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Advances in Neuroimaging Techniques with PET

  • Eku Shimosegawa

Abstract

Using a radioisotope, positron emission tomography (PET) can obtain images of natural circulation through the body (from blood vessels to organs and from organs to blood vessels) as molecular images, which is naturally present in vivo. A distinctive feature of PET molecular imaging is to use radioisotope compounds as tracers. This chapter describes the latest status of imaging research on neurological functions, to the extent to which they are related to PET. Although PET has limitations, e.g., on spatial resolution, radiation exposure and observation period due to short half-life isotopes, it can visually and dynamically evaluate normal brain function and pathophysiology. Newly-developed imaging devices (e.g., semiconductor PET and PET/MR), in combination with improved imaging techniques and innovative analytical procedures, are expected to be powerful tools for studying the brain function in detail.

Keywords

PET Energy metabolism CBF Semiconductor PET PET/MR 

References

  1. Dienel, G.A., Cruz, N.F.: Astrocyte activation in working brain: energy supplied by minor substrates. Neurochem. Int. 48, 586–595 (2006)CrossRefGoogle Scholar
  2. Dienel, G.A., Hertz, L.: Glucose and lactate metabolism during brain activation. J. Neurosci. Res. 66, 824–838 (2001)CrossRefGoogle Scholar
  3. Friston, K.J., Frith, C.D., Liddle, P.F., et al.: Comparing functional (PET) images: the assessment of significant change. J. Cereb. Blood Flow Metab. 11, 690–699 (1991)CrossRefGoogle Scholar
  4. Heiss, W.D., Habedank, B., Klein, J.C., et al.: Metabolic rates in small brain nuclei determined by high-resolution PET. J. Nucl. Med. 45, 1811–1815 (2004)Google Scholar
  5. Hertz, L., Peng, L., Dienel, G.A.: Energy metabolism in astrocytes: high rate of oxidative metabolism and spatiotemporal dependence on glycolysis/glycogenolysis. J. Cereb. Blood Flow Metab. 27, 219–249 (2007)CrossRefGoogle Scholar
  6. Kato, H., Shimosegawa, E., Oku, N., et al.: MRI-based correction for partial-volume effect improves detectability of intractable epileptogenic foci on 123I-iomazenil brain SPECT images. J. Nucl. Med. 49, 383–389 (2008)CrossRefGoogle Scholar
  7. Matsuda, H., Mizumura, S., Nagao, T., et al.: Automated discrimination between very early Alzheimer disease and controls using an easy Z-score imaging system for multicenter brain perfusion single-photon emission tomography. Am. J. Neuroradiol. 28, 731–736 (2007)Google Scholar
  8. Minoshima, S., Frey, K.A., Koeppe, R.A., et al.: A diagnostic approach in Alzheimer’s disease using three-dimensional stereotactic surface projections of fluorine-18-FDG PET. J. Nucl. Med. 36, 1238–1248 (1995)Google Scholar
  9. Okello, A., Edison, P., Archer, H.A., et al.: Microglial activation and amyloid deposition in mild cognitive impairment: a PET study. Neurology 72, 56–62 (2009)CrossRefGoogle Scholar
  10. Pellerin, L., Bouzier-Sore, A.K., Aubert, A., Serres, S., Merle, M., Costalat, R., Magistretti, P.J.: Activity-dependent regulation of energy metabolism by astrocytes: an update. Glia 55, 1251–1262 (2007)CrossRefGoogle Scholar
  11. Talairach, J., Tournoux, P.: Co-Planar Stereotactic Atlas of the Human Brain. Theime Verlag, Stuttgart (1988)Google Scholar
  12. Tanzi, R.E., Bertram, L.: Twenty years of the Alzheimer’s disease amyloid hypothesis: a genetic perspective. Cell 120, 545–555 (2005)CrossRefGoogle Scholar
  13. Villemagne, V.L., Pike, K.E., Chételat, G., et al.: Longitudinal assessment of Aβ and cognition in aging and Alzheimer disease. Ann. Neurol. 69, 181–192 (2011)CrossRefGoogle Scholar

Copyright information

© Springer Japan 2016

Authors and Affiliations

  1. 1.Graduate School of MedicineOsaka UniversitySuitaJapan

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