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BioMed Research International
Volume 2016, Article ID 6240504, 13 pages
http://dx.doi.org/10.1155/2016/6240504
Review Article

Application of Arterial Spin Labelling in the Assessment of Ocular Tissues

1School of Optometry, University of Auckland, Auckland 1023, New Zealand
2Department of Anatomy with Radiology, University of Auckland, Auckland 1023, New Zealand

Received 5 November 2015; Accepted 7 February 2016

Academic Editor: Guang Jia

Copyright © 2016 E. Vaghefi and B. Pontré. 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. D. Reynolds and S. E. Olitsky, Pediatric Retina, Springer, 2010.
  2. A. Lens, S. C. Nemeth, and J. K. Ledford, Ocular Anatomy and Physiology, SLACK Incorporated, Thorofare, NJ, USA, 2008.
  3. D. Abramson, Blood Vessels and Lymphatics in Organ Systems, Academic Press, 2012.
  4. H. R. Zhang, “Scanning electron-microscopic study of corrosion casts on retinal and choroidal angioarchitecture in man and animals,” Progress in Retinal and Eye Research, vol. 13, no. 1, pp. 243–270, 1994. View at Publisher · View at Google Scholar · View at Scopus
  5. J. W. Kiel, The Ocular Circulation, Integrated Systems Physiology: From Molecule to Function to Disease, Morgan & Claypool Life Sciences, San Rafael, Calif, USA, 2010.
  6. C. J. Pournaras, E. Rungger-Brändle, C. E. Riva, S. H. Hardarson, and E. Stefansson, “Regulation of retinal blood flow in health and disease,” Progress in Retinal and Eye Research, vol. 27, no. 3, pp. 284–330, 2008. View at Publisher · View at Google Scholar · View at Scopus
  7. G.-H. Jahng, K.-L. Li, L. Ostergaard, and F. Calamante, “Perfusion magnetic resonance imaging: a comprehensive update on principles and techniques,” Korean Journal of Radiology, vol. 15, no. 5, pp. 554–577, 2014. View at Publisher · View at Google Scholar · View at Scopus
  8. P. B. Barker, X. Golay, and G. Zaharchuk, Clinical Perfusion MRI: Techniques and Applications, Cambridge University Press, 2013. View at Publisher · View at Google Scholar
  9. J. G. Webster, The Physiological Measurement Handbook, CRC Press, Philadelphia, Pa, USA, 2014.
  10. J. G. Cunha-Vaz, Diabetic Retinopathy, World Scientific, 2011.
  11. G. Mariani, L. Bruselli, T. Kuwert et al., “A review on the clinical uses of SPECT/CT,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 37, no. 10, pp. 1959–1985, 2010. View at Publisher · View at Google Scholar · View at Scopus
  12. S. M. Eleff, M. D. Schnall, L. Ligetti et al., “Concurrent measurements of cerebral blood flow, sodium, lactate, and high-energy phosphate metabolism using 19F, 23Na, 1H, and 31P nuclear magnetic resonance spectroscopy,” Magnetic Resonance in Medicine, vol. 7, no. 4, pp. 412–424, 1988. View at Publisher · View at Google Scholar · View at Scopus
  13. J. A. Detre, V. H. Subramanian, M. D. Mitchell et al., “Measurement of regional cerebral blood flow in cat brain using intracarotid 2H2O and 2H NMR imaging,” Magnetic Resonance in Medicine, vol. 14, no. 2, pp. 389–395, 1990. View at Publisher · View at Google Scholar · View at Scopus
  14. J. J. H. Ackerman, C. S. Ewy, N. N. Becker, and R. A. Shalwitz, “Deuterium nuclear magnetic resonance measurements of blood flow and tissue perfusion employing 2H2O as a freely diffusible tracer,” Proceedings of the National Academy of Sciences of the United States of America, vol. 84, no. 12, pp. 4099–4102, 1987. View at Publisher · View at Google Scholar · View at Scopus
  15. J. A. Detre, J. S. Leigh, D. S. Williams, and A. P. Koretsky, “Perfusion imaging,” Magnetic Resonance in Medicine, vol. 23, no. 1, pp. 37–45, 1992. View at Publisher · View at Google Scholar · View at Scopus
  16. D. S. Williams, J. A. Detre, J. S. Leigh, A. P. Koretsky, and D. S. Williams, “Magnetic resonance imaging of perfusion using spin inversion of arterial water,” Proceedings of the National Academy of Sciences of the United States of America, vol. 89, no. 1, pp. 212–216, 1992. View at Publisher · View at Google Scholar
  17. A. Li, C. S. Wong, M. K. Wong, C. M. Lee, and M. C. Au Yeung, “Acute adverse reactions to magnetic resonance contrast media—gadolinium chelates,” British Journal of Radiology, vol. 79, no. 941, pp. 368–371, 2006. View at Publisher · View at Google Scholar · View at Scopus
  18. S. Paradiso, D. L. Johnson, N. C. Andreasen et al., “Cerebral blood flow changes associated with attribution of emotional valence to pleasant, unpleasant, and neutral visual stimuli in a PET study of normal subjects,” American Journal of Psychiatry, vol. 156, no. 10, pp. 1618–1629, 1999. View at Publisher · View at Google Scholar · View at Scopus
  19. A. Longo, M. Geiser, and C. E. Riva, “Subfoveal choroidal blood flow in response to light-dark exposure,” Investigative Ophthalmology and Visual Science, vol. 41, no. 9, pp. 2678–2683, 2000. View at Google Scholar · View at Scopus
