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Whole brain quantitative CBF, CBV, and MTT measurements using MRI bolus tracking: implementation and application to data acquired from hyperacute stroke patients.

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Smith, A M Grandin, Cécile [UCL] Duprez, Thierry [UCL] Mataigne, F Cosnard, Guy [UCL]

A robust whole brain magnetic resonance (MR) bolus tracking technique based on indicator dilution theory, which could quantitatively calculate cerebral blood flow (CBF), cerebral blood volume (CBV), and mean transit time (MTT) on a regional basis, was developed and tested. T2*-weighted gradient-echo echoplanar imaging (EPI) volumes were acquired on 40 hyperacute stroke patients after gadolinium diethylene triamine pentaacetic acid (Gd-DTPA) bolus injection. The thalamus, white matter (WM), infarcted area, penumbra, and mirror infarcted and penumbra regions were analyzed. The calculation of the arterial input function (AIF) needed for absolute quantification of CBF, CBV, and MTT was shown to be user independent. The CBF values (ml/min/100 g units) and CBV values (% units, in parentheses) for the thalamus, WM, infarct, mirror infarct, penumbra, and mirror penumbra (averaged over all patients) were 69.8 +/- 22.2 (9.0 +/- 3.0 SD); 28.1 +/- 6.9 (3.9 +/- 1.2); 34.4 +/- 22.4 (7.1 +/- 2.7); 60.3 +/- 20.7 (8.2 +/- 2.3); 50.2 +/- 17.5 (10.4 +/- 2.4); and 64.2 +/- 17.0 (9.5 +/- 2.3), respectively, and the corresponding MTT values (in seconds) were 8.0 +/- 2.1; 8.6 +/- 3.0; 16.1 +/- 8.9; 8.6 +/- 2.9; 13.3 +/- 3.5; and 9.4 +/- 3.2. The infarct and penumbra CBV values were not significantly different from their corresponding mirror values, whereas the CBF and MTT values were (P < 0.01). Quantitative measurements of CBF, CBV, and MTT were calculated on a regional basis on data acquired from hyperacute stroke patients, and the CBF and MTT values showed greater sensitivity to areas with perfusion defects than the CBV values. J. Magn. Reson. Imaging 2000;12:400-410.

