Table of Contents Author Guidelines Submit a Manuscript
International Journal of Biomedical Imaging
Volume 2008, Article ID 516359, 12 pages
http://dx.doi.org/10.1155/2008/516359
Research Article

Cerebral Blood Flow Measurement Using fMRI and PET: A Cross-Validation Study

McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, PQ, Canada H3A 2B4

Received 4 June 2008; Accepted 22 July 2008

Academic Editor: Yantian Zhang

Copyright © 2008 Jean J. Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. A. Detre, W. Zhang, D. A. Roberts et al., “Tissue specific perfusion imaging using arterial spin labeling,” NMR in Biomedicine, vol. 7, no. 1-2, pp. 75–82, 1994. View at Publisher · View at Google Scholar
  2. F. Calamante, D. L. Thomas, G. S. Pell, J. Wiersma, and R. Turner, “Measuring cerebral blood flow using magnetic resonance imaging techniques,” Journal of Cerebral Blood Flow & Metabolism, vol. 19, no. 7, pp. 701–735, 1999. View at Google Scholar
  3. R. D. Hoge, J. Atkinson, B. Gill, G. R. Crelier, S. Marrett, and G. B. Pike, “Investigation of BOLD signal dependence on cerebral blood flow and oxygen consumption: the deoxyhemoglobin dilution model,” Magnetic Resonance in Medicine, vol. 42, no. 5, pp. 849–863, 1999. View at Publisher · View at Google Scholar
  4. E. C. Wong, R. B. Buxton, and L. R. Frank, “Quantitative imaging of perfusion using a single subtraction (QUIPSS and QUIPSS II),” Magnetic Resonance in Medicine, vol. 39, no. 5, pp. 702–708, 1998. View at Publisher · View at Google Scholar
  5. W.-M. Luh, E. C. Wong, P. A. Bandettini, and J. S. Hyde, “QUIPSS II with thin-slice TI1 periodic saturation: a method for improving accuracy of quantitative perfusion imaging using pulsed arterial spin labeling,” Magnetic Resonance in Medicine, vol. 41, no. 6, pp. 1246–1254, 1999. View at Publisher · View at Google Scholar
  6. B. N. Pasley, B. A. Inglis, and R. D. Freeman, “Analysis of oxygen metabolism implies a neural origin for the negative BOLD response in human visual cortex,” NeuroImage, vol. 36, no. 2, pp. 269–276, 2007. View at Publisher · View at Google Scholar
  7. Y. Zhang, H. K. Song, J. Wang, A. Techawiboonwong, and F. W. Wehrli, “Spatially-confined arterial spin-labeling with FAIR,” Journal of Magnetic Resonance Imaging, vol. 22, no. 1, pp. 119–124, 2005. View at Publisher · View at Google Scholar
  8. R. D. Hoge, J. Atkinson, B. Gill, G. R. Crelier, S. Marrett, and G. B. Pike, “Stimulus-dependent BOLD and perfusion dynamics in human V1,” NeuroImage, vol. 9, no. 6, pp. 573–585, 1999. View at Publisher · View at Google Scholar
  9. E. G. Walsh, K. Minematsu, J. Leppo, and S. C. Moore, “Radioactive microsphere validation of a volume localized continuous saturation perfusion measurement,” Magnetic Resonance in Medicine, vol. 31, no. 2, pp. 147–153, 1994. View at Publisher · View at Google Scholar
  10. J. R. Ewing, Y. Cao, R. A. Knight, and J. D. Fenstermacher, “Arterial spin labeling: validity testing and comparison studies,” Journal of Magnetic Resonance Imaging, vol. 22, no. 6, pp. 737–740, 2005. View at Publisher · View at Google Scholar
  11. L. Østergaard, P. Johannsen, P. Høst-Poulsen et al., “Cerebral blood flow measurements by magnetic resonance imaging bolus tracking: comparison with [O15]H2O positron emission tomography in humans,” Journal of Cerebral Blood Flow & Metabolism, vol. 18, no. 9, pp. 935–940, 1998. View at Publisher · View at Google Scholar
  12. T. J. Carroll, V. Teneggi, M. Jobin et al., “Absolute quantification of cerebral blood flow with magnetic resonance, reproducibility of the method, and comparison with H2O15 positron emission tomography,” Journal of Cerebral Blood Flow & Metabolism, vol. 22, no. 9, pp. 1149–1156, 2002. View at Publisher · View at Google Scholar
