OSSI-PET: open-access database of simulated [11C]raclopride scans for the inveon preclinical PET scanner: application to the optimization of reconstruction methods for dynamic studies

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dc.contributor.authorGarcia, MPen_AU
dc.contributor.authorCharil, Aen_AU
dc.contributor.authorCallaghan, PDen_AU
dc.contributor.authorWimberley, CAen_AU
dc.contributor.authorBusso, Fen_AU
dc.contributor.authorGrégoire, MCen_AU
dc.contributor.authorBardiès, Men_AU
dc.contributor.authorReilhac, Aen_AU
dc.date.accessioned2023-08-17T01:08:57Zen_AU
dc.date.available2023-08-17T01:08:57Zen_AU
dc.date.issued2016-07en_AU
dc.date.statistics2022-09-27en_AU
dc.description.abstractA wide range of medical imaging applications benefits from the availability of realistic ground truth data. In the case of positron emission tomography (PET), ground truth data is crucial to validate processing algorithms and assessing their performances. The design of such ground truth data often relies on Monte-Carlo simulation techniques. Since the creation of a large dataset is not trivial both in terms of computing time and realism, we propose the OSSI-PET database containing 350 simulated [ 11 C]Raclopride dynamic scans for rats, created specifically for the Inveon pre-clinical PET scanner. The originality of this database lies on the availability of several groups of scans with controlled biological variations in the striata. Besides, each group consists of a large number of realizations (i.e., noise replicates). We present the construction methodology of this database using rat pharmacokinetic and anatomical models. A first application using the OSSI-PET database is presented. Several commonly used reconstruction techniques were compared in terms of image quality, accuracy and variability of the activity estimates and of the computed kinetic parameters. The results showed that OP-OSEM3D iterative reconstruction method outperformed the other tested methods. Analytical methods such as FBP2D and 3DRP also produced satisfactory results. However, FORE followed by OSEM2D reconstructions should be avoided. Beyond the illustration of the potential of the database, this application will help scientists to understand the different sources of noise and bias that can occur at the different steps in the processing and will be very useful for choosing appropriate reconstruction methods and parameters. © 2016 IEEEen_AU
dc.identifier.citationGarcia, M.-P., Charil, A., Callaghan, P., Wimberley, C., Busso, F., Grégoire, M.-C., Bardiès, M., & Reilhac, A. (2016). OSSI-PET: open-access database of simulated [11C]raclopride scans for the inveon preclinical PET scanner: application to the optimization of reconstruction methods for dynamic studies. IEEE Transactions on Medical Imaging, 35(7), 1696-1706. doi:10.1109/TMI.2016.2526086en_AU
dc.identifier.issn1558-254Xen_AU
dc.identifier.issue7en_AU
dc.identifier.journaltitleIEEE Transactions on Medical Imagingen_AU
dc.identifier.pagination1696 - 1706en_AU
dc.identifier.urihttps://doi.org/10.1109/TMI.2016.2526086en_AU
dc.identifier.urihttps://apo.ansto.gov.au/handle/10238/15090en_AU
dc.identifier.volume35en_AU
dc.language.isoenen_AU
dc.publisherIEEEen_AU
dc.subjectPositron computed tomographyen_AU
dc.subjectDataen_AU
dc.subjectData base managementen_AU
dc.subjectImagesen_AU
dc.subjectAlgorithmsen_AU
dc.subjectSimulationen_AU
dc.subjectComputersen_AU
dc.titleOSSI-PET: open-access database of simulated [11C]raclopride scans for the inveon preclinical PET scanner: application to the optimization of reconstruction methods for dynamic studiesen_AU
dc.typeJournal Articleen_AU
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