  1. 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., 10.1148/radiology.193.3.7972800
  2. Østergaard Leif, Smith Donald F., Vestergaard-Poulsen Peter, Hansen SørenB., Gee Antony D., Gjedde Albert, Gyldensted Carsten, Absolute Cerebral Blood Flow and Blood Volume Measured by Magnetic Resonance Imaging Bolus Tracking: Comparison with Positron Emission Tomography Values, 10.1097/00004647-199804000-00011
  3. Hagen Thomas, Bartylla Klaus, Piepgras Uwe, Correlation of Regional Cerebral Blood Flow Measured by Stable Xenon CT and Perfusion MRI : , 10.1097/00004728-199903000-00015
  4. Petrella, AJNR, 18, 1153 (1997)
  5. Meier, J Appl Physiol, 6, 731 (1954)
  6. Zierler K. L., Theoretical Basis of Indicator-Dilution Methods For Measuring Flow and Volume, 10.1161/01.res.10.3.393
  7. Axel L, Cerebral blood flow determination by rapid-sequence computed tomography: theoretical analysis., 10.1148/radiology.137.3.7003648
  8. Rosen Bruce R., Belliveau John W., Buchbinder Bradley R., McKinstry Robert C., Porkka Leena M., Kennedy David N., Neuder Michelle S., Fisel C. Richard, Aronen Hannu J., Kwong Kenneth K., Weisskoff Robert M., Cohen Mark S., Brady Thomas J., Contrast agents and cerebral hemodynamics, 10.1002/mrm.1910190216
  9. Moseley Michael E., Vexler Zena, Asgari Haleh S., Mintorovitch Jan, Derugin Nikita, Rocklage Scott, Kucharczyk John, Comparison of Gd- and Dy-chelates for T2* Contrast-Enhanced Imaging, 10.1002/mrm.1910220220
  10. Fisel C. Richard, Ackerman Jerome L., Buxton Richard B., Garrido Leoncio, Belliveau John W., Rosen Bruce R., Brady Thomas J., MR Contrast Due to Microscopically Heterogeneous Magnetic Susceptibility: Numerical Simulations and Applications to Cerebral Physiology, 10.1002/mrm.1910170206
  11. Kennan Richard P., Zhong Jianhui, Gore John C., Intravascular susceptibility contrast mechanisms in tissues, 10.1002/mrm.1910310103
  12. Editors note, 10.1007/bf02590629
  13. Weisskoff Robert, Zuo Chun S., Boxerman Jerrold L., Rosen Bruce R., Microscopic susceptibility variation and transverse relaxation: Theory and experiment, 10.1002/mrm.1910310605
  14. In: Tracer kinetic methods in medical physiology. New York, NY: Raven Press; 1979.
  15. In: Numerical recipes in C. The art of scientific computing, 2nd ed. Cambridge: Oxford: Cambridge University Press; 1992.
  16. Marquardt Donald W., An Algorithm for Least-Squares Estimation of Nonlinear Parameters, 10.1137/0111030
  17. Cosnard G., Duprez T., Grandin C., Smith A. M., Munier T., Peeters A., Fast FLAIR sequence for detecting major vascular abnormalities during the hyperacute phase of stroke: a comparison with MR angiography, 10.1007/s002340050761
  18. Ostuni John L., Levin Ronald L., Frank Joseph A., DeCarli Charles, Correspondence of closest gradient Voxels—A robust registration algorithm, 10.1002/jmri.1880070227
  19. Boxerman Jerrold L., Rosen Bruce R., Weisskoff Robert M., Signal-to-noise analysis of cerebral blood volume maps from dynamic NMR imaging studies, 10.1002/jmri.1880070313
  20. Cosnard, J Radiol, 81 (2000)
  21. Liu Guoying, Sobering Geoffrey, Duyn Jeff, Moonen Chrit T. W., A. functional MRI technique combining principles of echo-shifting with a train of observations (PRESTO), 10.1002/mrm.1910300617
  22. Powers W. J., Raichle M. E., Positron emission tomography and its application to the study of cerebrovascular disease in man, 10.1161/01.str.16.3.361
  23. Baron J.C., Pathophysiology of Acute Cerebral Ischemia: PET Studies in Humans, 10.1159/000108877
  24. Kim, AJNR, 20, 613 (1999)
  25. Hamberg L. M., Macfarlane R., Tasdemiroglu E., Boccalini P., Hunter G. J., Belliveau J. W., Moskowitz M. A., Rosen B. R., Measurement of cerebrovascular changes in cats after transient ischemia using dynamic magnetic resonance imaging, 10.1161/01.str.24.3.444
  26. Maeda M, Itoh S, Ide H, Matsuda T, Kobayashi H, Kubota T, Ishii Y, Acute stroke in cats: comparison of dynamic susceptibility-contrast MR imaging with T2- and diffusion-weighted MR imaging., 10.1148/radiology.189.1.8372198
  27. Østergaard Leif, Sorensen Alma Gregory, Kwong Kenneth K., Weisskoff Robert M., Gyldensted Carsten, Rosen Bruce R., High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part II: Experimental comparison and preliminary results, 10.1002/mrm.1910360511
  28. Ye Frank Q., Mattay Venkata S., Jezzard Peter, Frank Joseph A., Weinberger Daniel R., McLaughlin Alan C., Correction for vascular artifacts in cerebral blood flow values measured by using arterial spin tagging techniques, 10.1002/mrm.1910370215
  29. Yang Yihong, Frank Joseph A., Hou Lei, Ye Frank Q., McLaughlin Alan C., Duyn Jeff H., Multislice imaging of quantitative cerebral perfusion with pulsed arterial spin labeling, 10.1002/mrm.1910390520
  30. Frackowiak Richard S. J., Lenzi Gian-Luigi, Jones Terry, Heather Jon D., Quantitative Measurement of Regional Cerebral Blood Flow and Oxygen Metabolism in Man Using 15O and Positron Emission Tomography : Theory, Procedure, and Normal Values, 10.1097/00004728-198012000-00001
  31. Greenberg J. H., Alavi A., Reivich M., Kuhl D., Uzzell B., Local cerebral blood volume response to carbon dioxide in man, 10.1161/01.res.43.2.324
  32. LEENDERS K. L., PERANI D., LAMMERTSMA A. A., HEATHER J. D., BUCKINGHAM P., JONES T., HEALY M. J. R., GIBBS J. M., WISE R. J. S., HATAZAWA J., HEROLD S., BEANEY R. P., BROOKS D. J., SPINKS T., RHODES C., FRACKOWIAK R. S. J., CEREBRAL BLOOD FLOW, BLOOD VOLUME AND OXYGEN UTILIZATION : NORMAL VALUES AND EFFECT OF AGE, 10.1093/brain/113.1.27
  33. Hamberg, AJNR, 17, 1861 (1996)
Bibliographic reference Smith, A M ; Grandin, Cécile ; Duprez, Thierry ; Mataigne, F ; Cosnard, Guy. Whole brain quantitative CBF, CBV, and MTT measurements using MRI bolus tracking: implementation and application to data acquired from hyperacute stroke patients.. In: Journal of magnetic resonance imaging : JMRI, Vol. 12, no. 3, p. 400-10 (2000)
Permanent URL http://hdl.handle.net/2078.1/8635