Perfusion-Weighted MR Imaging Studies in Brain Hypervascular Diseases: Comparison of Arterial Input Function Extractions for Perfusion Measurement

References

1. ↵
   Fink GR. Effects of cerebral angiomas on perifocal and remote tissue: a multivariate positron emission tomography study. Stroke 1992;23:1099–105

   Abstract/FREE Full Text
2. Young WL, Pile-Spellman J, Prohovnik I, et al. Evidence for adaptive autoregulatory displacement in hypotensive cortical territories adjacent to AVMs: Columbia University AVS Study Project. Neurosurgery 1994;34:601–11

   PubMedWeb of Science
3. Hacein-Bey L, Nour R, Pile-Spellman J, et al. Adaptive changes of autoregulation in chronic cerebral hypotension with AVMs: an acetazolamide-enhanced single-photon emission CT study. AJNR Am J Neuroradiol 1995;16:1865–74

   Abstract
4. Leblanc E, Meyer E, Zatorre R, et al. Functional PET scanning in the preoperative assessment of cerebral AVMs. Stereotact Funct Neurosurg 1995;65:60–64

   PubMedWeb of Science
5. ↵
   Kader A, Young WL. The effects of intracranial AVMs on cerebral hemodynamics. Neurosurg Clin N Am 1996;7:767–81

   PubMedWeb of Science
6. Charbel FT, Hoffman WE, Misra M, et al. Increased brain tissue oxygenation during AVM resection. Neurol Med Chir (Tokyo) 1998;38(suppl):171–76

   PubMed
7. Meyer B, Schaller C, Frenkel C, et al. Physiological steal around AVSs of the brain is not equivalent to cortical ischemia. Neurol Res 1998;20(suppl 1):S13–17
8. Meyer B, Schaller C, Frenkel C, et al. Distributions of local oxygen saturation and its response to changes of mean arterial blood pressure in the cerebral cortex adjacent to AVMs. Stroke 1999;30:2623–30

   Abstract/FREE Full Text
9. ↵
   Fukuda Y, Murata Y, Umehara I, et al. Perfusion and blood pool scintigraphy for diagnosing soft-tissue AVMs. Clin Nucl Med 1999;24:232–34

   CrossRefPubMed
10. ↵
    Lasjaunias P. Brain arteriovenous malformations. In: Lasjaunias P, Berenstein L, Ter Brugge K. Surgical Neuroangiography. Vol.1 . Heidelberg, Germany: Springer-Verlag;2002 :14–22
11. ↵
    Lassen NA. Cerebral transit of an intravascular tracer may allow measurement of regional blood volume but not regional blood flow. J Cereb Blood Flow Metab 1984;4:633–34

    PubMedWeb of Science
12. Nyberg G, Andersson J, Antoni G, et al. Activation PET scanning in pretreatment evaluation of patients with cerebral tumours or vascular lesions in or close to the sensorimotor cortex. Acta Neurochir (Wien) 1996;138:684–94

    CrossRefPubMed
13. ↵
    Schmidt KC, Turkheimer FE. Kinetic modeling in positron emission tomography. Q J Nucl Med 2002;46:70–85

    PubMed
14. ↵
    Neumann-Haefelin T, Wittsack HJ, Wenserski F, et al. Diffusion- and perfusion-weighted MRI: The DWI/PWI mismatch region in acute stroke. Stroke 1999;30:1591–97

    Abstract/FREE Full Text
15. ↵
    Knopp EA, Cha S, Johnson G, et al. Glial neoplasm: dynamic contrast-enhanced T2*-weighted MR imaging. Radiology 1999;211:791–98

    CrossRefPubMedWeb of Science
16. ↵
    Meier P, Zierler LL. On the theory of the indicator-dilution method for measurement of blood flow and volume. J Appl Physiol 1954;6:731–44

    FREE Full Text
17. ↵
    Ostergaard L, Weisskoff RM, Chesler DA, et al. High-resolution measurement of cerebral blood flow using intravascular bolus passages. Part I. Mathematical approach and statistical analysis. Magn Res Med 1996;36:715–25

    CrossRefPubMedWeb of Science
18. ↵
    Sakaki T, Tsujimoto S, Nishitani M, et al. Perfusion pressure breakthrough threshold of cerebral autoregulation in the chronically ischemic brain: an experimental study in cats. J Neurosurg 1992;76:478—85

    PubMedWeb of Science
19. ↵
    Ducreux D, Lasjaunias P, Meder JF, et al. MR perfusion imaging findings in proliferative angiopathies. Neuroradiology 2004;46:105–12

    CrossRefPubMedWeb of Science
20. ↵
    Hoppin JW, Kupinski MA, Kastis GA, et al. Objective comparison of quantitative imaging modalities without the use of a gold standard. IEEE Trans Med Imaging 2002;21:441–49

    PubMed
21. ↵
    Kupinski MA, Hoppin JW, Clarkson E, et al. Estimation in medical imaging without a gold standard. Acad Radiol 2002;9:290–97

    CrossRefPubMed
22. ↵
    Villringer A, Rosen BR, Belliveau JW, et al. Dynamic imaging with lanthanide chelates in normal brain: contrast due to magnetic susceptibility effect. Magn Res Med 1988;6:164–74

    CrossRefPubMedWeb of Science
23. ↵
    Boxerman JL, Hamberg LM, Rosen BR, et al. MR contrast due to intravascular magnetic susceptibility perturbations. Magn Res Med 1995;34:555–66