  20. G. Fuchsjäger-Mayrl, E. Polska, M. Malec, and L. Schmetterer, “Unilateral light-dark transitions affect choroidal blood flow in both eyes,” Vision Research, vol. 41, no. 22, pp. 2919–2924, 2001. View at Publisher · View at Google Scholar · View at Scopus
  21. D. C. Alsop, J. A. Detre, X. Golay et al., “Recommended implementation of arterial spin-labeled Perfusion MRI for clinical applications: a consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia,” Magnetic Resonance in Medicine, vol. 73, no. 1, pp. 102–116, 2015. View at Publisher · View at Google Scholar · View at Scopus
  22. S. Aslan, F. Xu, P. L. Wang et al., “Estimation of labeling efficiency in pseudocontinuous arterial spin labeling,” Magnetic Resonance in Medicine, vol. 63, no. 3, pp. 765–771, 2010. View at Publisher · View at Google Scholar · View at Scopus
  23. M. A. Brown and R. C. Semelka, MRI: Basic Principles and Applications, John Wiley & Sons, Hoboken, NJ, USA, 2003. View at Publisher · View at Google Scholar
  24. E. T. Petersen, I. Zimine, Y.-C. L. Ho, and X. Golay, “Non-invasive measurement of perfusion: a critical review of arterial spin labelling techniques,” British Journal of Radiology, vol. 79, no. 944, pp. 688–701, 2006. View at Publisher · View at Google Scholar · View at Scopus
  25. 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 Publisher · View at Google Scholar · View at Scopus
  26. N. A. Johnson, G.-H. Jahng, M. W. Weiner et al., “Pattern of cerebral hypoperfusion in Alzheimer disease and mild cognitive impairment measured with arterial spin-labeling MR imaging: initial experience,” Radiology, vol. 234, no. 3, pp. 851–859, 2005. View at Publisher · View at Google Scholar · View at Scopus
  27. A. T. Du, G. H. Jahng, S. Hayasaka et al., “Hypoperfusion in frontotemporal dementia and Alzheimer disease by arterial spin labeling MRI,” Neurology, vol. 67, no. 7, pp. 1215–1220, 2006. View at Publisher · View at Google Scholar · View at Scopus
  28. W. T. Hu, Z. Wang, V. M.-Y. Lee, J. Q. Trojanowski, J. A. Detre, and M. Grossman, “Distinct cerebral perfusion patterns in FTLD and AD,” Neurology, vol. 75, no. 10, pp. 881–888, 2010. View at Publisher · View at Google Scholar · View at Scopus
  29. R. L. Wolf, D. C. Alsop, I. Levy-Reis et al., “Detection of mesial temporal lobe hypoperfusion in patients with temporal lobe epilepsy by use of arterial spin labeled perfusion MR imaging,” American Journal of Neuroradiology, vol. 22, no. 7, pp. 1334–1341, 2001. View at Google Scholar · View at Scopus
  30. S. Lui, L. M. Parkes, X. Huang et al., “Depressive disorders: focally altered cerebral perfusion measured with arterial spin-labeling MR imaging,” Radiology, vol. 251, no. 2, pp. 476–484, 2009. View at Publisher · View at Google Scholar · View at Scopus
  31. Y.-M. Lim, Y.-W. Cho, S. Shamim et al., “Usefulness of pulsed arterial spin labeling MR imaging in mesial temporal lobe epilepsy,” Epilepsy Research, vol. 82, no. 2-3, pp. 183–189, 2008. View at Publisher · View at Google Scholar · View at Scopus
  32. B. Duhameau, J.-C. Ferré, P. Jannin et al., “Chronic and treatment-resistant depression: a study using arterial spin labeling perfusion MRI at 3 Tesla,” Psychiatry Research. Neuroimaging, vol. 182, no. 2, pp. 111–116, 2010. View at Publisher · View at Google Scholar · View at Scopus
  33. L. Scheef, C. Manka, M. Daamen et al., “Resting-state perfusion in nonmedicated schizophrenic patients: a continuous arterial spin-labeling 3.0-T MR study,” Radiology, vol. 256, no. 1, pp. 253–260, 2010. View at Publisher · View at Google Scholar · View at Scopus
  34. K. J. Black, J. M. Koller, M. C. Campbell, D. A. Gusnard, and S. I. Bandak, “Quantification of indirect pathway inhibition by the adenosine A2a antagonist SYN115 in Parkinson disease,” The Journal of Neuroscience, vol. 30, no. 48, pp. 16284–16292, 2010. View at Publisher · View at Google Scholar · View at Scopus
  35. R. W. Freudenmann, M. Kölle, A. Huwe et al., “Delusional infestation: neural correlates and antipsychotic therapy investigated by multimodal neuroimaging,” Progress in Neuro-Psychopharmacology and Biological Psychiatry, vol. 34, no. 7, pp. 1215–1222, 2010. View at Google Scholar · View at Scopus
  36. I. R. Olson, H. Rao, K. S. Moore, J. Wang, J. A. Detre, and G. K. Aguirre, “Using perfusion fMRI to measure continuous changes in neural activity with learning,” Brain and Cognition, vol. 60, no. 3, pp. 262–271, 2006. View at Publisher · View at Google Scholar · View at Scopus
  37. J. Wang, H. Rao, G. S. Wetmore et al., “Perfusion functional MRI reveals cerebral blood flow pattern under psychological stress,” Proceedings of the National Academy of Sciences of the United States of America, vol. 102, no. 49, pp. 17804–17809, 2005. View at Publisher · View at Google Scholar · View at Scopus
  38. J. Wang, M. Korczykowski, H. Rao et al., “Gender difference in neural response to psychological stress,” Social Cognitive and Affective Neuroscience, vol. 2, no. 3, pp. 227–239, 2007. View at Publisher · View at Google Scholar · View at Scopus
