Framework for the construction of a Monte Carlo simulated brain PET–MR image database

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dc.contributor.authorThomas, BAen_AU
dc.contributor.authorErlandsson, Ken_AU
dc.contributor.authorDrobnjak, Ien_AU
dc.contributor.authorPedemonte, Sen_AU
dc.contributor.authorVunckx, Ken_AU
dc.contributor.authorBousse, Aen_AU
dc.contributor.authorReilhac-Laborde, Aen_AU
dc.contributor.authorOurselin, Sen_AU
dc.contributor.authorHutton, BFen_AU
dc.date.accessioned2020-03-24T01:38:16Zen_AU
dc.date.available2020-03-24T01:38:16Zen_AU
dc.date.issued2014-01-11en_AU
dc.description.abstractSimultaneous PET–MR acquisition reduces the possibility of registration mismatch between the two modalities. This facilitates the application of techniques, either during reconstruction or post-reconstruction, that aim to improve the PET resolution by utilising structural information provided by MR. However, in order to validate such methods for brain PET–MR studies it is desirable to evaluate the performance using data where the ground truth is known. In this work, we present a framework for the production of datasets where simulations of both the PET and MR, based on real data, are generated such that reconstruction and post-reconstruction approaches can be fairly compared. © 2013 Elsevier B.V.en_AU
dc.identifier.citationThomas, B. A., Erlandsson, K., Drobnjak, I., Pedemonte, S., Vunckx, K., Bousse, A., Reilhac-Laborde, A., Ourseling, S., & Hutton, B. F. (2014). Framework for the construction of a monte carlo simulated brain PET–MR image database. Paper presented to PSMR2013 – PET-MR and SPECT-MR, Aachen, Germany, May 6–7, 2013. In Herzog, H., del Guerra, A., Loudos. G., & Shah, J. N. (Eds)), Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 734(Part B), 162-165. doi:10.1016/j.nima.2013.08.063en_AU
dc.identifier.conferenceenddate7 May 2013en_AU
dc.identifier.conferencenamePSMR2013 – PET-MR and SPECT-MRen_AU
dc.identifier.conferenceplaceAachen, Germanyen_AU
dc.identifier.conferencestartdate6 May 2013en_AU
dc.identifier.editorsHerzog, H., del Guerra, A., Loudos. G., & Shah, J. N.en_AU
dc.identifier.govdoc8885en_AU
dc.identifier.issn0168-9002en_AU
dc.identifier.issuePart Ben_AU
dc.identifier.journaltitlePhysics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipmenten_AU
dc.identifier.pagination162-165en_AU
dc.identifier.urihttps://doi.org/10.1016/j.nima.2013.08.063en_AU
dc.identifier.urihttp://apo.ansto.gov.au/dspace/handle/10238/9214en_AU
dc.identifier.volume734en_AU
dc.language.isoenen_AU
dc.publisherElsevieren_AU
dc.subjectBrainen_AU
dc.subjectComparative evaluationsen_AU
dc.subjectSimulationen_AU
dc.subjectImagesen_AU
dc.subjectMonte Carlo Methoden_AU
dc.subjectPositron computed tomographyen_AU
dc.subjectSensitivityen_AU
dc.titleFramework for the construction of a Monte Carlo simulated brain PET–MR image databaseen_AU
dc.typeConference Paperen_AU
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