Artifacts and pitfalls in perfusion MR imaging

Clinical MR Neuroimaging: Physiological and Functional Techniques, Second Edition

Volumn , Issue , 2011, Pages 137-155

  Calamante, Fernando ^a  

^a FLOREY INSTITUTE OF NEUROSCIENCE AND MENTAL HEALTH   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD VESSELS; HEMODYNAMICS; MAGNETIC RESONANCE IMAGING; MAGNETIC SUSCEPTIBILITY;

ABSOLUTE MEASUREMENTS; ABSOLUTE QUANTIFICATION; ARTERIAL SPIN LABELING; CEREBRAL BLOOD FLOW; CEREBRAL BLOOD VOLUME(CBV); DYNAMIC SUSCEPTIBILITY CONTRAST MRIS; PARAMAGNETIC CONTRASTS; POTENTIAL SOURCES;

BLOOD;

EID: 85011422791     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9781139193481.014     Document Type: Chapter

References (117)

1. Rosen BR, Belliveau JW, Vevea JM, Brady TJ. Perfusion imaging with NMR contrast agents. Magn Reson Med 1990; 14: 249-265.
2. Weisskoff RM, Zuo CS, Boxerman JL, Rosen BR. Microscopic susceptibility variation and transverse relaxation. Theory and experiment. Magn Reson Med 1994; 31: 601-610.
3. Kiselev VG. On the theoretical basis of perfusion measurements by dynamic susceptibility contrast MRI. Magn Reson Med 2001; 46: 1113-1122.
4. van Osch MJP, Vonken EPA, Viergever MA, van der Grond J, Bakker CJG. Measuring the arterial input function with gradient echo sequences. Magn Reson Med 2003; 49: 1067-1076.
5. Kjolby BF, Østergaard L, Kiselev VG. Theoretical model of intravascular paramagnetic tracers effect on tissue relaxation. Magn Reson Med 2006; 56, 187-197.
6. Akbudak E, Conturo TE. Arterial input functions from MR phase imaging. Magn Reson Med 1996; 36: 809-815.
7. 2* effects in perfusion quantification using bolus-tracking MRI. Magn Reson Med 2009; 61: 486-492.
8. Rempp KA, Brix G, Wenz F, et al. Quantification of regional cerebral blood flow and volume with dynamic susceptibility contrastenhanced MR imaging. Radiology 1994; 193: 637-641.
9. Schreiber WG, Gückel F, Stritzke P, et al. Cerebral blood flow and cerebrovascular reserve capacity: estimation by dynamic magnetic resonance imaging. J Cereb Blood Flow Metab 1998; 18: 1143-1156.
10. Vonken EPA, van Osch MJP, Baker CJG, Viergever MA. Measurement of cerebral perfusion with dual-echo multi-slice quantitative dynamic susceptibility contrast MRI. J Magn Reson Imaging 1999; 10: 109-117.
11. Smith AM, Grandin CB, Duprez T, Mataigne F, Cosnar G. Whole brain quantitative CBF and CBV measurements using MRI bolus tracking: comparison of methodologies. Magn Reson Med 2000; 43: 559-654.
12. Grandin CB, Duprez TP, Smith AM, et al. Usefulness of magnetic resonancederived quantitative measurements of cerebral blood flow and volume in prediction of infarct growth in hyperacute stroke. Stroke 32: 1147-1153.
13. Johnson KM, Tao JZT, Kennan RP, Gore JC. Intravascular susceptibility agent effects on tissue transverse relaxation rates in vivo. Magn Reson Med 2001; 44: 909-914.
14. 2* and gadolinium concentration in vivo. In Proceedings of the 5th International Society for Magnetic Resonance in Medicine, Vancouver, 1997, p. 1792.
15. Calamante F, Thomas DL, Pell GS, Wiersma J, Turner R. Measuring cerebral blood flow using magnetic resonance techniques. J Cereb Blood Flow Metab 1999; 19: 701-735.
16. Loufti I, Frackowiak RS, Myers MJ, Lavender JP. Regional brain hematocrit in stroke by single photon emission computer tomography imaging. Am J Physiol Imaging 1987; 2: 10-16.