  39. J. Lim, W.-C. Wu, J. Wang, J. A. Detre, D. F. Dinges, and H. Rao, “Imaging brain fatigue from sustained mental workload: an ASL perfusion study of the time-on-task effect,” NeuroImage, vol. 49, no. 4, pp. 3426–3435, 2010. View at Publisher · View at Google Scholar · View at Scopus
  40. S. J. Gillihan, H. Rao, J. Wang et al., “Serotonin transporter genotype modulates amygdala activity during mood regulation,” Social Cognitive and Affective Neuroscience, vol. 5, no. 1, pp. 1–10, 2009. View at Publisher · View at Google Scholar · View at Scopus
  41. D. J. J. Wang, H. Rao, M. Korczykowski et al., “Cerebral blood flow changes associated with different meditation practices and perceived depth of meditation,” Psychiatry Research: Neuroimaging, vol. 191, no. 1, pp. 60–67, 2011. View at Publisher · View at Google Scholar · View at Scopus
  42. H. Rao, J. Wang, K. Tang, W. Pan, and J. A. Detre, “Imaging brain activity during natural vision using CASL perfusion fMRI,” Human Brain Mapping, vol. 28, no. 7, pp. 593–601, 2007. View at Publisher · View at Google Scholar · View at Scopus
  43. J. M. Pollock, A. R. Deibler, J. H. Burdette et al., “Migraine associated cerebral hyperperfusion with arterial spin-labeled MR imaging,” American Journal of Neuroradiology, vol. 29, no. 8, pp. 1494–1497, 2008. View at Publisher · View at Google Scholar · View at Scopus
  44. J. M. Pollock, A. R. Deibler, T. G. West, J. H. Burdette, R. A. Kraft, and J. A. Maldjian, “Arterial spin-labeled magnetic resonance imaging in hyperperfused seizure focus: a case report,” Journal of Computer Assisted Tomography, vol. 32, no. 2, pp. 291–292, 2008. View at Publisher · View at Google Scholar · View at Scopus
  45. M. A. Griswold, P. M. Jakob, R. M. Heidemann et al., “Generalized autocalibrating partially parallel acquisitions (GRAPPA),” Magnetic Resonance in Medicine, vol. 47, no. 6, pp. 1202–1210, 2002. View at Publisher · View at Google Scholar · View at Scopus
  46. E. T. Petersen, K. Mouridsen, and X. Golay, “The QUASAR reproducibility study, part II: results from a multi-center arterial spin labeling test-retest study,” NeuroImage, vol. 49, no. 1, pp. 104–113, 2010. View at Google Scholar
  47. 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
  48. 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
  49. W.-C. Wu, E. Mohler III, S. J. Ratcliffe, F. W. Wehrli, J. A. Detre, and T. F. Floyd, “Skeletal muscle microvascular flow in progressive peripheral artery disease: assessment with continuous arterial spin-labeling perfusion magnetic resonance imaging,” Journal of the American College of Cardiology, vol. 53, no. 25, pp. 2372–2377, 2009. View at Publisher · View at Google Scholar · View at Scopus
  50. S. Warach, J. F. Dashe, and R. R. Edelman, “Clinical outcome in ischemic stroke predicted by early diffusion-weighted and perfusion magnetic resonance imaging: a preliminary analysis,” Journal of Cerebral Blood Flow and Metabolism, vol. 16, no. 1, pp. 53–59, 1996. View at Google Scholar · View at Scopus
  51. J. A. Chalela, D. C. Alsop, J. B. Gonzalez-Atavales, J. A. Maldjian, S. E. Kasner, and J. A. Detre, “Magnetic resonance perfusion imaging in acute ischemic stroke using continuous arterial spin labeling,” Stroke, vol. 31, no. 3, pp. 680–687, 2000. View at Publisher · View at Google Scholar · View at Scopus
  52. D. A. Roberts, J. A. Detre, L. Bolinger et al., “Renal perfusion in humans: MR imaging with spin tagging of arterial water,” Radiology, vol. 196, no. 1, pp. 281–286, 1995. View at Publisher · View at Google Scholar · View at Scopus
  53. R. L. Wolf, J. Wang, S. Wang et al., “Grading of CNS neoplasms using continuous arterial spin labeled perfusion MR imaging at 3 Tesla,” Journal of Magnetic Resonance Imaging, vol. 22, no. 4, pp. 475–482, 2005. View at Publisher · View at Google Scholar · View at Scopus
  54. T. Noguchi, T. Yoshiura, A. Hiwatashi et al., “Perfusion imaging of brain tumors using arterial spin-labeling: correlation with histopathologic vascular density,” American Journal of Neuroradiology, vol. 29, no. 4, pp. 688–693, 2008. View at Publisher · View at Google Scholar · View at Scopus
  55. M.-A. Weber, M. Günther, M. P. Lichy et al., “Comparison of arterial spin-labeling techniques and dynamic susceptibility-weighted contrast-enhanced MRI in perfusion imaging of normal brain tissue,” Investigative Radiology, vol. 38, no. 11, pp. 712–718, 2003. View at Publisher · View at Google Scholar · View at Scopus
  56. M.-A. Weber, C. Thilmann, M. P. Lichy et al., “Assessment of irradiated brain metastases by means of arterial spin-labeling and dynamic susceptibility-weighted contrast-enhanced perfusion MRI: initial results,” Investigative Radiology, vol. 39, no. 5, pp. 277–287, 2004. View at Publisher · View at Google Scholar · View at Scopus
  57. D. J. J. Wang, J. R. Alger, J. X. Qiao et al., “The value of arterial spin-labeled perfusion imaging in acute ischemic stroke: comparison with dynamic susceptibility contrast-enhanced MRI,” Stroke, vol. 43, no. 4, pp. 1018–1024, 2012. View at Publisher · View at Google Scholar · View at Scopus
