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Improved Parameter-Estimation With MRI-Constrained PET Kinetic Modeling: A Simulation Study

Erlandsson, K; Liljeroth, M; Atkinson, D; Arridge, S; Ourselin, S; Hutton, BF; (2016) Improved Parameter-Estimation With MRI-Constrained PET Kinetic Modeling: A Simulation Study. IEEE Transactions on Nuclear Science , 63 (5) pp. 2464-2470. 10.1109/TNS.2015.2507444. Green open access

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Abstract

Kinetic analysis can be applied both to dynamic PET and dynamic contrast enhanced (DCE) MRI data. We have investigated the potential of MRI-constrained PET kinetic modeling using simulated [ ^{18}{\rm F} ]2-FDG data for skeletal muscle. The volume of distribution, {V_{\rm e}} , for the extra-vascular extra-cellular space (EES) is the link between the two models: It can be estimated by DCE-MRI, and then used to reduce the number of parameters to estimate in the PET model. We used a 3 tissue-compartment model with 5 rate constants (3TC5k), in order to distinguish between EES and the intra-cellular space (ICS). Time-activity curves were generated by simulation using the 3TC5k model for 3 different {V_{\rm e}} values under basal and insulin stimulated conditions. Noise was added and the data were fitted with the 2TC3k model and with the 3TC5k model with and without {V_{\rm e}} constraint. One hundred noise-realisations were generated at 4 different noise-levels. The results showed reductions in bias and variance with {V_{\rm e}} constraint in the 3TC5k model. We calculated the parameter {k_3}^{\prime \prime } , representing the combined effect of glucose transport across the cellular membrane and phosphorylation, as an extra outcome measure. For {k_3}^{\prime \prime } , the average coefficient of variation was reduced from 52% to 9.7%, while for {k}_{3} in the standard 2TC3k model it was 3.4%. The accuracy of the parameters estimated with our- new modeling approach depends on the accuracy of the assumed {V_{\rm e}} value. In conclusion, we have shown that, by utilising information that could be obtained from DCE-MRI in the kinetic analysis of [ ^{18}{\rm F} ]2-FDG-PET data, it is in principle possible to obtain better parameter estimates with a more complex model, which may provide additional information as compared to the standard model.

Type: Article
Title: Improved Parameter-Estimation With MRI-Constrained PET Kinetic Modeling: A Simulation Study
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TNS.2015.2507444
Publisher version: http:/d/x.doi.org/10.1109/TNS.2015.2507444
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Metabolism and Experi Therapeutics
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1476764
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