Attenuation correction for freely moving small animal brain PET studies based on a virtual scanner geometry

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dc.contributor.authorAngelis, GIen_AU
dc.contributor.authorKyme, AZen_AU
dc.contributor.authorRyder, WJen_AU
dc.contributor.authorFulton, RRen_AU
dc.contributor.authorMeikle, SRen_AU
dc.date.accessioned2020-03-29T21:57:45Zen_AU
dc.date.available2020-03-29T21:57:45Zen_AU
dc.date.issued2014-09-05en_AU
dc.date.statistics2020-03-20en_AU
dc.description.abstractAttenuation correction in positron emission tomography brain imaging of freely moving animals is a very challenging problem since the torso of the animal is often within the field of view and introduces a non negligible attenuating factor that can degrade the quantitative accuracy of the reconstructed images. In the context of unrestrained small animal imaging, estimation of the attenuation correction factors without the need for a transmission scan is highly desirable. An attractive approach that avoids the need for a transmission scan involves the generation of the hull of the animal’s head based on the reconstructed motion corrected emission images. However, this approach ignores the attenuation introduced by the animal’s torso. In this work, we propose a virtual scanner geometry which moves in synchrony with the animal’s head and discriminates between those events that traversed only the animal’s head (and therefore can be accurately compensated for attenuation) and those that might have also traversed the animal’s torso. For each recorded pose of the animal’s head a new virtual scanner geometry is defined and therefore a new system matrix must be calculated leading to a time-varying system matrix. This new approach was evaluated on phantom data acquired on the microPET Focus 220 scanner using a custom-made phantom and step-wise motion. Results showed that when the animal’s torso is within the FOV and not appropriately accounted for during attenuation correction it can lead to bias of up to 10% . Attenuation correction was more accurate when the virtual scanner was employed leading to improved quantitative estimates (bias < 2%), without the need to account for the attenuation introduced by the extraneous compartment. Although the proposed method requires increased computational resources, it can provide a reliable approach towards quantitatively accurate attenuation correction for freely moving animal studies. © 2014 Institute of Physicsen_AU
dc.identifier.citationAngelis, G. I., Kyme, A. Z., Ryder, W. J., Fulton, R. R., & Meikle, S. R. (2014). Attenuation correction for freely moving small animal brain PET studies based on a virtual scanner geometry. Physics in Medicine and Biology, 59(19), 5651-5666. doi:10.1088/0031-9155/59/19/5651en_AU
dc.identifier.govdoc8662en_AU
dc.identifier.issn0031-9155en_AU
dc.identifier.issue19en_AU
dc.identifier.journaltitlePhysics in Medicine and Biologyen_AU
dc.identifier.pagination5651-5666en_AU
dc.identifier.urihttp://dx.doi.org/10.1088/0031-9155/59/19/5651en_AU
dc.identifier.urihttp://apo.ansto.gov.au/dspace/handle/10238/9291en_AU
dc.identifier.volume59en_AU
dc.language.isoenen_AU
dc.publisherIOP Publishingen_AU
dc.subjectAnimalsen_AU
dc.subjectAttenuationen_AU
dc.subjectBrainen_AU
dc.subjectHeaden_AU
dc.subjectPositron computed tomographyen_AU
dc.titleAttenuation correction for freely moving small animal brain PET studies based on a virtual scanner geometryen_AU
dc.typeJournal Articleen_AU
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