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Dual-Tracer PET Using Generalized Factor Analysis of Dynamic Sequences

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Molecular Imaging and Biology Aims and scope Submit manuscript

Abstract

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-[18F]fluoro-D-glucose (FDG) (brain metabolism) and 11C-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.

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Acknowledgments

This work was supported by NIH grants R01-HL110241 and R01CA165221. Drs. El Fakhri, Trott, Sitek Alpert, and Bonab are with the Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114.

Conflict of Interest

There are no conflict of interests/financial disclosures to report.

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Authors and Affiliations

  1. Center for Advanced Medical Imaging Sciences NMMI, Radiology Department, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA

    Georges El Fakhri, Cathryn M. Trott, Arkadiusz Sitek, Ali Bonab & Nathaniel M. Alpert

Authors
  1. Georges El Fakhri
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  2. Cathryn M. Trott
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  3. Arkadiusz Sitek
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  4. Ali Bonab
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  5. Nathaniel M. Alpert
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Correspondence to Georges El Fakhri.

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El Fakhri, G., Trott, C.M., Sitek, A. et al. Dual-Tracer PET Using Generalized Factor Analysis of Dynamic Sequences. Mol Imaging Biol 15, 666–674 (2013). https://doi.org/10.1007/s11307-013-0631-1

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  • DOI: https://doi.org/10.1007/s11307-013-0631-1

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