Dual-tracer PET using generalized factor analysis of dynamic sequences.
Purpose: With single-photon emission computed tomography, simultaneous imaging of two physiological processes relies on discrimination of the energy of the emitted gamma rays, whereas the application of dual-tracer imaging to positron emission tomography (PET) imaging has been limited by the charact...
| Publicado en: | Molecular Imaging & Biology Vol. 15; no. 6; pp. 666 - 675 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Dec2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104114061&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104114061 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15361632 KJU jtl: Molecular Imaging & Biology issn: 15361632 maglogo: N pubinfo: dt: Dec2013 vid: 15 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104114061 NLM23636489 2012371760 10.1007/s11307-013-0631-1 NLM23636489 PMC3812387 104114061 ppf: 666 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Dual-tracer PET using generalized factor analysis of dynamic sequences. aug: au: El Fakhri, Georges Trott, Cathryn M Sitek, Arkadiusz Bonab, Ali Alpert, Nathaniel M affil: Center for Advanced Medical Imaging Sciences NMMI, Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA, elfakhri@pet.mgh.harvard.edu. sug: subj: Factor Analysis Neuroradiography Methods Radiopharmaceuticals Pharmacokinetics Tomography, Emission-Computed Methods Algorithms Animal Studies Biochemical Phenomena Brain Metabolism Computer Simulation Female Fludeoxyglucose F 18 Fludeoxyglucose F 18 Pharmacokinetics Human Models, Biological Primates Radiopharmaceuticals Female ab: Purpose: With single-photon emission computed tomography, simultaneous imaging of two physiological processes relies on discrimination of the energy of the emitted gamma rays, whereas the application of dual-tracer imaging to positron emission tomography (PET) imaging has been limited by the characteristic 511-keV emissions.Procedures: To address this limitation, we developed a novel approach based on generalized factor analysis of dynamic sequences (GFADS) that exploits spatio-temporal differences between radiotracers and applied it to near-simultaneous imaging of 2-deoxy-2-[(18)F]fluoro-D-glucose (FDG) (brain metabolism) and (11)C-raclopride (D2) with simulated human data and experimental rhesus monkey data. We show theoretically and verify by simulation and measurement that GFADS can separate FDG and raclopride measurements that are made nearly simultaneously.Results: The theoretical development shows that GFADS can decompose the studies at several levels: (1) It decomposes the FDG and raclopride study so that they can be analyzed as though they were obtained separately. (2) If additional physiologic/anatomic constraints can be imposed, further decomposition is possible. (3) For the example of raclopride, specific and nonspecific binding can be determined on a pixel-by-pixel basis. We found good agreement between the estimated GFADS factors and the simulated ground truth time activity curves (TACs), and between the GFADS factor images and the corresponding ground truth activity distributions with errors less than 7.3 ± 1.3 %. Biases in estimation of specific D2 binding and relative metabolism activity were within 5.9 ± 3.6 % compared to the ground truth values. We also evaluated our approach in simultaneous dual-isotope brain PET studies in a rhesus monkey and obtained accuracy of better than 6 % in a mid-striatal volume, for striatal activity estimation.Conclusions: Dynamic image sequences acquired following near-simultaneous injection of two PET radiopharmaceuticals can be separated into components based on the differences in the kinetics, provided their kinetic behaviors are distinct. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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