A generalized simulation description language

Harrison, Robert L.; Kinahan, Paul E.; Lewellen, T.K.

doi:10.1109/nssmic.2007.4436993

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…Simulated PET studies were generated by MC simulation of the previously described anthropomorphic phantoms. We used the open access package SimSET version 2.9.1 (Simulation System for Emission Tomography) (Harrison et al 1997, Harrison 2010, which includes simulation code for relevant processes in PET imaging related with positrons and their annihilation (positron range and non-colinearity) and emitted photons (photoelectric effect, coherent scattering, and incoherent scattering) for energies of interest in nuclear medicine (below 1 MeV). Detector geometry was based on previous MC models for the General Electric (GE) Advance NXi scanner (Barret et al 2005, Silva-Rodríguez et al 2014, the scanner present at our Nuclear Medicine Department.…”

Section: Monte Carlo Simulationmentioning

confidence: 99%

Impact and correction of the bladder uptake on¹⁸F-FCH PET quantification: a simulation study using the XCAT2 phantom

et al. 2016

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The spill-in counts from neighbouring regions can significantly bias the quantification over small regions close to high activity extended sources. This effect can be a drawback for 18 F-based radiotracers positron emission tomography (PET) when quantitatively evaluating the bladder area for diseases such as prostate cancer. In this work, we use Monte Carlo simulations to investigate the impact of the spill-in counts from the bladder on the quantitative evaluation of prostate cancer when using 18 F-Fluorcholine (FCH) PET and we propose a novel reconstruction-based correction method. Monte Carlo simulations of a modified version of the XCAT2 anthropomorphic

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Section: Monte Carlo Simulationmentioning

confidence: 99%

Impact and correction of the bladder uptake on¹⁸F-FCH PET quantification: a simulation study using the XCAT2 phantom

et al. 2016

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Spill-in counts in the quantification of 18F-florbetapir on Aβ-negative subjects: the effect of including white matter in the reference region

López‐González

Moscoso²,

Efthimiou

et al. 2019

EJNMMI Phys

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BackgroundWe aim to provide a systematic study of the impact of white matter (WM) spill-in on the calculation of standardized uptake value ratios (SUVRs) on Aβ-negative subjects, and we study the effect of including WM in the reference region as a compensation. In addition, different partial volume correction (PVC) methods are applied and evaluated.MethodsWe evaluated magnetic resonance imaging and 18F-AV-45 positron emission tomography data from 122 cognitively normal (CN) patients recruited at the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Cortex SUVRs were obtained by using the cerebellar grey matter (CGM) (SUVRCGM) and the whole cerebellum (SUVRWC) as reference regions. The correlations between the different SUVRs and the WM uptake (WM-SUVRCGM) were studied in patients, and in a well-controlled framework based on Monte Carlo (MC) simulation. Activity maps for the MC simulation were derived from ADNI patients by using a voxel-wise iterative process (BrainViset). Ten WM uptakes covering the spectrum of WM values obtained from patient data were simulated for different patients. Three different PVC methods were tested (a) the regional voxel-based (RBV), (b) the iterative Yang (iY), and (c) a simplified analytical correction derived from our MC simulation.ResultsWM-SUVRCGM followed a normal distribution with an average of 1.79 and a standard deviation of 0.243 (13.6%). SUVRCGM was linearly correlated to WM-SUVRCGM (r = 0.82, linear fit slope = 0.28). SUVRWC was linearly correlated to WM-SUVRCGM (r = 0.64, linear fit slope = 0.13). Our MC results showed that these correlations are compatible with those produced by isolated spill-in effect (slopes of 0.23 and 0.11). The impact of the spill-in was mitigated by using PVC for SUVRCGM (slopes of 0.06 and 0.07 for iY and RBV), while SUVRWC showed a negative correlation with SUVRCGM after PVC. The proposed analytical correction also reduced the observed correlations when applied to patient data (r = 0.27 for SUVRCGM, r = 0.18 for SUVRWC).ConclusionsThere is a high correlation between WM uptake and the measured SUVR due to spill-in effect, and that this effect is reduced when including WM in the reference region. We also evaluated the performance of PVC, and we proposed an analytical correction that can be applied to preprocessed data.

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A generalized simulation description language

Cited by 2 publications

References 4 publications

Impact and correction of the bladder uptake on¹⁸F-FCH PET quantification: a simulation study using the XCAT2 phantom

Impact and correction of the bladder uptake on¹⁸F-FCH PET quantification: a simulation study using the XCAT2 phantom

Spill-in counts in the quantification of 18F-florbetapir on Aβ-negative subjects: the effect of including white matter in the reference region

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A generalized simulation description language

Cited by 2 publications

References 4 publications

Impact and correction of the bladder uptake on18F-FCH PET quantification: a simulation study using the XCAT2 phantom

Impact and correction of the bladder uptake on18F-FCH PET quantification: a simulation study using the XCAT2 phantom

Spill-in counts in the quantification of 18F-florbetapir on Aβ-negative subjects: the effect of including white matter in the reference region

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Impact and correction of the bladder uptake on¹⁸F-FCH PET quantification: a simulation study using the XCAT2 phantom

Impact and correction of the bladder uptake on¹⁸F-FCH PET quantification: a simulation study using the XCAT2 phantom