Skip to main content

Advertisement

Log in

Impact of subject head motion on quantitative brain 15O PET and its correction by image-based registration algorithm

  • Original Article
  • Published:
Annals of Nuclear Medicine Aims and scope Submit manuscript

Abstract

Objective

Subject head motion during sequential 15O positron emission tomography (PET) scans can result in artifacts in cerebral blood flow (CBF) and oxygen metabolism maps. However, to our knowledge, there are no systematic studies examining this issue. Herein, we investigated the effect of head motion on quantification of CBF and oxygen metabolism, and proposed an image-based motion correction method dedicated to 15O PET study, correcting for transmission–emission mismatch and inter-scan mismatch of emission scans.

Methods

We analyzed 15O PET data for patients with major arterial steno-occlusive disease (n = 130) to determine the occurrence frequency of head motion during 15O PET examination. Image-based motion correction without and with realignment between transmission and emission scans, termed simple and 2-step method, respectively, was applied to the cases that showed severe inter-scan motion.

Results

Severe inter-scan motion (>3 mm translation or >5° rotation) was observed in 27 of 520 adjacent scan pairs (5.2 %). In these cases, unrealistic values of oxygen extraction fraction (OEF) or cerebrovascular reactivity (CVR) were observed without motion correction. Motion correction eliminated these artifacts. The volume-of-interest (VOI) analysis demonstrated that the motion correction changed the OEF on the middle cerebral artery territory by 17.3 % at maximum. The inter-scan motion also affected CBV, CMRO2 and CBF, which were improved by the motion correction. A difference of VOI values between the simple and 2-step method was also observed.

Conclusions

These data suggest that image-based motion correction is useful for accurate measurement of CBF and oxygen metabolism by 15O PET.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Powers WJ, Grubb RL Jr, Raichle ME. Physiological responses to focal cerebral ischemia in humans. Ann Neurol. 1984;16:546–52.

    Article  PubMed  CAS  Google Scholar 

  2. Raichle ME, Martin WR, Herscovitch P, Mintun MA, Markham J. Brain blood flow measured with intravenous H2(15)O. II. Implementation and validation. J Nucl Med. 1983;24:790–8.

    PubMed  CAS  Google Scholar 

  3. Gibbs JM, Wise RJ, Leenders KL, Jones T. Evaluation of cerebral perfusion reserve in patients with carotid-artery occlusion. Lancet. 1984;1:310–4.

    Article  PubMed  CAS  Google Scholar 

  4. Yamauchi H, Fukuyama H, Nagahama Y, Nabatame H, Ueno M, Nishizawa S, et al. Significance of increased oxygen extraction fraction in five-year prognosis of major cerebral arterial occlusive diseases. J Nucl Med. 1999;40:1992–8.

    PubMed  CAS  Google Scholar 

  5. Frackowiak RS, Lenzi GL, Jones T, Heather JD. Quantitative measurement of regional cerebral blood flow and oxygen metabolism in man using 15O and positron emission tomography: theory, procedure, and normal values. J Comput Assist Tomogr. 1980;4:727–36.

    Article  PubMed  CAS  Google Scholar 

  6. Mintun MA, Raichle ME, Martin WR, Herscovitch P. Brain oxygen utilization measured with O-15 radiotracers and positron emission tomography. J Nucl Med. 1984;25:177–87.

    PubMed  CAS  Google Scholar 

  7. Lammertsma AA, Wise RJ, Heather JD, Gibbs JM, Leenders KL, Frackowiak RS, et al. Correction for the presence of intravascular oxygen-15 in the steady-state technique for measuring regional oxygen extraction ratio in the brain: 2. Results in normal subjects and brain tumour and stroke patients. J Cereb Blood Flow Metab. 1983;3:425–31.