  13. W. Lin, A. Celik, C. Derdeyn et al., “Quantitative measurements of cerebral blood flow in patients with unilateral carotid artery occlusion: a PET and MR study,” Journal of Magnetic Resonance Imaging, vol. 14, no. 6, pp. 659–667, 2001. View at Publisher · View at Google Scholar
  14. C. B. Grandin, A. Bol, A. M. Smith, C. Michel, and G. Cosnard, “Absolute CBF and CBV measurements by MRI bolus tracking before and after acetazolamide challenge: repeatabilily and comparison with PET in humans,” NeuroImage, vol. 26, no. 2, pp. 525–535, 2005. View at Publisher · View at Google Scholar
  15. F. Q. Ye, K. F. Berman, T. Ellmore et al., “H2O15 PET validation of steady-state arterial spin tagging cerebral blood flow measurements in humans,” Magnetic Resonance in Medicine, vol. 44, no. 3, pp. 450–456, 2000. View at Publisher · View at Google Scholar
  16. H.-L. Liu, P. Kochunov, J. Hou et al., “Perfusion-weighted imaging of interictal hypoperfusion in temporal lobe epilepsy using FAIR-HASTE: comparison with H2O15 PET measurements,” Magnetic Resonance in Medicine, vol. 45, no. 3, pp. 431–435, 2001. View at Publisher · View at Google Scholar
  17. M. R. Zaini, S. C. Strother, J. R. Anderson et al., “Comparison of matched BOLD and FAIR 4.0T-fMRI with[O15] water PET brain volumes,” Medical Physics, vol. 26, no. 8, pp. 1559–1567, 1999. View at Publisher · View at Google Scholar
  18. C.-M. Feng, S. Narayana, J. L. Lancaster et al., “CBF changes during brain activation: fMRI vs. PET,” NeuroImage, vol. 22, no. 1, pp. 443–446, 2004. View at Publisher · View at Google Scholar
  19. E. C. Wong, R. B. Buxton, and L. R. Frank, “Implementation of quantitative perfusion imaging techniques for functional brain mapping using pulsed arterial spin labeling,” NMR in Biomedicine, vol. 10, no. 4-5, pp. 237–249, 1997. View at Publisher · View at Google Scholar
  20. R. B. Buxton, L. R. Frank, E. C. Wong, B. Siewert, S. Warach, and R. R. Edelman, “A general kinetic model for quantitative perfusion imaging with arterial spin labeling,” Magnetic Resonance in Medicine, vol. 40, no. 3, pp. 383–396, 1998. View at Publisher · View at Google Scholar
  21. J. M. Warnking and G. B. Pike, “Reducing contamination while closing the gap: BASSI RF pulses in PASL,” Magnetic Resonance in Medicine, vol. 55, no. 4, pp. 865–873, 2006. View at Publisher · View at Google Scholar
  22. B. Stefanovic, J. M. Warnking, E. Kobayashi et al., “Hemodynamic and metabolic responses to activation, deactivation and epileptic discharges,” NeuroImage, vol. 28, no. 1, pp. 205–215, 2005. View at Publisher · View at Google Scholar
  23. B. Stefanovic, J. M. Warnking, K. M. Rylander, and G. B. Pike, “The effect of global cerebral vasodilation on focal activation hemodynamics,” NeuroImage, vol. 30, no. 3, pp. 726–734, 2006. View at Publisher · View at Google Scholar
  24. S.-G. Kim and N. V. Tsekos, “Perfusion imaging by a flow-sensitive alternating inversion recovery (fair) technique: application to functional brain imaging,” Magnetic Resonance in Medicine, vol. 37, no. 3, pp. 425–435, 1997. View at Publisher · View at Google Scholar
  25. T. L. Davis, K. K. Kwong, R. M. Weisskoff, and B. R. Rosen, “Calibrated functional MRI: mapping the dynamics of oxidative metabolism,” Proceedings of the National Academy of Sciences of the United States of America, vol. 95, no. 4, pp. 1834–1839, 1998. View at Publisher · View at Google Scholar
  26. A. Kastrup, G. Krüger, T. Neumann-Haefelin, G. H. Glover, and M. E. Moseley, “Changes of cerebral blood flow, oxygenation, and oxidative metabolism during graded motor activation,” NeuroImage, vol. 15, no. 1, pp. 74–82, 2002. View at Publisher · View at Google Scholar
  27. T.-Q. Li, M. E. Moseley, and G. H. Glover, “A FAIR study of motor cortex activation under normo- and hypercapnia induced by breath challenge,” NeuroImage, vol. 10, no. 5, pp. 562–569, 1999. View at Publisher · View at Google Scholar