17. Yamamuchi H, Fukuyama H, Nagahama Y, Katsumi Y, Okazawa H. Cerebral hematocrit decreases with hemodynamic compromise in carotid artery occlusion: a PET study. Stroke 1998; 29: 98-103.
18. Calamante F, Gadian DG, Connelly A. Quantification of perfusion using bolus tracking MRI in stroke. Assumptions, limitations, and potential implications for clinical use. Stroke 2002; 33: 1146-1151.
19. 2O positron emission tomography in humans. J Cereb Blood Flow Metab 1998; 18: 935-940.
20. Østergaard L, Smith DF, Vestergaard-Poulsen P, et al. Absolute cerebral blood flow and blood volume measured by magnetic resonance imaging bolus tracking: comparison with positron emission tomography values. J Cereb Blood Flow Metab 1998; 18: 425-432.
21. Lin W, Celik A, Derdeyn C, et al. Østergaard L, Powers WJ. Quantitative measurements of cerebral blood flow in patients with unilateral carotid artery occlusion: a PET and MR study. J Magn Reson Imaging 2001; 14: 659-667.
22. Mukherjee P, Kang HC, Videen TO, et al. Measurement of cerebral blood flow in chronic carotid occlusive disease: comparison of dynamic susceptibility contrast perfusion MR imaging with positron emission tomography. AJNR Am J Neuroradiol 2003; 24: 862-871.
23. Grandin C, Bol A, Smith A, Michel C, Cosnard G. Absolute CBF and CBV measurements by MRI bolus tracking before and after acetazolamide challenge: repeatability and comparison with PET in humans. Neuroimage 2005; 26: 525-535.
24. Shin W, Horowitz S, Ragin A, et al. Quantitative cerebral perfusion using dynamic susceptibility contrast MRI: evaluation of reproducibility and age-and gender-dependence with fully automatic image postprocessing algorithm. Magn Reson Med 2007; 58: 1232-1241.
25. Calamante F, Gadian DG, Connelly A. Delay and dispersion effects in dynamic susceptibility contrast MRI: simulations using singular value decomposition. Magn Reson Med 2000; 44: 466-473.
26. Neumann-Haefelin T, Wittsack H-J, Fink GR, et al. Diffusion-and perfusionweighted MRI. Influence of severe carotid artery stenosis on the DWI/PWI mismatch in acute stroke. Stroke 2000; 31: 1311-1317.
27. Calamante F, Ganesan V, Kirkham FJ, et al. MR perfusion imaging in moyamoya syndrome. Potential implications for clinical evaluation of occlusive cerebrovascular disease. Stroke 2001; 32: 2810-2816.
28. Calamante F, Willats L, Gadian DG, Connelly A. Bolus delay and dispersion in perfusion MRI: implications for tissue predictor models in stroke. Magn Reson Med 2006; 55: 1180-1185.
29. Wu O, Østergaard L, Weisskoff RM, et al. Tracer arrival timing-insensitive technique for estimating flow in MR perfusion-weighted imaging using singular value decomposition with a blockcirculant deconvolution matrix. Magn Reson Med 2003; 50: 164-174.
30. Smith MR, Lu H, Trochet S, Frayne R. Removing the effect of SVD algorithmic artifacts present in quantitative MR perfusion studies. Magn Reson Med 2004; 51: 631-634.
31. Østergaard L, Chesler DA, Weisskoff RM, Sorensen AG, Rosen BR. Modeling cerebral blood flow and flow heterogeneity from magnetic resonance residue data. J Cereb Blood Flow Metab 1999; 19: 690-699.
32. Calamante F, Yim PJ, Cebral JR. Estimation of bolus dispersion effects in perfusion MRI using imagebased computational fluid dynamics. Neuroimage 2003; 19: 341-353.
33. Alsop DC, Wedmid A, Schlaug G. Defining a local input function for perfusion quantification with bolus contrast MRI. In Proceedings of the 10th Annual Meeting of the International Society of Magnetic Resonance in Medicine, Honolulu, 2002, p. 659.
34. Calamante F, Mørup M, Hansen LK. Defining a local arterial input function for perfusion MRI using independent component analysis. Magn Reson Med 2004; 52: 789-797.
