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ASL-incorporated pharmacokinetic modelling of PET data with reduced acquisition time: Application to amyloid imaging

Scott, CJ; Jiao, J; Melbourne, A; Schott, JM; Hutton, BF; Ourselin, S; (2016) ASL-incorporated pharmacokinetic modelling of PET data with reduced acquisition time: Application to amyloid imaging. In: Ourselin, S and Joskowicz, L and Sabuncu, MR and Unal, G and Wells, W, (eds.) MICCAI 2016: Medical Image Computing and Computer-Assisted Intervention: Proceedings, Part III. (pp. pp. 406-413). Springer International Publishing AG Green open access

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Abstract

Pharmacokinetic analysis of Positron Emission Tomography (PET) data typically requires at least one hour of image acquisition,which poses a great disadvantage in clinical practice. In this work,we propose a novel approach for pharmacokinetic modelling with significantly reduced PET acquisition time,by incorporating the blood flow information from simultaneously acquired arterial spin labelling (ASL) magnetic resonance imaging (MRI). A relationship is established between blood flow,measured by ASL,and the transfer rate constant from plasma to tissue of the PET tracer,leading to modified PET kinetic models with ASL-derived flow information. Evaluation on clinical amyloid imaging data from an Alzheimer’s disease (AD) study shows that the proposed approach with the simplified reference tissue model can achieve amyloid burden estimation from 30min [18F]florbetapir PET data and 5min simultaneous ASL MR data,which is comparable with the estimation from 60 min PET data (mean error= −0.03). Conversely,standardised uptake value ratio (SUVR),the alternative measure from the data showed a positive bias in areas of higher amyloid burden (mean error= 0.07).

Type: Proceedings paper
Title: ASL-incorporated pharmacokinetic modelling of PET data with reduced acquisition time: Application to amyloid imaging
Event: MICCAI 2016: 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, 17-21 October 2016, Athens, Greece
ISBN-13: 9783319467252
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-46726-9_47
Publisher version: https://dx.doi.org/10.1007/978-3-319-46726-9_47
Language: English
Additional information: Copyright © Springer International Publishing AG 2016. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-46726-9_47
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 Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neurodegenerative Diseases
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 Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1530675
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