  58. R. P. Bokkers, J. P. Bremmer, B. N. van Berckel et al., “Arterial spin labeling perfusion MRI at multiple delay times: a correlative study with H215O positron emission tomography in patients with symptomatic carotid artery occlusion,” Journal of Cerebral Blood Flow & Metabolism, vol. 30, no. 1, pp. 222–229, 2009. View at Publisher · View at Google Scholar
  59. G. Xu, H. A. Rowley, G. Wu et al., “Reliability and precision of pseudo-continuous arterial spin labeling perfusion MRI on 3.0 T and comparison with 15O-water PET in elderly subjects at risk for Alzheimer's disease,” NMR in Biomedicine, vol. 23, no. 3, pp. 286–293, 2010. View at Publisher · View at Google Scholar · View at Scopus
  60. K. K. Kwong, D. A. Chesler, R. M. Weisskoff et al., “MR perfusion studies with T1-weighted echo planar imaging,” Magnetic Resonance in Medicine, vol. 34, no. 6, pp. 878–887, 1995. View at Publisher · View at Google Scholar · View at Scopus
  61. V. W. Y. Wong, T. Y. Y. Lai, P. T. H. Lam, and D. S. C. Lam, “Prioritization of cataract surgery: visual analogue scale versus scoring system,” ANZ Journal of Surgery, vol. 75, no. 7, pp. 587–592, 2005. View at Publisher · View at Google Scholar · View at Scopus
  62. W. Dai, D. Garcia, C. De Bazelaire, and D. C. Alsop, “Continuous flow-driven inversion for arterial spin labeling using pulsed radio frequency and gradient fields,” Magnetic Resonance in Medicine, vol. 60, no. 6, pp. 1488–1497, 2008. View at Publisher · View at Google Scholar · View at Scopus
  63. E. R. Muir, Magnetic resonance imaging of retinal physiology and anatomy in mice [Ph.D. thesis], Georgia Institute of Technology, Atlanta, Ga, USA, 2010.
  64. H. Kolb, “Simple anatomy of the retina,” in Webvision: The Organization of the Retina and Visual System, H. Kolb, E. Fernandez, and R. Nelson, Eds., University of Utah Health Sciences, Salt Lake City, Utah, USA, 1995. View at Google Scholar
  65. S. Gevers, M. J. van Osch, R. P. H. Bokkers et al., “Intra- and multicenter reproducibility of pulsed, continuous and pseudo-continuous arterial spin labeling methods for measuring cerebral perfusion,” Journal of Cerebral Blood Flow and Metabolism, vol. 31, no. 8, pp. 1706–1715, 2011. View at Publisher · View at Google Scholar · View at Scopus
  66. S.-G. Kim, “Quantification of relative cerebral blood flow change by flow-sensitive alternating inversion recovery (FAIR) technique: Application to functional mapping,” Magnetic Resonance in Medicine, vol. 34, no. 3, pp. 293–301, 1995. View at Publisher · View at Google Scholar · View at Scopus
  67. 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 · View at Scopus
  68. R. R. Edelman and Q. Chen, “EPISTAR MRI: multislice mapping of cerebral blood flow,” Magnetic Resonance in Medicine, vol. 40, no. 6, pp. 800–805, 1998. View at Publisher · View at Google Scholar · View at Scopus
  69. J. Wang, D. C. Alsop, L. Li et al., “Comparison of quantitative perfusion imaging using arterial spin labeling at 1.5 and 4.0 Tesla,” Magnetic Resonance in Medicine, vol. 48, no. 2, pp. 242–254, 2002. View at Publisher · View at Google Scholar · View at Scopus
  70. J. Wang, Y. Zhang, R. L. Wolf, A. C. Roc, D. C. Alsop, and J. A. Detre, “Amplitude-modulated continuous arterial spin-labeling 3.0-T perfusion MR imaging with a single coil: feasibility study,” Radiology, vol. 235, no. 1, pp. 218–228, 2005. View at Publisher · View at Google Scholar · View at Scopus
  71. E. C. Wong, R. B. Buxton, and L. R. Frank, “A theoretical and experimental comparison of continuous and pulsed arterial spin labeling techniques for quantitative perfusion imaging,” Magnetic Resonance in Medicine, vol. 40, no. 3, pp. 348–355, 1998. View at Publisher · View at Google Scholar · View at Scopus
  72. B. Roy, R. Awasthi, A. Bindal et al., “Comparative evaluation of 3-dimensional pseudocontinuous arterial spin labeling with dynamic contrast-enhanced perfusion magnetic resonance imaging in grading of human glioma,” Journal of Computer Assisted Tomography, vol. 37, no. 3, pp. 321–326, 2013. View at Publisher · View at Google Scholar · View at Scopus
  73. L. E. Nordin, T.-Q. Li, J. Brogren et al., “Cortical responses to amphetamine exposure studied by pCASL MRI and pharmacokinetic/pharmacodynamic dose modeling,” NeuroImage, vol. 68, pp. 75–82, 2013. View at Publisher · View at Google Scholar · View at Scopus
  74. W.-M. Luh, S. L. Talagala, T.-Q. Li, and P. A. Bandettini, “Pseudo-continuous arterial spin labeling at 7 T for human brain: estimation and correction for off-resonance effects using a Prescan,” Magnetic Resonance in Medicine, vol. 69, no. 2, pp. 402–410, 2013. View at Publisher · View at Google Scholar · View at Scopus
  75. J. M. Pollock, H. Tan, R. A. Kraft, C. T. Whitlow, J. H. Burdette, and J. A. Maldjian, “Arterial spin-labeled MR perfusion imaging: clinical applications,” Magnetic Resonance Imaging Clinics of North America, vol. 17, no. 2, pp. 315–338, 2009. View at Publisher · View at Google Scholar · View at Scopus
