Data availability from the PONE-D-20-28702 manuscript

Cláudia Régio Brambilla 8735b9f362 Atualizar 'datacite.yml' 11 months ago
Data 3ae3317e0f Enviar arquivos para 'Data' 11 months ago
LICENSE 1b278e2c3e Atualizar 'LICENSE' 11 months ago
README.md 70f51898c0 Atualizar 'README.md' 11 months ago
datacite.yml 8735b9f362 Atualizar 'datacite.yml' 11 months ago

README.md

# Bias Evaluation and Reduction in 3D OP-OSEM Reconstruction in Dynamic Equilibrium PET Studies with 11C-labeled for Binding Potential Analysis

Data availability - PONE-D-20-28702

Authors: Cláudia Régio Brambilla[1,2], Jürgen Scheins[1], Ahlam Issa[1], Lutz Tellmann[1], Hans Herzog[1], Elena Rota Kops[1], N. Jon Shah[1,3,4,5], Irene Neuner[1,2,4], Christoph W. Lerche[1]

1-Institute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, 52428 Jülich, Germany 2-Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Pauwelsstraße 30, 52074 Aachen, Germany 3-Institute of Neuroscience and Medicine, INM-11, Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, 52428 Jülich, Germany 4-JARA – BRAIN – Translational Medicine, RWTH Aachen University, Pauwelsstraße 30, 52074 Aachen, Germany 5-Department of Neurology, RWTH Aachen University, Pauwelsstraße 30, 52074 Aachen, Germany

Abstract

Iterative image reconstruction is widely used in positron emission tomography. However, it is known to contribute to quantitation bias and is particularly pronounced during dynamic studies with 11C-labeled radiotracers where count rates become low towards the end of the acquisition. As the strength of the quantitation bias depends on the counts in the reconstructed frame, it can differ from frame to frame of the acquisition. This is especially relevant in the case of neuro-receptor studies with simultaneous PET/MR when a bolus-infusion protocol is applied to allow the comparison of pre- and post-task effects. Here, count dependent changes in quantitation bias may interfere with task changes. We evaluated the impact of different framing schemes on quantitation bias and its propagation into binding potential (BP) using a phantom decay study with 11C and 3D OP-OSEM. Further, we propose a framing scheme that keeps the true counts per frame constant over the acquisition time as constant framing schemes and conventional increasing framing schemes are unlikely to achieve stable bias values during the acquisition time range. For a constant framing scheme with 5 minutes frames, the BP bias was 7.13 ± 2.01% (10.8% to 3.8%) compared to 5.63±2.85% (7.8% to 4.0%) for conventional increasing framing schemes. Using the proposed constant true counts framing scheme, a stabilization of the BP bias was achieved at 2.56 ± 3.92% (3.5% to 1.7%). The change in BP bias was further studied by evaluating the linear slope during the acquisition time interval. The lowest slope values were observed in the constant true counts framing scheme. The constant true counts framing scheme was effective for BP bias stabilization at relevant activity and time ranges. The mean BP bias under these conditions was 2.56 ± 3.92%, which represents the lower limit for the detection of changes in BP during equilibrium and is especially important in the case of cognitive tasks where the expected changes are low.

Inside Data/PLOsONE_data folder you will find:

a) Folder Bias_Data_Fit:

  • BiasBPnd001 and
  • Phantom002

*They have respectively BP values and activity concentration values used for the fit - linear regression analysis (performed with Mathematica https://www.wolfram.com/mathematica/).

b) Excel worksheets 1, 2 and 3 with the reconstruction framing method:

  • there are informations about true activity in the phantom and quantification accuracy, SE propagation, etc...
  • these data were used to plot the box plots in OriginPro software [https://www.originlab.com/]
datacite.yml
Title Bias Evaluation and Reduction in 3D OP-OSEM Reconstruction in Dynamic Equilibrium PET Studies with 11C-labeled for Binding Potential Analysis
Authors Régio Brambilla,Cláudia;Institute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH and Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University;ORCID:0000-0002-3735-8511
Scheins,Jürgen;Institute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH;ORCID:0000-0003-3474-430X
Issa,Ahlam;Institute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH;ORCID:0000-0002-9651-510X
Tellmann,Lutz;Institute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH;ORCID:0000-0002-1154-2847
Herzog,Hans;Institute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH;ORCID:0000-0002-6751-7165
Rota Kops,Elena;Institute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH;ResearcherID:H-8973-2013
Shah,N. Jon;Institute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH, Institute of Neuroscience and Medicine, INM-11, Forschungszentrum Jülich GmbH, JARA – BRAIN – Translational Medicine, RWTH Aachen University and Department of Neurology, RWTH Aachen University;ResearcherID:H-5849-2013
Neuner,Irene;Institute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH, JARA – BRAIN – Translational Medicine, RWTH Aachen University and Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University;ORCID:0000-0002-5164-8873
W. Lerche,Christoph;Institute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH;ORCID:0000-0003-2749-2108
Description We provide support data used in the manuscript analysis
License CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/)
References Cláudia Régio Brambilla, Jürgen Scheins, Ahlam Issa, Lutz Tellmann, Hans Herzog, Elena Rota Kops, N. Jon Shah, Irene Neuner, Christoph W. Lerche. Bias Evaluation and Reduction in 3D OP-OSEM Reconstruction in Dynamic Equilibrium PET Studies with 11C-labeled for Binding Potential Analysis. Under review PONE-D-20-28702. [DOI:10.21203/rs.3.rs-35926/v1] (IsSupplementTo)
Shepp LA, Vardi Y. Maximum likelihood reconstruction for emission tomography. IEEE Trans Med Imaging. 1982;1(2):113-22. PMID: 18238264. [DOI:10.1109/TMI.1982.4307558] (IsSupplementTo)
van Velden FH, Kloet RW, van Berckel BN, Lammertsma AA, Boellaard R. Accuracy of 3-dimensional reconstruction algorithms for the high-resolution research tomograph. Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine. 2009 Jan;50(1):72-80. [DOI:10.2967/jnumed.108.052985] (IsSupplementTo)
Planeta-Wilson B, Yan J, Mulnix T, Carson RE. Quantitative Accuracy of HRRT List-mode Reconstructions: Effect of Low Statistics. IEEE Nucl Sci Symp Conf Rec (1997). 2008 Oct 1;2008:5121-5124. PMID: 20617118; PMCID: PMC2898285. [DOI:10.1109/NSSMIC.2008.4774388] (IsSupplementTo)
Jian Y, Planeta B, Carson RE. Evaluation of bias and variance in low-count OSEM list mode reconstruction. Phys Med Biol. 2015 Jan 7;60(1):15-29. Epub 2014 Dec 5. PMID: 25479254; PMCID: PMC4823773. [DOI:10.1088/0031-9155/60/1/15] (IsSupplementTo)
Rogasch, J. M., Suleiman, S., Hofheinz, F., Bluemel, S., Lukas, M., Amthauer, H., & Furth, C. (2020). Reconstructed spatial resolution and contrast recovery with Bayesian penalized likelihood reconstruction (Q.Clear) for FDG-PET compared to time-of-flight (TOF) with point spread function (PSF). EJNMMI physics, 7(1), 2. [DOI:10.1186/s40658-020-0270-y] (IsSupplementTo)
Funding EU-FP7 TRIMAGE, 602621
DAAD, 57299294
Keywords Reconstruction bias
OP-OSEM
PET
11C-labeled radiotracers
Binding Potential
Quantification
Resource Type Dataset