    Article  PubMed  CAS  Google Scholar 

  8. Lammertsma AA, Jones T, Frackowiak RS, Lenzi GL. A theoretical study of the steady-state model for measuring regional cerebral blood flow and oxygen utilisation using oxygen-15. J Comput Assist Tomogr. 1981;5:544–50.

    Article  PubMed  CAS  Google Scholar 

  9. Picard Y, Thompson CJ. Motion correction of PET images using multiple acquisition frames. IEEE Trans Med Imaging. 1997;16:137–44.

    Article  PubMed  CAS  Google Scholar 

  10. Costes N, Dagher A, Larcher K, Evans AC, Collins DL, Reilhac A. Motion correction of multi-frame PET data in neuroreceptor mapping: simulation based validation. Neuroimage. 2009;47:1496–505.

    Article  PubMed  Google Scholar 

  11. Hatazawa J, Fujita H, Kanno I, Satoh T, Iida H, Miura S, et al. Regional cerebral blood flow, blood volume, oxygen extraction fraction, and oxygen utilization rate in normal volunteers measured by the autoradiographic technique and the single breath inhalation method. Ann Nucl Med. 1995;9:15–21.

    Article  PubMed  CAS  Google Scholar 

  12. Huang SC, Hoffman EJ, Phelps ME, Kuhl DE. Quantitation in positron emission computed tomography: 2. Effects of inaccurate attenuation correction. J Comput Assist Tomogr. 1979;3:804–14.

    PubMed  CAS  Google Scholar 

  13. Wardak M, Wong K-P, Shao W, Dahlbom M, Kepe V, Satyamurthy N, et al. Movement correction method for human brain PET images: application to quantitative analysis of dynamic 18F-FDDNP scans. J Nucl Med. 2010;51:210–8.

    Article  PubMed  Google Scholar 

  14. Matsumoto K, Kitamura K, Mizuta T, Tanaka K, Yamamoto S, Sakamoto S, et al. Performance characteristics of a new 3-dimensional continuous-emission and spiral-transmission high-sensitivity and high-resolution PET camera evaluated with the NEMA NU 2-2001 standard. J Nucl Med. 2006;47:83–90.

    PubMed  Google Scholar 

  15. Ibaraki M, Miura S, Shimosegawa E, Sugawara S, Mizuta T, Ishikawa A, et al. Quantification of cerebral blood flow and oxygen metabolism with 3-dimensional PET and 15O: validation by comparison with 2-dimensional PET. J Nucl Med. 2008;49:50–9.

    Article  PubMed  Google Scholar 

  16. Ito H, Ibaraki M, Kanno I, Fukuda H, Miura S. Changes in the arterial fraction of human cerebral blood volume during hypercapnia and hypocapnia measured by positron emission tomography. J Cereb Blood Flow Metab. 2005;25:852–7.

    Article  PubMed  Google Scholar 

  17. Ibaraki M, Shinohara Y, Nakamura K, Miura S, Kinoshita F, Kinoshita T. Interindividual variations of cerebral blood flow, oxygen delivery, and metabolism in relation to hemoglobin concentration measured by positron emission tomography in humans. J Cereb Blood Flow Metab. 2010;30:1296–305.

    Article  PubMed  CAS  Google Scholar 

  18. Martin WR, Powers WJ, Raichle ME. Cerebral blood volume measured with inhaled C15O and positron emission tomography. J Cereb Blood Flow Metab. 1987;7:421–6.

    Article  PubMed  CAS  Google Scholar 

  19. Grubb RL Jr, Phelps ME, Ter-Pogossian MM. Regional cerebral blood volume in humans. X-ray fluorescence studies. Arch Neurol. 1973;28:38–44.

    Article  PubMed  Google Scholar 

  20. Iida H, Higano S, Tomura N, Shishido F, Kanno I, Miura S, et al. Evaluation of regional differences of tracer appearance time in cerebral tissues using [15O] water and dynamic positron emission tomography. J Cereb Blood Flow Metab. 1988;8:285–8.