  76. X. Golay and E. T. Petersen, “Arterial spin labeling: benefits and pitfalls of high magnetic field,” Neuroimaging Clinics of North America, vol. 16, no. 2, pp. 259–268, 2006. View at Publisher · View at Google Scholar · View at Scopus
  77. K. P. Pruessmann, M. Weiger, M. B. Scheidegger, and P. Boesiger, “SENSE: sensitivity encoding for fast MRI,” Magnetic Resonance in Medicine, vol. 42, no. 5, pp. 952–962, 1999. View at Publisher · View at Google Scholar · View at Scopus
  78. T. Q. Duong and E. R. Muir, “Magnetic resonance imaging of the retina,” Japanese Journal of Ophthalmology, vol. 53, no. 4, pp. 352–367, 2009. View at Publisher · View at Google Scholar · View at Scopus
  79. H. Raoult, J. Petr, E. Bannier et al., “Arterial spin labeling for motor activation mapping at 3T with a 32-channel coil: reproducibility and spatial accuracy in comparison with BOLD fMRI,” NeuroImage, vol. 58, no. 1, pp. 157–167, 2011. View at Publisher · View at Google Scholar · View at Scopus
  80. H. Raoult, J.-Y. Gauvrit, J. Petr et al., “Innovations in functional MR imaging of the brain: arterial spin labeling and diffusion,” Journal de Radiologie, vol. 92, no. 10, pp. 878–888, 2011. View at Publisher · View at Google Scholar · View at Scopus
  81. T. Tjandra, J. C. W. Brooks, P. Figueiredo, R. Wise, P. M. Matthews, and I. Tracey, “Quantitative assessment of the reproducibility of functional activation measured with BOLD and MR perfusion imaging: implications for clinical trial design,” NeuroImage, vol. 27, no. 2, pp. 393–401, 2005. View at Publisher · View at Google Scholar · View at Scopus
  82. S.-H. Park, D. J. J. Wang, and T. Q. Duong, “Balanced steady state free precession for arterial spin labeling MRI: initial experience for blood flow mapping in human brain, retina, and kidney,” Magnetic Resonance Imaging, vol. 31, no. 7, pp. 1044–1050, 2013. View at Publisher · View at Google Scholar · View at Scopus
  83. A. R. Deibler, J. M. Pollock, R. A. Kraft, H. Tan, J. H. Burdette, and J. A. Maldjian, “Arterial spin-labeling in routine clinical practice, part 1: technique and artifacts,” American Journal of Neuroradiology, vol. 29, no. 7, pp. 1228–1234, 2008. View at Publisher · View at Google Scholar · View at Scopus
  84. A. R. Deibler, J. M. Pollock, R. A. Kraft, H. Tan, J. H. Burdette, and J. A. Maldjian, “Arterial spin-labeling in routine clinical practice, part 2: hypoperfusion patterns,” American Journal of Neuroradiology, vol. 29, no. 7, pp. 1235–1241, 2008. View at Publisher · View at Google Scholar · View at Scopus
  85. A. R. Deibler, J. M. Pollock, R. A. Kraft, H. Tan, J. H. Burdette, and J. A. Maldjian, “Arterial spin-labeling in routine clinical practice. Part 3. Hyperperfusion patterns,” American Journal of Neuroradiology, vol. 29, no. 8, pp. 1428–1435, 2008. View at Publisher · View at Google Scholar · View at Scopus
  86. W. T. Dixon, M. Sardashti, M. Castillo, and G. P. Stomp, “Multiple inversion recovery reduces static tissue signal in angiograms,” Magnetic Resonance in Medicine, vol. 18, no. 2, pp. 257–268, 1991. View at Publisher · View at Google Scholar · View at Scopus
  87. F. Q. Ye, J. A. Frank, D. R. Weinberger, and A. C. McLaughlin, “Noise reduction in 3D perfusion imaging by attenuating the static signal in arterial spin tagging (ASSIST),” Magnetic Resonance in Medicine, vol. 44, no. 1, pp. 92–100, 2000. View at Publisher · View at Google Scholar · View at Scopus
  88. D. M. Garcia, G. Duhamel, and D. C. Alsop, “Efficiency of inversion pulses for background suppressed arterial spin labeling,” Magnetic Resonance in Medicine, vol. 54, no. 2, pp. 366–372, 2005. View at Publisher · View at Google Scholar · View at Scopus
  89. W. Dai, P. M. Robson, A. Shankaranarayanan, and D. C. Alsop, “Reduced resolution transit delay prescan for quantitative continuous arterial spin labeling perfusion imaging,” Magnetic Resonance in Medicine, vol. 67, no. 5, pp. 1252–1265, 2012. View at Publisher · View at Google Scholar · View at Scopus
  90. N. Maleki, W. Dai, and D. C. Alsop, “Optimization of background suppression for arterial spin labeling perfusion imaging,” Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 25, no. 2, pp. 127–133, 2012. View at Publisher · View at Google Scholar · View at Scopus
  91. J. B. Hickam, H. O. Sieker, and R. Frayser, “Studies of retinal circulation and AV oxygen difference in man,” Transactions of the American Clinical and Climatological Association, vol. 71, pp. 34–44, 1960. View at Google Scholar · View at Scopus
  92. J. B. Hickam and R. Frayser, “Studies of the retinal circulation in man: observations on vessel diameter, arteriovenous oxygen difference, and mean circulation time,” Circulation, vol. 33, no. 2, pp. 302–316, 1966. View at Publisher · View at Google Scholar
  93. F. C. Delori, “Noninvasive technique for oximetry of blood in retinal vessels,” Applied Optics, vol. 27, no. 6, pp. 1113–1125, 1988. View at Publisher · View at Google Scholar · View at Scopus