    CrossRefPubMedWeb of Science
24. ↵
    Kennan RP, Zhong J, Gore JC. Intravascular susceptibility contrast mechanism in tissues. Magn Res Med 1994;31:9–21

    PubMedWeb of Science
25. ↵
    Smith AM, Grandin CB, Duprez T, et al. Whole-brain quantitative CBF, CBV, and MTT measurements using MRI bolus-tracking: implementation and application to data acquired from hyperacute stroke patients. J Magn Reson Imaging 2000;12:400–10

    CrossRefPubMedWeb of Science
26. ↵
    Weisskoff RM, Zuo CS, Boxerman JL, et al. Microscopic susceptibility variation and transverse relaxation: theory and experiment. Magn Res Med 1994;31:601–10

    PubMedWeb of Science
27. ↵
    Lassen NA, Perl W. Tracer Kinetic Methods in Medical Physiology. New York: Raven;1979 :156–75
28. Fisel CR, Ackerman JL, Buxton RB, et al. MR contrast due to microscopically heterogeneous magnetic susceptibility: numerical simulations and applications to cerebral physiology. Magn Res Med 1991;17:336–47

    PubMedWeb of Science
29. ↵
    Rosen BR, Belliveau JW, Buchbinder BR, et al. Contrast agent and cerebral hemodynamics. Magn Res Med 1991;19:285–92

    PubMedWeb of Science
30. ↵
    Kiselev VG. On the theoretical basis of perfusion measurements by dynamic susceptibility contrast MRI. Magn Reson Med. 2001;46:1113–22

    CrossRefPubMedWeb of Science
31. ↵
    Grandin CB, Smith AM, Cosnard G. Quantification of brain perfusion with bolus-tracking MR imaging: comparison of gradient-echo and spin-echo sequences. ESMRMB. Sevilla 1999;MAGMA 1999;8(suppl 1) ;32
32. ↵
    Marquart DW. An algorithm for least squares estimation of non-linear parameters. J Soc Industr Appl Math 1963;11:431–41

    CrossRef
33. ↵
    Starmer CF, Clarck DO. Computer computations of cardiac output using the gamma-function. J Appl Physiol 1970;28:219–20

    FREE Full Text
34. ↵
    Rempp KA, Brix B, Wenz F, et al. Quantification of regional cerebral blood flow and volume with dynamic susceptibility contrast-enhanced MR imaging. Radiology 1994;193:637–41

    PubMedWeb of Science
35. ↵
    Smith AM, Grandin CB, Duprez T, et al. Whole-brain quantitative CBF and CBV measurements using MRI bolus tracking: comparison of methodologies. Magn Reson Med 2000;43:559–64

    CrossRefPubMed
36. Axel L. Cerebral blood flow determination by rapid-sequence computed tomography. Radiology 1980;137:679–86

    PubMedWeb of Science
37. Calamante F, Thomas DL, Pell GS, et al. Measuring cerebral blood flow using magnetic resonance techniques. J Cereb Blood Flow Metab 1999;19:701–35

    CrossRefPubMedWeb of Science
38. Wirestam R, Andersson L, Ostergaard L, et al. Measurements of rCBF using dynamic susceptibility contrast MRI: comparison of different deconvolution techniques and different locations of the arterial input function: Proceedings of the ISMRM, Philadelphia, Proliferative Angiopathies. 605, May 1999
39. ↵
    Wirestam R, Andersson L, Ostergaard L, et al. Assessment of regional cerebral blood flow by dynamic susceptibility contrast MRI using different deconvolution techniques. Magn Reson Med 2000;43:691–700

    CrossRefPubMedWeb of Science
40. ↵
    Willinsky R, Terbrugge K, Montanera W, et al. Venous congestion: an MR finding in dural AVMs with cortical venous drainage. AJNR Am J Neuroradiol 1994;15:1501–07

    Abstract/FREE Full Text
41. Mast H, Mohr JP, Osipov A, et al. “Steal” is an unestablished mechanism for the clinical presentation of cerebral AVMs. Stroke 1995;26:1215–20

    Abstract/FREE Full Text
42. Gao E, Young WL, Ornstein E, et al. A theoretical model of cerebral hemodynamics: application to the study of AVMs. J Cereb Blood Flow Metab 1997;17:905–18

    PubMedWeb of Science
43. ↵
    Hagen T, Bartylla K, Piepgras U. Correlation of regional cerebral blood flow measured by stable xenon CT and perfusion MRI. J Comp Assist Tomogr 1999;23:257–64

    CrossRefPubMed
44. ↵
    Rausch M, Scheffler K, Rudin M, et al. Analysis of input functions from different arterial branches with gamma variate functions and cluster analysis for quantitative blood volume measurements. Magn Reson Imaging 2000;18:1235–43

    CrossRefPubMed
45. ↵
    Murase K, Kikuchi K, Mike H, et al. Determination of arterial input function using fuzzy clustering for quantification of cerebral blood flow with dynamic susceptibility contrast-enhanced MR imaging. J Magn Reson Imaging 2001;13:797–806

    CrossRefPubMed
46. ↵
    Van Osch MJ, Vonken EP, Bakker CJ, et al. Correcting partial volume artifacts of the arterial input function in quantitative cerebral perfusion MRI. Magn Reson Med 2001;45:477–85

    CrossRefPubMedWeb of Science
47. ↵
    Ellinger R, Kremser C, Schocke MF, 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;24:942–48

    CrossRefPubMedWeb of Science