Molecular Imaging and Biology

, Volume 10, Issue 6, pp 315–324 | Cite as

An Event-Driven Motion Correction Method for Neurological PET Studies of Awake Laboratory Animals

  • Victor W Zhou
  • Andre Z Kyme
  • Steven R Meikle
  • Roger Fulton
Research Article

Abstract

Purpose

The purpose of the study is to investigate the feasibility of an event driven motion correction method for neurological microPET imaging of small laboratory animals in the fully awake state.

Procedures

A motion tracking technique was developed using an optical motion tracking system and light (<1g) printed targets. This was interfaced to a microPET scanner. Recorded spatial transformations were applied in software to list mode events to create a motion-corrected sinogram. Motion correction was evaluated in microPET studies, in which a conscious animal was simulated by a phantom that was moved during data acquisition.

Results

The motion-affected scan was severely distorted compared with a reference scan of the stationary phantom. Motion correction yielded a nearly distortion-free reconstruction and a marked reduction in mean squared error.

Conclusions

This work is an important step towards motion tracking and motion correction in neurological studies of awake animals in the small animal PET imaging environment.

Key words

Positron emission tomography PET PET/CT Small animal PET Motion correction Motion tracking List mode 

References

  1. 1.
    Lindauer U, Villringer A, Dirnagl U (1993) Characterization of CBF response to somatosensory stimulation: model and influence of anesthetics. Am J Physiol 264(4):1223–1228Google Scholar
  2. 2.
    Jones SC, Williams JL, Shea M, Easley KA, Wei D (1995) Cortical cerebral blood flow cycling: anesthesia and arterial blood pressure. Am J Physiol 268:569–575Google Scholar
  3. 3.
    Fueger BJ, Czernin J, Hildebrandt I, Tran C, Halpern BS, Stout D et al (2006) Impact of animal handling on the results of 18F-FDG PET studies in mice. J Nucl Med 47:999–1006PubMedGoogle Scholar
  4. 4.
    Arnsten AF (2000) Stress impairs prefrontal cortical function in rats and monkeys: role of dopamine D1 and norepinephrine alpha-1 receptor mechanisms. Prog Brain Res 126:183–192CrossRefGoogle Scholar
  5. 5.
    Picard Y, Thompson CJ (1997) Motion correction of PET images using multiple acquisition frames. IEEE Trans Med Imag 16:137–144CrossRefGoogle Scholar
  6. 6.
    Fulton RR, Meikle SR, Eberl S, Pfeiffer J, Constable CJ (2002) Correction for head movements in positron emission tomography using an optical motion tracking system. IEEE Trans Nucl Sci 49:116–123CrossRefGoogle Scholar
  7. 7.
    Bloomfield PM, Spinks TJ, Reed J, Schnorr L, Westrip AM, Livieratos L et al (2003) The design and implementation of a motion correction scheme for neurological PET. Phys Med Biol 48:959–978PubMedCrossRefGoogle Scholar
  8. 8.
    Fulton R, Nickel I, Tellmann L, Meikle S, Pietrzyk U, Herzog H (2003) Event-by-event motion compensation in 3D PET. Proc. 2003 IEEE Nuclear Science Symposium and Medical Imaging Conference, 5:3286–3289, Portland, OregonGoogle Scholar
  9. 9.
    Bühler P, Just U, Will E, Kotzerke J, van den Hoff J (2004) An accurate method for correction of head movement in PET. IEEE Trans Med Imag 23:1176–1185CrossRefGoogle Scholar
  10. 10.
    Fulton R, Tellmann L, Pietrzyk U, Winz O, Stangier I, Nickel I et al (2004) Accuracy of motion correction methods for PET brain imaging. Proc. 2004 IEEE Nuclear Science Symposium and Medical Imaging Conference, 7:4226–4230, Lyon, FranceGoogle Scholar
  11. 11.
    Menke M, Atkins MS, Buckley KR (2002) Compensation methods for head motion detected during PET imaging. IEEE Trans Nucl Sci 49:116–123CrossRefGoogle Scholar
  12. 12.
    Angel A, Linkens DC, Ting CH (1999) Estimation of latency changes and relative amplitudes in somatosensory evoked potentials using wavelets and regression. Comput Biomed Res 32(3):209–251PubMedCrossRefGoogle Scholar
  13. 13.
    Nakao Y, Itoh Y, Kuang TY, Cook M, Jehle J, Sokoloff L (2001) Effects of anesthesia on functional activation of cerebral blood flow and metabolism. Proc Natl Acad Sci 98(13):7593–7598PubMedCrossRefGoogle Scholar
  14. 14.
    Vaska P, Woody C, Schlyer D, Pratte J-F, Junnarkar S, Southekal S et al (2007) The design and performance of the 2nd-generation RatCAP awake brain PET system. Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference, Honolulu, 4181–4184Google Scholar
  15. 15.
    Hudson HM, Larkin RS (1994) Accelerated image reconstruction using ordered subsets of projection data. IEEE Trans Med Imag 13:601–609CrossRefGoogle Scholar
  16. 16.
    Defrise M (1995) A factorization method for the 3D X-ray transform. Inverse Probl 11:983–994CrossRefGoogle Scholar

Copyright information

© Academy of Molecular Imaging 2008

Authors and Affiliations

  • Victor W Zhou
    • 1
    • 2
  • Andre Z Kyme
    • 1
    • 2
  • Steven R Meikle
    • 2
    • 3
  • Roger Fulton
    • 1
    • 2
    • 3
    • 4
  1. 1.School of PhysicsUniversity of SydneySydneyAustralia
  2. 2.Ramaciotti Imaging Centre, Brain and Mind Research InstituteUniversity of SydneySydneyAustralia
  3. 3.Discipline of Medical Radiation SciencesUniversity of SydneySydneyAustralia
  4. 4.Department of Medical PhysicsWestmead HospitalWestmeadAustralia

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