An investigation of the challenges in reconstructing PET images of a freely moving animal

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dc.contributor.authorAkhta, Men_AU
dc.contributor.authorKyme, AZen_AU
dc.contributor.authorZhou, Ven_AU
dc.contributor.authorFulton, RRen_AU
dc.contributor.authorMeikle, SRen_AU
dc.date.accessioned2020-03-29T23:28:33Zen_AU
dc.date.available2020-03-29T23:28:33Zen_AU
dc.date.issued2013-10-10en_AU
dc.description.abstractImaging the brain of a freely moving small animal using positron emission tomography (PET) while simultaneously observing its behaviour is an important goal for neuroscience. While we have successfully demonstrated the use of line-of-response (LOR) rebinning to correct the head motion of confined animals, a large proportion of events may need to be discarded because they either ‘miss’ the detector array after transformation or fall out of the acceptance range of a sinogram. The proportion of events that would have been measured had motion not occurred, so-called ‘lost events’, is expected to be even larger for freely moving animals. Moreover, the data acquisition in the case of a freely moving animal is further complicated by a complex attenuation field. The aims of this study were (a) to characterise the severity of the ‘lost events’ problem for the freely moving animal scenario, and (b) to investigate the relative impact of attenuation correction errors on quantitative accuracy of reconstructed images. A phantom study was performed to simulate the uncorrelated motion of a target and non-target source volume. A small animal PET scanner was used to acquire list-mode data for different sets of phantom positions. The list-mode data were processed using the standard LOR rebinning approach, and multiple frame variants of this designed to reduce discarded events. We found that LOR rebinning caused up to 86 % ‘lost events’, and artifacts that we attribute to incomplete projections, when applied to a freely moving target. This fraction was reduced by up to 18 % using the variant approaches, resulting in slightly reduced image artifacts. The effect of the non-target compartment on attenuation correction of the target volume was surprisingly small. However, for certain poses where the target and non-target volumes are aligned transaxially in the field-of-view, the attenuation problem becomes more complex and sophisticated correction methods will be required. We conclude that there are limitations with the LOR rebinning approach and simplified attenuation correction for freely moving animals requiring the development and validation of more sophisticated approaches. © 2020 Springer Nature Switzerland AGen_AU
dc.identifier.citationAkhtar, M., Kyme, A., Zhou, V., Fulton, R., & Meikle, S. (2013). An investigation of the challenges in reconstructing PET images of a freely moving animal. Australasian physical & engineering sciences in medicine, 36(4), 405-415. doi:10.1007/s13246-013-0222-0en_AU
dc.identifier.govdoc8661en_AU
dc.identifier.issn2662-4729en_AU
dc.identifier.issue4en_AU
dc.identifier.journaltitleAustralasian physical & engineering sciences in medicineen_AU
dc.identifier.pagination405-415en_AU
dc.identifier.urihttp://doi.org/10.1007/s13246-013-0222-0en_AU
dc.identifier.urihttp://apo.ansto.gov.au/dspace/handle/10238/9297en_AU
dc.identifier.volume36en_AU
dc.language.isoenen_AU
dc.publisherSpringer Natureen_AU
dc.subjectBrainen_AU
dc.subjectAnimalsen_AU
dc.subjectBehavioren_AU
dc.subjectPositron computed tomographyen_AU
dc.subjectAlgorithmsen_AU
dc.subjectNeurologyen_AU
dc.subjectErrorsen_AU
dc.subjectAttenuationen_AU
dc.titleAn investigation of the challenges in reconstructing PET images of a freely moving animalen_AU
dc.typeJournal Articleen_AU
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