Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2014, Article ID 108691, 12 pages
http://dx.doi.org/10.1155/2014/108691
Research Article

Quantifying Cerebellum Grey Matter and White Matter Perfusion Using Pulsed Arterial Spin Labeling

1Department of Radiology and Center for Magnetic Resonance Research, University of Minnesota, 2021 Sixth Street SE, Minneapolis, MN 55455, USA
2Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
3Siemens Healthcare, Malvern, PA 19355, USA
4Department of Radiology, UT Southwestern Medical Center, Dallas, TX 75390, USA
5Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX 75390, USA
6Department of Physics & Astronomy, Georgia State University, Atlanta, GA 30302, USA

Received 27 February 2014; Accepted 12 April 2014; Published 15 May 2014

Academic Editor: Danny Jiongjiong Wang

Copyright © 2014 Xiufeng Li 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. E. J. Fine, C. C. Ionita, and L. Lohr, “The history of the development of the cerebellar examination,” Seminars in Neurology, vol. 22, no. 4, pp. 375–384, 2002. View at Publisher · View at Google Scholar · View at Scopus
  2. U. Wolf, M. J. Rapoport, and T. A. Schweizer, “Evaluating the affective component of the cerebellar cognitive affective syndrome,” The Journal of Neuropsychiatry and Clinical Neurosciences, vol. 21, no. 3, pp. 245–253, 2009. View at Publisher · View at Google Scholar · View at Scopus
  3. M.-U. Manto and M. Pandolfo, The Cerebellum and Its Disorders, Cambridge University Press, Cambridge, UK, 2002.
  4. C. Ghez and S. Fahn, “The cerebellum,” in Principles of Neural Science, E. R. Kandel and J. H. Schwartz, Eds., Elsevier, New York, NY, USA, 2nd edition, 1985. View at Google Scholar
  5. 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 Google Scholar · View at Scopus
  6. X. Golay, J. Hendrikse, and T. C. C. Lim, “Perfusion imaging using arterial spin labeling,” Topics in Magnetic Resonance Imaging, vol. 15, no. 1, pp. 10–27, 2004. View at Publisher · View at Google Scholar · View at Scopus
  7. J. A. Detre, O. B. Samuels, D. C. Alsop, J. B. Gonzalez-At, S. E. Kasner, and E. C. Raps, “Noninvasive magnetic resonance imaging evaluation of cerebral blood flow with acetazolamide challenge in patients with cerebrovascular stenosis,” Journal of Magnetic Resonance Imaging, vol. 10, no. 5, pp. 870–875, 1999. View at Google Scholar
  8. K. K. Oguz, X. Golay, F. B. Pizzini et al., “Sickle cell disease: continuous arterial spin-labeling perfusion MR imaging in children,” Radiology, vol. 227, no. 2, pp. 567–574, 2003. View at Publisher · View at Google Scholar · View at Scopus
  9. C. Warmuth, M. Günther, and C. Zimmer, “Quantification of blood flow in brain tumors: comparison of arterial spin labeling and dynamic susceptibility-weighted contrast-enhanced MR imaging,” Radiology, vol. 228, no. 2, pp. 523–532, 2003. View at Publisher · View at Google Scholar · View at Scopus
  10. D. C. Alsop, J. A. Detre, and M. Grossman, “Assessment of cerebral blood flow in Alzheimer's disease by spin-labeled magnetic resonance imaging,” Annals of Neurology, vol. 47, no. 1, pp. 93–100, 2000. View at Google Scholar
  11. S.-P. Lee, A. C. Silva, and S.-G. Kim, “Comparison of diffusion-weighted high-resolution CBF and spin-echo BOLD fMRI at 9.4 T,” Magnetic Resonance in Medicine, vol. 47, no. 4, pp. 736–741, 2002. View at Publisher · View at Google Scholar · View at Scopus
  12. F. Q. Ye, A. M. Smith, V. S. Mattay et al., “Quantitation of regional cerebral blood flow increases in prefrontal cortex during a working memory task: a steady-state arterial spin-tagging study,” NeuroImage, vol. 8, no. 1, pp. 44–49, 1998. View at Publisher · View at Google Scholar · View at Scopus