  94. A. Alm and A. Bill, “Ocular and optic nerve blood flow at normal and increased intraocular pressures in monkeys (Macaca irus): a study with radioactively labelled microspheres including flow determinations in brain and some other tissues,” Experimental Eye Research, vol. 15, no. 1, pp. 15–29, 1973. View at Publisher · View at Google Scholar · View at Scopus
  95. N. D. Wangsa-Wirawan and R. A. Linsenmeier, “Retinal oxygen: fundamental and clinical aspects,” Archives of Ophthalmology, vol. 121, no. 4, pp. 547–557, 2003. View at Publisher · View at Google Scholar · View at Scopus
  96. C. Delaey and J. Van de Voorde, “Regulatory mechanisms in the retinal and choroidal circulation,” Ophthalmic Research, vol. 32, no. 6, pp. 249–256, 2000. View at Publisher · View at Google Scholar · View at Scopus
  97. Y. Tamaki, M. Araie, E. Kawamoto, S. Eguchi, and H. Fujii, “Non-contact, two-dimensional measurement of tissue circulation in choroid and optic nerve head using laser speckle phenomenon,” Experimental Eye Research, vol. 60, no. 4, pp. 373–383, 1995. View at Publisher · View at Google Scholar · View at Scopus
  98. M. Kim, S. S. Kim, H. J. Kwon, H. J. Koh, and S. C. Lee, “Association between choroidal thickness and ocular perfusion pressure in young, healthy subjects: enhanced depth imaging optical coherence tomography study,” Investigative Ophthalmology and Visual Science, vol. 53, no. 12, pp. 7710–7717, 2012. View at Publisher · View at Google Scholar · View at Scopus
  99. D. J. Coleman, R. H. Silverman, A. Chabi et al., “High-resolution ultrasonic imaging of the posterior segment,” Ophthalmology, vol. 111, no. 7, pp. 1344–1351, 2004. View at Publisher · View at Google Scholar · View at Scopus
  100. Y. Jia, S. T. Bailey, D. J. Wilson et al., “Quantitative optical coherence tomography angiography of choroidal neovascularization in age-related macular degeneration,” Ophthalmology, vol. 121, no. 7, pp. 1435–1444, 2014. View at Publisher · View at Google Scholar · View at Scopus
  101. Y. Jia, E. Wei, X. Wang et al., “Optical coherence tomography angiography of optic disc perfusion in glaucoma,” Ophthalmology, vol. 121, no. 7, pp. 1322–1332, 2014. View at Publisher · View at Google Scholar · View at Scopus
  102. Y. Wang, B. A. Bower, J. A. Izatt, O. Tan, and D. Huang, “Retinal blood flow measurement by circumpapillary Fourier domain Doppler optical coherence tomography,” Journal of Biomedical Optics, vol. 13, no. 6, Article ID 064003, 2008. View at Publisher · View at Google Scholar · View at Scopus
  103. B. Baumann, B. Potsaid, M. F. Kraus et al., “Total retinal blood flow measurement with ultrahigh speed swept source/Fourier domain OCT,” Biomedical Optics Express, vol. 2, no. 6, pp. 1539–1552, 2011. View at Publisher · View at Google Scholar · View at Scopus
  104. J. M. Harazny, U. Raff, J. Welzenbach et al., “New software analyses increase the reliability of measurements of retinal arterioles morphology by scanning laser Doppler flowmetry in humans,” Journal of Hypertension, vol. 29, no. 4, pp. 777–782, 2011. View at Publisher · View at Google Scholar · View at Scopus
  105. V. A. Alder, J. Ben-Nun, and S. J. Cringle, “PO2 profiles and oxygen consumption in cat retina with an occluded retinal circulation,” Investigative Ophthalmology and Visual Science, vol. 31, no. 6, pp. 1029–1034, 1990. View at Google Scholar · View at Scopus
  106. R. G. Buttery, C. F. L. Hinrichsen, W. L. Weller, and J. R. Haight, “How thick should a retina be? A comparative study of mammalian species with and without intraretinal vasculature,” Vision Research, vol. 31, no. 2, pp. 169–187, 1991. View at Publisher · View at Google Scholar · View at Scopus
  107. V. Patel, S. Rassam, R. Newsom, J. Wiek, and E. Kohner, “Retinal blood flow in diabetic retinopathy,” British Medical Journal, vol. 305, no. 6855, pp. 678–683, 1992. View at Publisher · View at Google Scholar · View at Scopus
  108. E. M. Kohner, V. Patel, and M. B. Salwan, “Role of blood flow and impaired autoregulation in the pathogenesis of diabetic retinopathy,” Diabetes, vol. 44, no. 6, pp. 603–607, 1995. View at Publisher · View at Google Scholar · View at Scopus
  109. A. P. Adamis, J. W. Miller, M.-T. Bernal et al., “Increased vascular endothelial growth factor levels in the vitreous of eyes with proliferative diabetic retinopathy,” American Journal of Ophthalmology, vol. 118, no. 4, pp. 445–450, 1994. View at Publisher · View at Google Scholar · View at Scopus
  110. T. Kawagishi, Y. Nishizawa, M. Emoto et al., “Impaired retinal artery blood flow in IDDM patients before clinical manifestations of diabetic retinopathy,” Diabetes Care, vol. 18, no. 12, pp. 1544–1549, 1995. View at Publisher · View at Google Scholar · View at Scopus
  111. S. Konno, G. T. Feke, A. Yoshida, N. Fujio, D. G. Goger, and S. M. Buzney, “Retinal blood flow changes in type I diabetes. A long-term, follow-up study,” Investigative Ophthalmology and Visual Science, vol. 37, no. 6, pp. 1140–1148, 1996. View at Google Scholar · View at Scopus