35. Grüner R, Bjørnarå B, Moen G, Taxt T. Magnetic resonance brain perfusion imaging with voxel-specific arterial input functions. Magn Reson Med 2006; 23: 273-284.
36. Lorenz C, Benner T, Lopez CJ, et al. Effect of using local arterial input functions on cerebral blood flow estimation. J Magn Reson Imaging 2006; 24: 57-65.
37. Calamante F. Measuring cerebral perfusion using magnetic resonance imaging. In Vascular Hemodynamics: Bioengineering and Clinical Perspectives, ed. Yim PJ. Chichester, UK: John Wiley, 2008, pp. 245-271.
38. Wirestam R, Ryding E, Lindgren A, et al. Absolute cerebral blood flow measured by dynamic susceptibility contrast MRI: a direct comparison with Xe-133 SPECT. MAGMA 2000; 11: 96-103.
39. van Osch MJP, Vonken EPA, Bakker CJG, Viergever MA. Correcting partial volume artifacts of the arterial input function in quantitative cerebral perfusion MRI. Magn Reson Med 2001; 45: 477-485.
40. Boxerman JL, Hamberg LM, Rosen BR, Weisskoff RM. MR contrast due to intravascular magneticsusceptibility perturbations. Magn Reson Med 1995; 34: 555-566.
41. van Osch MJP, van der Grond J, Bakker CJG. Partial volume effects on arterial input functions: shape and amplitude distortions and their correction. J Magn Reson Imaging 2005; 22: 704-709.
42. Ellinger R, Kremser C, Schocke MFH, et al. The impact of peak saturation of the arterial input function on quantitative evaluation of dynamic susceptibility contrast enhanced MR studies. J Comput Assist Tomogr 2000; 24: 942-948.
43. Newbould RD, Skare ST, Jochimsen TH, et al. Perfusion mapping with multiecho multishot parallel imaging EPI. Magn Reson Med 2007; 58: 70-81.
44. Zierler KL. Equations for measuring blood flow by external monitoring of radioisotopes. Circ Res 1965; 16: 309-321.
45. Thompson HK, Starmer F, Whalen RE, McIntosh HD. Indicator transit time considered as a gamma variate. Circ Res 1964; 14: 502-515.
46. Levin JM, Kaufman MJ, Ross MJ, et al. Sequential dynamic susceptibility contrast MR experiments in human brain: residual contrast agent effect, steady state, and hemodynamic perturbation. Magn Reson Med 1995; 34: 655-663.
47. Kassner A, Annesley DJ, Zhu XP, et al. Abnormalities of the contrast re-circulation phase in cerebral tumors demonstrated using dynamic susceptibility contrastenhanced imaging: a possible marker of vascular tortuosity. J Magn Reson Imaging 2000; 11: 103-113.
48. Boxerman JL, Rosen BR, Weisskoff RM. Signal-tonoise analysis of cerebral blood volume maps from dynamic NMR imaging studies. J Magn Reson Imaging 1997; 7: 528-537.
49. 1 effects in sequential dynamic susceptibility contrast experiments. J Magn Reson 1998; 130: 292-295.
50. Sorensen AG, Reimer P. Cerebral MR Perfusion Imaging. Principles and Current Applications. Stuttgart: Thieme, 2000.
51. Vonken EPA, van Osch MJP, Baker CJG, Viergever MA. Simultaneous qualitative cerebral perfusion and Gd-DTPA extravasation measurements with dualecho dynamic susceptibility contrast MRI. Magn Reson Med 2000; 43: 820-827.
52. Quarles CC, Ward BD, Schmainda KM. Improving the reliability of obtaining tumor hemodynamic parameters in the presence of contrast agent extravasation. Magn Reson Med 2005; 53: 1307-1316.
53. Weisskoff RM, Boxerman JL, Sorensen AG, et al. Simultaneous blood volume and permeability mapping using a single Gd-based contrast injection. In Proceedings of the 2nd Annual Meeting of the International Society for Magnetic Resonance in Medicine, San Francisco, 1994, p. 279.
54. Donahue KM, Krouwer HGJ, Rand SD, et al. Utility of simultaneously acquired gradient-echo and spin-echo cerebral blood volume and morphology maps in brain tumor patients. Magn Reson Med 2000; 43: 845-853.
