Cerebral perfusion: Dynamic suceptibility contrast MR imaging. Part 2: Vascular models and data extraction;Perfusion cérébrale: IRM dynamique de contraste de susceptibilité magnétique. Partie II: Modélisation vasculaire et méthodes d'extraction des données

Medecine Nucleaire

Volumn 28, Issue 1, 2004, Pages 35-48

  De Marco, G ^a   Dassonvalle, P ^b   Henry Feugeas, M C ^c   Onen, F ^c   Idy Peretti, I ^d,e  

^a UNIVERSITÉ DE PICARDIE JULES VERNE   (France)

^b Ecl Sup Ingenieurs Electrotechn   (France)

^c BICHAT HOSPITAL   (France)

^d UNIVERSITÉ DE TECHNOLOGIE DE COMPIÈGNE   (France)

^e HÔPITAL LARIBOISIÈRE   (France)

Author keywords

Blood flow; Cerebral perfusion DSC MR imaging; Deconvolution; Tracer; Vascular models

Indexed keywords

TRACER;

BRAIN BLOOD FLOW; BRAIN PERFUSION; CALCULATION; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DILUTION; DRUG TISSUE LEVEL; HEMODYNAMICS; HUMAN; KINETICS; MATHEMATICAL ANALYSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PARAMETER; QUANTITATIVE ANALYSIS; REVIEW; SAFETY; TIME;

EID: 1542514993     PISSN: 09281258     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (43)