  112. A. C. Clermont, L. P. Aiello, F. Mori, L. M. Aiello, and S.-E. Bursell, “Vascular endothelial growth factor and severity of nonproliferative diabetic retinopathy mediate retinal hemodynamics in vivo: a potential role for vascular endothelial growth factor in the progression of nonproliferative diabetic retinopathy,” American Journal of Ophthalmology, vol. 124, no. 4, pp. 433–446, 1997. View at Publisher · View at Google Scholar · View at Scopus
  113. G. T. Feke, H. Tagawa, A. Yoshida et al., “Retinal circulatory changes related to retinopathy progression in insulin-dependent diabetes mellitus,” Ophthalmology, vol. 92, no. 11, pp. 1517–1522, 1985. View at Publisher · View at Google Scholar · View at Scopus
  114. J. E. Grunwald, C. E. Riva, S. H. Sinclair, A. J. Brucker, and B. L. Petrig, “Laser Doppler velocimetry study of retinal circulation in diabetes mellitus,” Archives of Ophthalmology, vol. 104, no. 7, pp. 991–996, 1986. View at Publisher · View at Google Scholar · View at Scopus
  115. D. Gherghel, S. Orgül, K. Gugleta, M. Gekkieva, and J. Flammer, “Relationship between ocular perfusion pressure and retrobulbar blood flow in patients with glaucoma with progressive damage,” American Journal of Ophthalmology, vol. 130, no. 5, pp. 597–605, 2000. View at Publisher · View at Google Scholar · View at Scopus
  116. C. M. Yancey and R. A. Linsenmeier, “Oxygen distribution and consumption in the cat retina at increased intraocular pressure,” Investigative Ophthalmology and Visual Science, vol. 30, no. 4, pp. 600–611, 1989. View at Google Scholar · View at Scopus
  117. C. E. Riva, J. E. Grunwald, and B. L. Petrig, “Autoregulation of human retinal blood flow. An investigation with laser doppler velocimetry,” Investigative Ophthalmology and Visual Science, vol. 27, no. 12, pp. 1706–1712, 1986. View at Google Scholar · View at Scopus
  118. J. Chen and L. E. H. Smith, “Retinopathy of prematurity,” Angiogenesis, vol. 10, no. 2, pp. 133–140, 2007. View at Publisher · View at Google Scholar · View at Scopus
  119. N. Ashton, “Pathological basis of retrolental fibroplasia,” British Journal of Ophthalmology, vol. 38, no. 7, pp. 385–396, 1954. View at Publisher · View at Google Scholar · View at Scopus
  120. V. E. Kinsey, H. J. Arnold, R. E. Kalina et al., “PaO2 levels and retrolental fibroplasia: a report of the cooperative study,” Pediatrics, vol. 60, no. 5, pp. 655–668, 1977. View at Google Scholar
  121. E. J. Chung, J. H. Kim, H. S. Ahn, and H. J. Koh, “Combination of laser photocoagulation and intravitreal bevacizumab (Avastin®) for aggressive zone I retinopathy of prematurity,” Graefe's Archive for Clinical and Experimental Ophthalmology, vol. 245, no. 11, pp. 1727–1730, 2007. View at Publisher · View at Google Scholar · View at Scopus
  122. C. D. Regillo and W. E. Benson, Retinal Detachment: Diagnosis and Management, Lippincott-Raven, 1998.
  123. A. Gaudric, M. Sterkers, and G. Coscas, “Retinal detachment after choroidal ischemia,” American Journal of Ophthalmology, vol. 104, no. 4, pp. 364–372, 1987. View at Publisher · View at Google Scholar · View at Scopus
  124. E. R. Muir, R. C. Rentería, and T. Q. Duong, “Reduced ocular blood flow as an early indicator of diabetic retinopathy in a mouse model of diabetes,” Investigative Ophthalmology and Visual Science, vol. 53, no. 10, pp. 6488–6494, 2012. View at Publisher · View at Google Scholar · View at Scopus
  125. E. R. Muir, B. De La Garza, and T. Q. Duong, “Blood flow and anatomical MRI in a mouse model of retinitis pigmentosa,” Magnetic Resonance in Medicine, vol. 69, no. 1, pp. 221–228, 2013. View at Publisher · View at Google Scholar · View at Scopus
  126. Y.-Y. I. Shih, L. Wang, B. H. De La Garza et al., “Quantitative retinal and choroidal blood flow during light, dark adaptation and flicker light stimulation in rats using fluorescent microspheres,” Current Eye Research, vol. 38, no. 2, pp. 292–298, 2013. View at Publisher · View at Google Scholar · View at Scopus
  127. G. Li, B. De La Garza, Y.-Y. I. Shih, E. R. Muir, and T. Q. Duong, “Layer-specific blood-flow MRI of retinitis pigmentosa in RCS rats,” Experimental Eye Research, vol. 101, pp. 90–96, 2012. View at Publisher · View at Google Scholar · View at Scopus
  128. G. Li, Y.-Y. I. Shih, J. W. Kiel, B. De La Garza, F. Du, and T. Q. Duong, “MRI study of cerebral, retinal and choroidal blood flow responses to acute hypertension,” Experimental Eye Research, vol. 112, pp. 118–124, 2013. View at Publisher · View at Google Scholar · View at Scopus
  129. Y. Zhang, H.-Y. Wey, O. S. E. Nateras, Q. Peng, B. H. De La Garza, and T. Q. Duong, “Anatomical, blood oxygenation level-dependent, and blood flow MRI of nonhuman primate (baboon) retina,” Magnetic Resonance in Medicine, vol. 66, no. 2, pp. 546–554, 2011. View at Publisher · View at Google Scholar · View at Scopus