    Article  PubMed  CAS  Google Scholar 

  21. Iida H, Kanno I, Miura S, Murakami M, Takahashi K, Uemura K. Error analysis of a quantitative cerebral blood flow measurement using H2(15)O autoradiography and positron emission tomography, with respect to the dispersion of the input function. J Cereb Blood Flow Metab. 1986;6:536–45.

    Article  PubMed  CAS  Google Scholar 

  22. Iida H, Jones T, Miura S. Modeling approach to eliminate the need to separate arterial plasma in oxygen-15 inhalation positron emission tomography. J Nucl Med. 1993;34:1333–40.

    PubMed  CAS  Google Scholar 

  23. Yata K, Suzuki A, Hatazawa J, Shimosegawa E, Nagata K, Sato M, et al. Relationship between cerebral circulatory reserve and oxygen extraction fraction in patients with major cerebral artery occlusive disease: a positron emission tomography study. Stroke. 2006;37:534–6.

    Article  PubMed  Google Scholar 

  24. Studholme C, Hill D, Hawkes DJ. A normalized entropy measure of 3-D medical image alignment. Proc Med Imaging. 1998;3338:132–43.

    Google Scholar 

  25. Okazawa H, Kudo T. Clinical impact of hemodynamic parameter measurement for cerebrovascular disease using positron emission tomography and (15)O-labeled tracers. Ann Nucl Med. 2009;23:217–27.

    Article  PubMed  CAS  Google Scholar 

  26. Fulton RR, Meikle SR, Eberl S, Pfeiffer J, Constable CJ, Fulham MJ. Correction for head movements in positron emission tomography using an optical motion-tracking system. IEEE Trans Nucl Sci. 2002;49:116–23.

    Article  Google Scholar 

  27. Green MV, Seidel J, Stein SD, Tedder TE, Kempner KM, Kertzman C, et al. Head movement in normal subjects during simulated PET brain imaging with and without head restraint. J Nucl Med. 1994;35:1538–46.

    PubMed  CAS  Google Scholar 

  28. Kudomi N, Hayashi T, Teramoto N, Watabe H, Kawachi N, Ohta Y, et al. Rapid quantitative measurement of CMRO(2) and CBF by dual administration of (15)O-labeled oxygen and water during a single PET scan-a validation study and error analysis in anesthetized monkeys. J Cereb Blood Flow Metab. 2005;25:1209–24.

    Article  PubMed  Google Scholar 

  29. Ikari Y, Nishio T, Makishi Y, Miya Y, Ito K, Koeppe RA, et al. Head motion evaluation and correction for PET scans with 18F-FDG in the Japanese Alzheimer’s disease neuroimaging initiative (J-ADNI) multi-center study. Ann Nucl Med. 2012.

  30. Lopresti B, Russo A, Jones W, Fisher T, Crouch D, Altenburger D, et al. Implementation and performance of an optical motion tracking system for high resolution brain PET imaging. IEEE Trans Nucl Sci. 1999;46:2059–67.

    Article  Google Scholar 

Download references

Acknowledgments

This study was supported by a research grant from the Research Institute for Brain and Blood Vessels Akita. We thank Dr. Kazuhiro Koshino at the National Cerebral and Cardiovascular Center and Dr. Hiroshi Watabe at Osaka University for the technical and scientific advice for this study. We also thank the staff of the Research Institute for Brain and Blood Vessels Akita, particularly Kaoru Sato and Tomomi Omura, for PET acquisition and clinical advice.

Conflict of interest

The authors declare no conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Keisuke Matsubara.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Matsubara, K., Ibaraki, M., Nakamura, K. et al. Impact of subject head motion on quantitative brain 15O PET and its correction by image-based registration algorithm. Ann Nucl Med 27, 335–345 (2013). https://doi.org/10.1007/s12149-013-0690-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12149-013-0690-z

Keywords

Navigation