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

Ortuño Fisac, Juan Enrique and Sportelli, Giancarlo and Guerra Gutiérrez, Pedro and Santos Lleo, Andres de (2011). Projector Model for Efficient List-Mode Reconstruction in PET Scanners with Parallel Planar Detectors. In: "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.

Description

Title: Projector Model for Efficient List-Mode Reconstruction in PET Scanners with Parallel Planar Detectors
Author/s:
  • Ortuño Fisac, Juan Enrique
  • Sportelli, Giancarlo
  • Guerra Gutiérrez, Pedro
  • Santos Lleo, Andres de
Item Type: Presentation at Congress or Conference (Article)
Event Title: IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011
Event Dates: 23/10/2011 - 29/10/2011
Event Location: Valencia, España
Title of Book: Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2011
Date: 2011
ISBN: 978-1-4673-0118-3
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 12091
DC Identifier: http://oa.upm.es/12091/
OAI Identifier: oai:oa.upm.es:12091
DOI: 10.1109/NSSMIC.2011.6153800
Official URL: http://www.nss-mic.org/2011/NSSMain.asp
Deposited by: Memoria Investigacion
Deposited on: 12 Sep 2012 12:42
Last Modified: 21 Apr 2016 11:16
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