1. 15O: Implementation and validation. J Nucl Med 1983; 24: 790-798.
2. Barbier E., Lamalle L., Décorps M. Methodology of brain perfusion imaging. J Magn Reson Imaging 2001; 13 (4): 496-520.
3. De Marco G., Idy-Peretti I., Tropres I., Franconi J.M., Henry-feugeas M.C. Perfusion cérébrale: IRM dynamique de contraste de susceptibilité magnétique. Partie I: principe et théorie. Médecine Nucléaire - Imagerie fonctionnelle et métabolique 2003; 27 (10): 547-556.
4. Kety S.S. Observations on the validity of a two compartmental model of the cerebral circulation. Acta Neurol Scand Suppl 1965; 14: 85-87.
5. Kety S.S. The measurement of cerebral blood flow by means of inert diffusible tracers. Keio J Med 1994; 43 (1): 9-14.
6. Kety S.S. Regional cerebral blood flow: estimation by means of nonmetabolized diffusible tracers-an overview. Semin Nucl Med 1985; 15 (4): 324-328.
7. Bassingthwaighte J.B., Chan I.S.J., Wang C.Y. Computationally efficient aglorithms for convection-permeation-diffusion models for blood-tissue exchange. Annals of Biomedical Engineering 1992; 20: 687-725.
8. Bassingthwaighte J.B. A concurrent flow model for extraction during transcapillary passage. Circ Res 1974; 35: 483-503.
9. Lassen N.A., Andersen A.R., Friberg L., Paulson O.B. The retention of (99m)Tc-d, 1-HM-PAO in the human brain after intracarotid bolus injection: a kinetic analysis. J Cereb Blood Flow Metab 1988; 8 (1): 13-22.
10. Stewart G.N. Researches on the circulation time in organs and on the influences wich affect it. Parts I-III. J Physiol 1894; 15 (1).
11. Hamilton W.F., Moore J.W., Kinsman J.M., Spurling R.G. Am J Physiol 1932; 99 (534).
12. Meier P., Zierler K.L. Journal of applied physiology 1954; 6 - numéro 12: 731-744.
13. Zierler K.L. Theoretical basis of indicator-dilution methods for measuring flow and volume. Circ Res 1962; 10: 393-407.
14. Axel L. Cerebral blood flow determination by rapid-sequence computed tomography. Radiology 1980; 137: 679-686.
15. Zierler K.L. Equations for measuring blood flow by external monitoring of radioisotopes. Circ Res 1965; 16: 309-321.
16. Weisskoff R.M., Chesler D., Boxerman J.L., Rosen B.R. Pitfalls in M.R. measurement of tissue blood flow with intravascular tracers: which mean transit time? Magn Reson Med 1993; 29: 553-559.
17. Smith A., Grandin C.B., Duprez T., Mataigne F., Cosnard G. Whole brain quantitative CBF, CBV and MTT measurements using MRI bolus tracking: implementation ang application to date acquired from hyperacute stroke patients. J Magn Reson Imaging 2000; 12: 400-410.
18. Perthen J.E., Calamante F., Gadian D.G., Connelly A. Is Quantification of Bolus Tracking MRI Reliable Without Deconvolution? Magn Reson Med 2002; 47: 61-67.
19. Yamaha K., Wu O., Gonzalez R.G., Bakker D., Ostergaard L., Copen W.A., Weisskoff R.M., Rosen B.R., Yagi K., Nishimura T., Sorensen G. Magnetic resonance perfusion-weight imaging of acute cerebral infarction - Effect of the calculation methods and underlying vasculopathy. Stroke 2002; 87-94.
20. Perkio J., Aronen H.J., Kangasmaki A., Liu F., Karonen J., Savolainen S., Ostergaard L. Evaluation of four post-processing method for determination of cerebral blood volume and mean transit time by dynamic susceptibility contrast imaging. Magn Reson Med 2002; 47: 973-981.
21. Kolbitsch C., Lorenz I.H., Hormann C., Schocke M., Kremser C., Zschiegner F., Felber S., Benzer A. The impact of increased mean airway pressure on contrast-enhanced MRI measurement of regional cerebral blood flow (rCBF), regional cerebral blood volume (rCBV), regional mean transit time (rMTT), and regional cerebrovascular resistance (rCVR) in human volunteers. Human Brain Mapping 2000; 11 (3): 214-222.
22. Grandin C.B., Duprez T.P., Smith A.M., Oppenheim C., Peeters A., Robert A.R., Cosnard G. Which MR-derived perfusion parameters are the best predictors of infarct growth in hyperacute stroke? Comparative study between relative and quantitative measurements. Radiology 2002; 223 (2): 361-370.
23. Cha S., Lu S., Johnson G., Knopp E. Dynamic susceptibility contrast MR Imaging: correlation of signal intensity changes with cerebral blood volume measurements. J Magn Reson Imaging 2000; 11: 114-119.
24. Dousset V., Allard M., Dumont E., Caille J.M. Nouveautés technologiques IRM en neuroradiologie. Cours de perfectionnement post - universitaire - Société française de Radiologie 1999; Paris.
25. Ostergaard L., Weisskoff R.M., Chesler D.A., Gyldensted C., Rosen B.R. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: mathmatical approach and statistical analysis. Magn Reson Med 1996; 36: 715-725.
26. Ostergaard L., Sorensen A.G., Kwong K.K., Weisskoff R.M., Gyldensted C., Rosen B.R. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part II: experimental comparison and preliminary results. Magn Reson Med 1996; 36: 726-736.
27. Wirestam R., Stahlberg F. Improved deconvolution by wavelet-based denoising for assessment of CBF using dynamic susceptibility contrast MRI. ESMRMB 2002; 37: 12.
28. Vonken E.J., Matthias J.P., Van Osch C., Bakker J.G., Viergever M.A. Measurement of cerebral perfusion with dual-echo multi-slice quantitative dynamic susceptibility contrast MRI. J Magn Reson Imaging 1999; 10: 109-117.
29. Axel L. Methods using blood pool tracers. In: Le Bihan D., editor. Diffusion and perfusion magnetic resonance imagng. New york: Raven Press 1995; 205-211.
30. Jacquez J.A. Compartmental analysis in biology and medicine. In: Le Bihan D., editor. Diffusion and perfusion magnetic resonance imagng. New-York: Raven Press 1972; 205-211.
31. Neyran B., Janier M.F., Casali C., Revel D., Canet Soulas E.P. Mapping myocardial perfusion with an intravascular MR contrast agent: robustness of deconvolution methods at various blood flows. Magn Reson Med 2002; 48: 166-179.
32. Jerosch-Herold M., Swingen C., Seethamraju R.T. Myocardial blood flow quantification with MRY by moedl independent deconvolution. Med Phys 2002; 29: 886-897.
33. Gobbel G.T., Fike J.R. A deconvolution method for evaluating indicator-dilution curves. Phys Med Biol 1994; 39: 1833-1854.
34. Rempp K.A., Brix G., Wenz F., Becker C.R., Gückel F., Lorenz W.J. Quantification of regional cerebral blood flow and volume with dynamic susceptibility contrast-enhanced MR imaging. Radiology 1994; 193: 637-641.
35. Jones D.K., Lythgoe D., Horsfield M.A., Simmons A., Williams S.C.R., Markus H.S. Characterization of white matter damage in ischemic leukoaraiosis with diffusion tensor MRI Stroke 1999; 30: 393-397.
36. Lythgoe D.J., Ostergaard L., Williams S.C.R., Cluckie A., Buxton-Thomas M., Simmons A., Markus H.S. Quantitative perfusion imaging in carotid artery stenosis using dynamic susceptibility contrast-enhanced magnetic resonance imaging. Magn Reson Imaging 2000; 18: 1-11.
37. Ben Taarit I., de Marco G., Onen F., Henry-Feugeas M.C., Meyer M.E., Idy-Peretti I. Dynamic Susceptibility Contrast M.R. Imaging in Patients with Mild Cognitive Impairment and White Matter Abnormalities Preliminary Results. ESMRMB 2002.
38. Mandeville J.B., Marota J.J., Kosofsky B.E., Keltner J.R., Weissleder R., Rosen B.R., Weisskoff R.M. Dynamic functional imaging of relative cerebral blood volume during rat forepaw stimulation. Magn Reson Med 1998; 39: 615-624.
39. 2 on cerebral blood volume, blood flow, and vascular mean transit time. Stroke 1974; 5: 630-639.
40. Kluytmans M., Grond J., Viergever M. Gray matter and white matter perfusion imaging in patients with severe carotid artery lesions. Radiology 1998; 209: 675-682.
41. Calamante F., Gadian D.G., Connelly A. Quantification of perfusion using bolus tracking magnetic resonance imaging in stroke. Stroke 2002; 33: 1146-1151.
42. Calamante F., Yim P.J., Cebral J.R. Estimation of bolus dispersion effects in perfusion MRI using image-based computational fluid dynamics. Neuroimage 2003; 19: 341-353.
43. Ito H., Kanno I., Takahashi K., Ibaraki M., Miura S. Regional distribution of human cerebral vascular mean transit time measured by positron emission tomography. Neuroimage 2003; 19: 1163-1169.