  28. R. D. Hoge, J. Atkinson, B. Gill, G. R. Crelier, S. Marrett, and G. B. Pike, “Linear coupling between cerebral blood flow and oxygen consumption in activated human cortex,” Proceedings of the National Academy of Sciences of the United States of America, vol. 96, no. 16, pp. 9403–9408, 1999. View at Publisher · View at Google Scholar
  29. M. S. Vafaee, E. Meyer, S. Marrett, T. Paus, A. C. Evans, and A. Gjedde, “Frequency-dependent changes in cerebral metabolic rate of oxygen during activation of human visual cortex,” Journal of Cerebral Blood Flow & Metabolism, vol. 19, no. 3, pp. 272–277, 1999. View at Google Scholar
  30. G. Germano and E. J. Hoffman, “A study of data loss and mispositioning due to pileup in 2-D detectors in PET,” IEEE Transactions on Nuclear Science, vol. 37, no. 2, pp. 671–675, 1990. View at Publisher · View at Google Scholar
  31. J. M. Ollinger and G. C. Johns, “Model-based scatter correction for fully 3D PET,” in Proceedings of IEEE Nuclear Science Symposium and Medical Imaging Conference, pp. 1264–1268, San Diego, Calif, USA, October 2006.
  32. N. T. Ranger, C. J. Thompson, and A. C. Evans, “The application of a masked orbiting transmission source for attenuation correction in PET,” Journal of Nuclear Medicine, vol. 30, no. 6, pp. 1056–1068, 1989. View at Google Scholar
  33. E. J. Hoffman, T. M. Guerrero, G. Germano, W. M. Digby, and M. Dahlbom, “PET system calibrations and corrections for quantitative and spatially accurate images,” IEEE Transactions on Nuclear Science, vol. 36, no. 1, part 1, pp. 1108–1112, 1989. View at Publisher · View at Google Scholar
  34. S. Ohta, E. Meyer, H. Fujita, D. C. Reutens, A. Evans, and A. Gjedde, “Cerebral [O15]water clearance in humans determined by PET: I. Theory and normal values,” Journal of Cerebral Blood Flow & Metabolism, vol. 16, no. 5, pp. 765–780, 1996. View at Publisher · View at Google Scholar
  35. M. I. Sereno, A. M. Dale, J. B. Reppas et al., “Borders of multiple visual areas in humans revealed by functional magnetic resonance imaging,” Science, vol. 268, no. 5212, pp. 889–893, 1995. View at Publisher · View at Google Scholar
  36. K. J. Worsley, C. H. Liao, J. Aston et al., “A general statistical analysis for fMRI data,” NeuroImage, vol. 15, no. 1, pp. 1–15, 2002. View at Publisher · View at Google Scholar
  37. A. C. Evans, S. Marrett, P. Neelin et al., “Anatomical mapping of functional activation in stereotactic coordinate space,” NeuroImage, vol. 1, no. 1, pp. 43–53, 1992. View at Publisher · View at Google Scholar
  38. J. C. Bezdek, L. O. Hall, and L. P. Clarke, “Review of MR image segmentation techniques using pattern recognition,” Medical Physics, vol. 20, no. 4, pp. 1033–1048, 1993. View at Publisher · View at Google Scholar
  39. D. L. Collins, P. Neelin, T. M. Peters, and A. C. Evans, “Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space,” Journal of Computer Assisted Tomography, vol. 18, no. 2, pp. 192–205, 1994. View at Google Scholar
  40. R. P. Woods, S. R. Cherry, and J. C. Mazziotta, “Rapid automated algorithm for aligning and reslicing PET images,” Journal of Computer Assisted Tomography, vol. 16, no. 4, pp. 620–633, 1992. View at Google Scholar
  41. E. Rostrup, I. Law, M. Blinkenberg et al., “Regional differences in the CBF and BOLD responses to hypercapnia: a combined PET and fMRI study,” NeuroImage, vol. 11, no. 2, pp. 87–97, 2000. View at Publisher · View at Google Scholar
  42. J. M. Warnking and G. B. Pike, “Bandwidth-modulated adiabatic RF pulses for uniform selective saturation and inversion,” Magnetic Resonance in Medicine, vol. 52, no. 5, pp. 1190–1199, 2004. View at Publisher · View at Google Scholar