  13. 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 Google Scholar · View at Scopus
  14. A. J. Huang, J. Hua, J. Farrell et al., “Quantification of cerebral blood flow using arterial spin labeling,” in Proceedings of the 19th Annual Meeting of ISMRM, abstract 301, Montreal, Canada, 2011.
  15. X. Li, S. N. Sarkar, D. E. Purdy, R. W. Haley, and R. W. Briggs, “Asymmetric FAIR—FAIR with active suppression of superior tagging (FAIR ASST),” in Proceedings of the 18th Annual Meeting of ISMRM, abstract 1737, Stockholm, Sweden, 2010.
  16. T. Tsujikawa, T. Yamamoto, M. Ikawa, M. Yoneda, and H. Kimura, “Crossed cerebellar hyperperfusion after MELAS attack followed up by whole brain continuous arterial spin labeling perfusion imaging,” Acta Radiologica, vol. 53, no. 2, pp. 220–222, 2012. View at Publisher · View at Google Scholar · View at Scopus
  17. X. Li, S. N. Sarkar, D. E. Purdy, R. W. Haley, and R. W. Briggs, “Improved quantification of brain perfusion using FAIR with active suppression of superior tagging (FAIR ASST),” Journal of Magnetic Resonance Imaging, vol. 34, no. 5, pp. 1037–1044, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. A. Pfefferbaum, S. Chanraud, A.-L. Pitel et al., “Volumetric cerebral perfusion imaging in healthy adults: regional distribution, laterality, and repeatability of pulsed continuous arterial spin labeling (PCASL),” Psychiatry Research: Neuroimaging, vol. 182, no. 3, pp. 266–273, 2010. View at Publisher · View at Google Scholar · View at Scopus
  19. A. Pfefferbaum, S. Chanraud, A.-L. Pitel et al., “Cerebral blood flow in posterior cortical nodes of the default mode network decreases with task engagement but remains higher than in most brain regions,” Cerebral Cortex, vol. 21, no. 1, pp. 233–244, 2011. View at Publisher · View at Google Scholar · View at Scopus
  20. N. Khalili-Mahani, M. J. P. van Osch, E. Baerends et al., “Pseudocontinuous arterial spin labeling reveals dissociable effects of morphine and alcohol on regional cerebral blood flow,” Journal of Cerebral Blood Flow & Metabolism, vol. 31, no. 5, pp. 1321–1333, 2011. View at Publisher · View at Google Scholar · View at Scopus
  21. Q. Zou, H. Gu, D. J. J. Wang, J.-H. Gao, and Y. Yang, “Quantification of load dependent brain activity in parametric N-back working memory tasks using pseudo-continuous arterial spin labeling (pCASL) perfusion imaging,” Journal of Cognitive Science, vol. 12, no. 2, pp. 127–210, 2011. View at Google Scholar
  22. Q. Qin, A. J. Huang, J. Hua, J. E. Desmond, R. D. Stevens, and P. C. van Zijl, “Three-dimensional whole-brain perfusion quantification using pseudo-continuous arterial spin labeling MRI at multiple post-labeling delays: accounting for both arterial transit time and impulse response function,” NMR in Biomedicine, vol. 27, no. 2, pp. 116–128, 2014. View at Publisher · View at Google Scholar
  23. 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 · View at Scopus
  24. 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 Google Scholar
  25. J. Wang, D. J. Licht, G.-H. Jahng et al., “Pediatric perfusion imaging using pulsed arterial spin labeling,” Journal of Magnetic Resonance Imaging, vol. 18, no. 4, pp. 404–413, 2003. View at Publisher · View at Google Scholar · View at Scopus
  26. 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 Google Scholar · View at Scopus
  27. B. J. MacIntosh, K. T. S. Pattinson, D. Gallichan et al., “Measuring the effects of remifentanil on cerebral blood flow and arterial arrival time using 3D GRASE MRI with pulsed arterial spin labelling,” Journal of Cerebral Blood Flow & Metabolism, vol. 28, no. 8, pp. 1514–1522, 2008. View at Publisher · View at Google Scholar · View at Scopus