55. 2*-weighted contrast-enhanced MRI. Magn Reson Med 2004; 51: 961-968.
56. Calamante F, Vonken EPA, van Osch MJP. Contrast agent measurements affecting quantification of bolus-tracking perfusion MRI. Magn Reson Med 2007; 58: 544-553.
57. Flacke S, Urbach H, Folkers PJ, et al. Ultra-fast three-dimensional MR perfusion imaging of the entire brain in acute stroke assessment. J Magn Reson Imaging 2000; 11: 250-259.
58. Fischer H, Ladebeck R. Echoplanar imaging image artifacts. In Echo-planar Imaging. Theory, Technique and Application, eds. Schmitt F, Stehling MK, Turner R. Berlin: Springer, 1998, pp. 179-200.
59. Hou L, Yang Y, Mattay VS, Frank JA, Duyn JH. Optimization of fast acquisition methods for whole-brain relative cerebral blood volume (rCBV) mapping with susceptibility contrast agents. J Magn Reson Imaging 1999; 9: 233-239.
60. Weisskoff RM, Chesler D, Boxerman JL, Rosen BR. Pitfalls in MR measurement of tissue blood flow with intravascular tracers: which mean transit-time? Magn Reson Med 1993; 29: 553-559.
61. Perthen JE, Calamante F, Gadian DG, Connelly A. Is quantification of bolus tracking MRI reliable without deconvolution? Magn Reson Med 2002; 47: 61-67.
62. Kosior RK, Kosior JC, Frayne R. Improved dynamic susceptibility contrast (DSC)-MR perfusion estimates by motion correction. J Magn Reson Imaging 2007; 26: 1167-1172.
63. Wong EC, Buxton RB, Frank LR. Implementation of quantitative perfusion imaging techniques for functional brain mapping using pulsed arterial spin labeling. NMR Biomed 1997; 10: 237-249.
64. Yang Y, Engelien W, Xu S, et al. Transit time, trailing time, and cerebral blood flow during brain activation: measurement using multislice, pulsed spinlabeling perfusion imaging. Magn Reson Med 2000; 44: 680-685.
65. Alsop DC, Detre JA. Reduced transit-time sensitivity in noninvasive magnetic resonance imaging of human cerebral blood flow. J Cereb Blood Flow Metab 1996; 16: 1236-1249.
66. Buxton RB, Frank LR, Wong EC, et al. A general kinetic model for quantitative perfusion imaging with arterial spin labeling. Magn Reson Med 1998; 40: 383-396.
67. Pell GS, Thomas DL, Lythgoe MF, et al. The implementation of quantitative FAIR perfusion imaging with a short repetition time in timecourse studies. Magn Reson Med 1999; 41: 829-840.
68. Hendrikse J, Petersen ET, van Laar PJ, Golay X. Cerebral border zones between distal end branches of intracranial arteries: MR imaging. Radiology 2008; 246: 572-580.
69. van Gelderen P, de Zwart JA, Duyn JH. Pitfalls of MRI measurement of white matter perfusion based on arterial spin labeling. Magn Reson Med 2008; 59: 788-795.
70. Detre JA, Alsop DC, Vives LR, et al. Noninvasive MRI evaluation of cerebral blood flow in cerebrovascular disease. Neurology 1998; 50: 633-641.
71. 1-weighted echo-planar imaging. Magn Reson Med 1995; 34: 878-887.
72. Kim SG. Quantification of relative cerebral blood flow change by flow-sensitive alternating inversion recovery (FAIR) technique: application to functional mapping. Magn Reson Med 1995; 34: 293-301.
73. Yen YF, Field AS, Martin EM, et al. Test-retest reproducibility of quantitative CBF measurements using FAIR perfusion MRI and acetazolamide challenge. Magn Reson Med 2002; 47: 921-928.
74. Yang Y, Frank JA, Hou L, et al. Multi-slice imaging of quantitative cerebral perfusion with pulsed arterial spin labeling. Magn Reson Med 1998; 39: 825-832.
75. Figueiredo PM, Clare S, Jezzard P. Quantitative perfusion measurements using pulsed arterial spin labeling: effects of large region-of-interest analysis. J Magn Reson Imaging 2005; 21: 676-682.