  130. N. Maleki, W. Dai, and D. C. Alsop, “Blood flow quantification of the human retina with MRI,” NMR in Biomedicine, vol. 24, no. 1, pp. 104–111, 2011. View at Publisher · View at Google Scholar · View at Scopus
  131. A. Lemke, F. B. Laun, D. Simon, B. Stieltjes, and L. R. Schad, “An in vivo verification of the intravoxel incoherent motion effect in diffusion-weighted imaging of the abdomen,” Magnetic Resonance in Medicine, vol. 64, no. 6, pp. 1580–1585, 2010. View at Publisher · View at Google Scholar · View at Scopus
  132. J. V. Hajnal, D. J. Bryant, L. Kasuboski et al., “Use of fluid attenuated inversion recovery (FLAIR) pulse sequences in MRI of the brain,” Journal of Computer Assisted Tomography, vol. 16, no. 6, pp. 841–844, 1992. View at Publisher · View at Google Scholar · View at Scopus
  133. 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 · View at Scopus
  134. K. Zierler, “A critique of compartmental analysis,” Annual Review of Biophysics and Bioengineering, vol. 10, no. 1, pp. 531–562, 1981. View at Publisher · View at Google Scholar · View at Scopus
  135. P. Herscovitch and M. E. Raichle, “What is the correct value for the brain-blood partition coefficient for water?” Journal of Cerebral Blood Flow and Metabolism, vol. 5, no. 1, pp. 65–69, 1985. View at Publisher · View at Google Scholar · View at Scopus
  136. H. Lu, C. Clingman, X. Golay, and P. C. M. van Zijl, “Determining the longitudinal relaxation time (T1) of blood at 3.0 Tesla,” Magnetic Resonance in Medicine, vol. 52, no. 3, pp. 679–682, 2004. View at Publisher · View at Google Scholar · View at Scopus
  137. N. Maleki, W. Dai, and D. C. Alsop, “A systematic approach to optimizing background suppression for arterial spin labeling perfusion imaging,” Proceedings of the International Society for Magnetic Resonance in Medicine, vol. 16, p. 1929, 2008. View at Google Scholar
  138. N. Maleki, D. C. Alsop, W. Dai et al., “The effect of hypercarbia and hyperoxia on the total blood flow to the retina as assessed by magnetic resonance imaging,” Investigative Ophthalmology and Visual Science, vol. 52, no. 9, pp. 6867–6874, 2011. View at Publisher · View at Google Scholar · View at Scopus
  139. Q. Peng, Y. Zhang, O. S. E. Nateras, M. J. P. van Osch, and T. Q. Duong, “MRI of blood flow of the human retina,” Magnetic Resonance in Medicine, vol. 65, no. 6, pp. 1768–1775, 2011. View at Publisher · View at Google Scholar · View at Scopus
  140. Y. Zhang, O. S. Emeterio Nateras, Q. Peng, C. A. Rosende, and T. Q. Duong, “Blood flow MRI of the human retina/choroid during rest and isometric exercise,” Investigative Ophthalmology and Visual Science, vol. 53, no. 7, pp. 4299–4305, 2012. View at Publisher · View at Google Scholar · View at Scopus
  141. Y. Zhang, J. M. Harrison, O. S. E. Nateras, S. Chalfin, and T. Q. Duong, “Decreased retinal–choroidal blood flow in retinitis pigmentosa as measured by MRI,” Documenta Ophthalmologica, vol. 126, no. 3, pp. 187–197, 2013. View at Publisher · View at Google Scholar · View at Scopus
  142. O. S. Emeterio Nateras, J. M. Harrison, E. R. Muir et al., “Choroidal blood flow decreases with age: an MRI study,” Current Eye Research, vol. 39, no. 10, pp. 1059–1067, 2014. View at Publisher · View at Google Scholar · View at Scopus
  143. E. Vaghefi, B. P. Pontre, M. D. Jacobs, and P. J. Donaldson, “Visualizing ocular lens fluid dynamics using MRI: manipulation of steady state water content and water fluxes,” American Journal of Physiology—Regulatory Integrative and Comparative Physiology, vol. 301, no. 2, pp. R335–R342, 2011. View at Publisher · View at Google Scholar · View at Scopus
  144. E. Vaghefi and P. J. Donaldson, “An exploration into diffusion tensor imaging in the bovine ocular lens,” Frontiers in Physiology, vol. 4, p. 33, 2013. View at Publisher · View at Google Scholar · View at Scopus
  145. E. Vaghefi, B. Pontre, P. J. Donaldson, P. J. Hunter, and M. D. Jacobs, “Visualization of transverse diffusion paths across fiber cells of the ocular lens by small animal MRI,” Physiological Measurement, vol. 30, no. 10, pp. 1061–1073, 2009. View at Publisher · View at Google Scholar · View at Scopus
  146. E. Vaghefi, K. Walker, B. P. Pontre, M. D. Jacobs, and P. J. Donaldson, “Magnetic resonance and confocal imaging of solute penetration into the lens reveals a zone of restricted extracellular space diffusion,” The American Journal of Physiology—Regulatory Integrative and Comparative Physiology, vol. 302, no. 11, pp. R1250–R1259, 2012. View at Publisher · View at Google Scholar · View at Scopus
  147. E. Vaghefi, B. P. Pontre, K. L. Walker, and P. J. Donaldson, “Visualisation of solute fluxes in the lens reveals a barrier to extracellular diffusion,” in International Conference on the Lens, Kailua-Kona, Hawaii, USA, 2012.
  148. E. Vaghefi and M. D. Jacobs, “Uptake and distribution of gadolinium in the ocular lens,” in Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS '08), pp. 843–846, Vancouver, Canada, 2008.