  28. R. B. Buxton, “Quantifying CBF with arterial spin labeling,” Journal of Magnetic Resonance Imaging, vol. 22, no. 6, pp. 723–726, 2005. View at Publisher · View at Google Scholar · View at Scopus
  29. L. M. Parkes, “Quantification of cerebral perfusion using arterial spin labeling: two-compartment models,” Journal of Magnetic Resonance Imaging, vol. 22, no. 6, pp. 732–736, 2005. View at Publisher · View at Google Scholar · View at Scopus
  30. D. A. Roberts, R. Rizi, R. E. Lenkinski, and J. S. Leigh Jr., “Magnetic resonance imaging of the brain:blood partition coefficient for water: application to spin-tagging measurement of perfusion,” Journal of Magnetic Resonance Imaging, vol. 6, no. 2, pp. 363–366, 1996. View at Google Scholar · View at Scopus
  31. A. Boss, P. Martirosian, U. Klose, T. Nägele, C. D. Claussen, and F. Schick, “FAIR-TrueFISP imaging of cerebral perfusion in areas of high magnetic susceptibility differences at 1.5 and 3 Tesla,” Journal of Magnetic Resonance Imaging, vol. 25, no. 5, pp. 924–931, 2007. View at Publisher · View at Google Scholar · View at Scopus
  32. D. C. Alsop and J. A. Detre, “Reduced transit-time sensitivity in noninvasive magnetic resonance imaging of human cerebral blood flow,” Journal of Cerebral Blood Flow & Metabolism, vol. 16, no. 6, pp. 1236–1249, 1996. View at Google Scholar · View at Scopus
  33. H. Ito, I. Kanno, M. Ibaraki, J. Hatazawa, and S. Miura, “Changes in human cerebral blood flow and cerebral blood volume during hypercapnia and hypocapnia measured by positron emission tomography,” Journal of Cerebral Blood Flow & Metabolism, vol. 23, no. 6, pp. 665–670, 2003. View at Google Scholar · View at Scopus
  34. H. Ito, K. Inoue, R. Goto et al., “Database of normal human cerebral blood flow measured by SPECT: I. Comparison between I-123-IMP, Tc-99m-HMPAO, and Tc-99m-ECD as referred with O-15 labeled water PET and voxel-based morphometry,” Annals of Nuclear Medicine, vol. 20, no. 2, pp. 131–138, 2006. View at Publisher · View at Google Scholar · View at Scopus
  35. J. Decety, H. Sjoholm, E. Ryding, G. Stenberg, and D. H. Ingvar, “The cerebellum participates in mental activity: tomographic measurements of regional cerebral blood flow,” Brain Research, vol. 535, no. 2, pp. 313–317, 1990. View at Publisher · View at Google Scholar · View at Scopus
  36. N. Miyazawa, K. Toyama, A. S. Arbab, K. Koizumi, T. Arai, and H. Nukui, “Evaluation of crossed cerebellar diaschisis in 30 patients with major cerebral artery occlusion by means of quantitative I-123 IMP SPECT,” Annals of Nuclear Medicine, vol. 15, no. 6, pp. 513–519, 2001. View at Google Scholar · View at Scopus
  37. S. Yoshinari, S. Hamano, N. Eda, M. Sakamoto, and Y. Takahashi, “Development of regional cerebral blood flow during childhood studied with iodine-123 IMP SPECT,” Jikeikai Medical Journal, vol. 53, no. 2, pp. 87–92, 2006. View at Google Scholar
  38. I. Asllani, A. Borogovac, and T. R. Brown, “Regression algorithm correcting for partial volume effects in arterial spin labeling MRI,” Magnetic Resonance in Medicine, vol. 60, no. 6, pp. 1362–1371, 2008. View at Publisher · View at Google Scholar · View at Scopus
  39. P. Pantano, J. C. Baron, P. Lebrun-Grandié, N. Duquesnoy, M. G. Bousser, and D. Comar, “Regional cerebral blood flow and oxygen consumption in human aging,” Stroke, vol. 15, no. 4, pp. 635–641, 1984. View at Google Scholar · View at Scopus
  40. T. G. Shaw, K. F. Mortel, J. S. Meyer, R. L. Rogers, J. Hardenberg, and M. M. Cutaia, “Cerebral blood flow changes in benign aging and cerebrovascular disease,” Neurology, vol. 34, no. 7, pp. 855–862, 1984. View at Google Scholar · View at Scopus