76. Hrabe J, Lewis DP. Two analytical solutions for a model of pulsed arterial spin labeling with randomized blood arrival times. J Magn Reson 2004; 167: 49-55.
77. Wong EC, Buxton RB, Frank LR. Quantitative imaging of perfusion using a single subtraction (QUIPSS and QUIPSS II). Magn Reson Med 1998; 39: 702-708.
78. Chalela JA, Alsop DC, Gonzalez-Atavales JB, et al. Magnetic resonance perfusion imaging in acute ischemic stroke using continuous arterial spin labeling. Stroke 2000; 31: 680-687.
79. Yongbi MN, Branch CA, Helpern JA. Perfusion imaging using FOCI RF pulses. Magn Reson Med 1998; 40: 938-943.
80. Sidaros K, Andersen IK, Gesmar H, Rostrup E, Larsson HB. Improved perfusion quantification in FAIR imaging by offset correction. Magn Reson Med 2001; 46: 193-197.
81. Gonzalez-At JB, Alsop DC, Detre JA. Cerebral perfusion and transit time changes during task activation determined with continuous arterial spin labelling. Magn Reson Med 2000; 43: 739-746.
82. Günther M, Bock M, Schad LR. Arterial spin labeling in combination with a look-locker sampling strategy: inflow turbosampling EPI-FAIR (ITSFAIR). Magn Reson Med 2001; 46: 974-984.
83. Francis ST, Bowtell R, Gowland PA. Modeling and optimization of look-locker spin labeling for measuring perfusion and transit time changes in activation studies taking into account arterial blood volume. Magn Reson Med 2008; 59: 316-325.
84. Wang J, Alsop DC, Song HK, et al. Arterial transit time imaging with flow encoding arterial spin tagging (FEAST). Magn Reson Med 2003; 50: 599-607.
85. Edelman RR, Siewert B, Darby DG, et al. Qualitative mapping of cerebral bloodflow and functional localization with echo-planar MR-imaging and signal targeting with alternating radio-frequency. Radiology 2004; 192: 513-520.
86. Calamante F, Williams SR, van Bruggen N, Kwong KK, Turner R. A model for quantification of perfusion in pulsed labelling techniques. NMR Biomed 1996; 8: 79-83.
87. Ye FQ, Mattay VS, Jezzard P, et al. Correction for vascular artifacts in cerebral blood flow values measured by using arterial spin tagging techniques. Magn Reson Med 1997; 37: 226-235.
88. Frank LR, Wong EC, Buxton RB. Slice profile effects in adiabatic inversion: application to multi-slice perfusion imaging. Magn Reson Med 1997; 38: 558-564.
89. Utting JF, Thomas DL, Gadian DG, Ordidge RJ. Velocity-driven adiabatic fast passage for arterial spin labeling: results from a computer model. Magn Reson Med 2003; 49: 398-401.
90. Alsop DC, Detre JA. Multisection cerebral blood flow MR imaging with continuous arterial spin labeling. Radiology 1998; 208: 410-416.
91. Zhang W, Williams DS, Koretsky AP. Measurement of rat brain perfusion by NMR using spin labeling of arterial water: in vivo determination of the degree of spin labeling. Magn Reson Med 1993; 29: 416-421.
92. Garcia DM, de Bazelaire C, Alsop D. Pseudo-continuous flow driven adiabatic inversion for arterial spin labeling. In Proceedings of the 13th Annual Meeting of the International Society of Magnetic Resonance in Medicine, Miami, 2005, p. 37.
93. Wu WC, Fernandez-Seara M, Detre JA, Wehrli FW, Wang J. A theoretical and experimental investigation of the tagging efficiency of pseudocontinuous arterial spin labeling. Magn Reson Med 2007; 58: 1020-1027.
94. Pekar J, Jezzard P, Roberts DA, et al. Perfusion imaging with compensation for asymmetric magnetization transfer effects. Magn Reson Med 1996; 35: 70-79.
95. Mclaughlin AC, Ye FQ, Pekar JJ, Santha AKS, Frank JA. Effect of magnetization transfer on the measurement of cerebral blood flow using steady-state arterial spin tagging approaches: a theoretical investigation. Magn Reson Med 1997; 37: 501-510.
