique; Sportelli, Giancarlo; Guerra Gutiérrez, Pedro y Santos Lleo, Andres de (2011). Projector Model for Efficient List-Mode Reconstruction in PET Scanners with Parallel Planar Detectors. En: "IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011", 23/10/2011 - 29/10/2011, Valencia, España. ISBN 978-1-4673-0118-3. pp. 4180-4183. https://doi.org/10.1109/NSSMIC.2011.6153800.

Descripción

Título: Projector Model for Efficient List-Mode Reconstruction in PET Scanners with Parallel Planar Detectors
Autor/es:
  • Ortuño Fisac, Juan Enrique
  • Sportelli, Giancarlo
  • Guerra Gutiérrez, Pedro
  • Santos Lleo, Andres de
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011
Fechas del Evento: 23/10/2011 - 29/10/2011
Lugar del Evento: Valencia, España
Título del Libro: Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011
Fecha: 2011
ISBN: 978-1-4673-0118-3
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería Electrónica
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

We have developed a new projector model specifically tailored for fast list-mode tomographic reconstructions in Positron emission tomography (PET) scanners with parallel planar detectors. The model provides an accurate estimation of the probability distribution of coincidence events defined by pairs of scintillating crystals. This distribution is parameterized with 2D elliptical Gaussian functions defined in planes perpendicular to the main axis of the tube of response (TOR). The parameters of these Gaussian functions have been obtained by fitting Monte Carlo simulations that include positron range, acolinearity of gamma rays, as well as detector attenuation and scatter effects. The proposed model has been applied efficiently to list-mode reconstruction algorithms. Evaluation with Monte Carlo simulations over a rotating high resolution PET scanner indicates that this model allows to obtain better recovery to noise ratio in OSEM (ordered-subsets, expectation-maximization) reconstruction, if compared to list-mode reconstruction with symmetric circular Gaussian TOR model, and histogram-based OSEM with precalculated system matrix using Monte Carlo simulated models and symmetries.

Más información

ID de Registro: 12091
Identificador DC: http://oa.upm.es/12091/
Identificador OAI: oai:oa.upm.es:12091
Identificador DOI: 10.1109/NSSMIC.2011.6153800
URL Oficial: http://www.nss-mic.org/2011/NSSMain.asp
Depositado por: Memoria Investigacion
Depositado el: 12 Sep 2012 12:42
Ultima Modificación: 21 Abr 2016 11:16
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