Cita:
Medical Physics, Vol. 40, nº 1 (2013), pp. 012504-1 – 012504-11
ISSN:
0094-2405
DOI:
10.1118/1.4771936
Agradecimientos:
This work was partially supported by Spain’s Ministry of Science and Innovation through CDTI’s CENIT program (AMIT project) and INNPACTO (PRECISION project), Instituto de Salud Carlos III (PI09/91058 and PI09/91065), and Project Nos. TEC2010-21619-C04-03 and TEC2011-28972- C02-02, Comunidad de Madrid (ARTEMIS S2009/DPI- 1802), and the European Regional Development Funds (FEDER). CIBER-BBN is an initiative funded by the VI National R&D&i Plan 2008–2011, Iniciativa Ingenio 2010, Consolider Program, CIBER Actions, and finance by the Instituto de Salud Carlos III with assistance from the European Regional Development Fund.
Proyecto:
Comunidad de Madrid. S2009/DPI-1802/ARTEMIS Gobierno de España. IPT-2011-0711-020000 (INNPACTO) Gobierno de España. TEC2010-21619-C04-03 Gobierno de España. TEC2011-28972- C02-02,
Palabras clave:
List-mode reconstruction
,
PET
,
Kernel model
,
GPU reconstruction
Purpose: A fully three-dimensional (3D) massively parallelizable list-mode ordered-subsets expectation-maximization (LM-OSEM) reconstruction algorithm has been developed for high-resolution PET cameras. System response probabilities are calculated online from Purpose: A fully three-dimensional (3D) massively parallelizable list-mode ordered-subsets expectation-maximization (LM-OSEM) reconstruction algorithm has been developed for high-resolution PET cameras. System response probabilities are calculated online from a set of parameters derived from Monte Carlo simulations. The shape of a system response for a given line of response (LOR) has been shown to be asymmetrical around the LOR. This work has been focused on the development of efficient region-search techniques to sample the system response probabilities, which are suitable for asymmetric kernel models, including elliptical Gaussian models that allow for high accuracy and high parallelization efficiency. The novel region-search scheme using variable kernel models is applied in the proposed PET reconstruction algorithm...[+][-]