96. Detre JA, Leigh JS, Williams DS, Koretsky AP. Perfusion imaging. Magn Reson Med 1992; 23: 37-45.
97. Williams DS, Detre JA, Leigh JS, Koretsky AP. Magnetic resonance imaging of perfusion using spin inversion of arterial water. Proc Natl Acad Sci USA 1992; 89: 212-216.
98. Barbier EL, Lamalle L, Décorps M. Methodology of brain perfusion imaging. J Magn Reson Imaging 2001; 13: 496-520.
99. Petersen ET, Zimine I, Ho YCL, Golay X. Noninvasive measurement of perfusion: a critical review of arterial spin labelling techniques. Br J Radiol 2006; 9: 688-701.
100. Silva AC, Zhang WG, Williams DS, Koretsky AP. Estimation of water extraction fractions in rat brain using magnetic resonance measurement of perfusion with arterial spin labeling. Magn Reson Med 1997; 37: 58-68.
101. St. Lawrence KS, Frank JA, Mclaughlin AC. Effect of restricted water exchange on cerebral blood flow values calculated with arterial spin tagging: a theoretical investigation. Magn Reson Med 2000; 44: 440-449.
102. Zhou J, Wilson DA, Ulatowski JA, Traystman RJ, van Zijl PC. Two-compartment exchange model for perfusion quantification using arterial spin tagging. J Cereb Blood Flow Metab 2001; 21: 440-455.
103. Parkes LM, Tofts PS. Improved accuracy of human cerebral blood perfusion measurements using arterial spin labeling: accounting for capillary water permeability. Magn Reson Med 2002; 48: 27-41.
104. Carr JP, Buckley DL, Tessier J, Parker GJM. What levels of precision are achievable for quantification of perfusion and capillary permeability surface area product using ASL? Magn Reson Med 2007; 58: 281-289.
105. Yongbi MN, Tan CX, Frank JA, Duyn JH. A protocol for assessing subtraction errors of arterial spin-tagging perfusion techniques in human brain. Magn Reson Med 2000; 43: 896-900.
106. Günther M, Oshio K, Feinberg DA. Single-shot 3D imaging techniques improve arterial spin labeling perfusion measurements. Magn Reson Med 2005; 54: 491-498.
107. Fernandez-Seara MA, Edlow BL, Hoang A, et al. Minimizing acquisition time of arterial spin labeling at 3 T. Magn Reson Med 2008; 59: 1467-1471.
108. Silvennoinen MJ, Kettunen MI, Kauppinen RA. Effects of hematocrit and oxygen saturation level on blood spin-lattice relaxation. Magn Reson Med 2003; 49: 568-571.
109. a) in the mouse using a pulsed arterial spin labeling approach. Magn Reson Med 2006; 55: 943-947.
110. 1 calibration for arterial spin labelling. In Proceedings of the 16th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Toronto, 2008, p. 189.
111. Roberts DA, Rizi R, Lenkinski RE, Leigh JS. Magnetic resonance imaging of the brain: blood partition coefficient for water: application to spin-tagging measurement of perfusion. J Magn Reson Imaging 1996; 6: 363-366.
112. Buxton RB. Quantifying CBF with arterial spin labeling. J Magn Reson Imaging 2005; 22: 723-726.
113. Paiva FF, Tannús A, Silva AC. Measurement of cerebral perfusion territories using arterial spin labelling. NMR Biomed 2007; 20: 633-642.
114. van Laar PJ, van der Grond J, Hendrikse J. Brain perfusion territory imaging: methods and clinical applications of selective arterial spin-labeling MR imaging. Radiology 2008; 246: 354-364.
115. Hendrikse J, van der Grond J, Lu H, van Zijl PC, Golay X. Flow territory mapping of the cerebral arteries with regional perfusion MRI. Stroke 2004; 35: 882-887.
116. Wong EC. Vessel-encoded arterial spin-labeling using pseudocontinuous tagging. Magn Reson Med 2007; 58: 1086-1091.
117. Ye FQ, Frank JA, Weinberger DR, McLaughlin AC. Noise reduction in 3D perfusion imaging by attenuating the static signal in arterial spin tagging (ASSIST). Magn Reson Med 2000; 44: 92-100.