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Journal articles
Assessment of a fully 3D Monte Carlo reconstruction method for preclinical PET with iodine-124
Abstract : Iodine-124 is a radionuclide well suited to the labeling of intact monoclonal antibodies. Yet, accurate quantification in preclinical imaging with I-124 is challenging due to the large positron range and a complex decay scheme including high-energy gammas. The aim of this work was to assess the quantitative performance of a fully 3D Monte Carlo (MC) reconstruction for preclinical I-124 PET. The high-resolution small animal PET Inveon (Siemens) was simulated using GATE 6.1. Three system matrices (SM) of different complexity were calculated in addition to a Siddon-based ray tracing approach for comparison purpose. Each system matrix accounted for a more or less complete description of the physics processes both in the scanned object and in the PET scanner. One homogeneous water phantom and three heterogeneous phantoms including water, lungs and bones were simulated, where hot and cold regions were used to assess activity recovery as well as the trade-off between contrast recovery and noise in different regions. The benefit of accounting for scatter, attenuation, positron range and spurious coincidences occurring in the object when calculating the system matrix used to reconstruct I-124 PET images was highlighted. We found that the use of an MC SM including a thorough modelling of the detector response and physical effects in a uniform water-equivalent phantom was efficient to get reasonable quantitative accuracy in homogeneous and heterogeneous phantoms. Modelling the phantom heterogeneities in the SM did not necessarily yield the most accurate estimate of the activity distribution, due to the high variance affecting many SM elements in the most sophisticated SM.
https://www.hal.inserm.fr/inserm-01818704
Contributor : Elizabeth Bernardo <>
Submitted on : Tuesday, June 19, 2018 - 2:20:46 PM
Last modification on : Saturday, December 26, 2020 - 12:52:04 PM
Contributor : Elizabeth Bernardo <>
Submitted on : Tuesday, June 19, 2018 - 2:20:46 PM
Last modification on : Saturday, December 26, 2020 - 12:52:04 PM
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