Table of Contents Author Guidelines Submit a Manuscript
International Journal of Biomedical Imaging
Volume 2006 (2006), Article ID 20164, 11 pages
http://dx.doi.org/10.1155/IJBI/2006/20164

The Application of Diffusion- and Perfusion-Weighted Magnetic Resonance Imaging in the Diagnosis and Therapy of Acute Cerebral Infarction

1Institute of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
2Associated Laboratory, Beijing Tiantan Hospital, Beijing 100050, China
3Medical Image Processing Group, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing 100080, China
4Department of Neurology, Shougang Hospital, Beijing University, Beijing 100041, China

Received 4 January 2006; Revised 2 July 2006; Accepted 18 July 2006

Academic Editor: Lizhi Sun

Copyright © 2006 Ying Han et al. 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. A. M. Smith, C. B. Grandin, T. Duprez, F. Mataigne, and G. Cosnard, “Whole brain quantitative CBF and CBV measurements using MRI bolus tracking: comparison of methodologies,” Magnetic Resonance in Medicine, vol. 43, no. 4, pp. 559–564, 2000. View at Publisher · View at Google Scholar
  2. A. M. Smith, C. B. Grandin, T. Duprez, F. Mataigne, and G. Cosnard, “Whole brain quantitative CBF, CBV, and MTT measurements using MRI bolus tracking: implementation and application to data acquired from hyperacute stroke patients,” Journal of Magnetic Resonance Imaging, vol. 12, no. 3, pp. 400–410, 2000. View at Publisher · View at Google Scholar
  3. C. B. Grandin, T. P. Duprez, A. M. Smith et al., “Which MR-derived perfusion parameters are the best predictors of infarct growth in hyperacute stroke? Comparative study between relative and quantitative measurements,” Radiology, vol. 223, no. 2, pp. 361–370, 2002. View at Publisher · View at Google Scholar
  4. C. B. Grandin, T. P. Duprez, A. M. Smith et al., “Usefulness of magnetic resonance-derived quantitative measurements of cerebral blood flow and volume in prediction of infarct growth in hyperacute stroke,” Stroke, vol. 32, no. 5, pp. 1147–1153, 2001. View at Google Scholar
  5. S. E. Rose, J. B. Chalk, M. P. Griffin et al., “MRI based diffusion and perfusion predictive model to estimate stroke evolution,” Magnetic Resonance Imaging, vol. 19, no. 8, pp. 1043–1053, 2001. View at Publisher · View at Google Scholar
  6. E. O. Stejskal and J. E. Tanner, “Spin diffusion measurements: spin echoes in the presence of a time-dependent field gradient,” The Journal of Chemical Physics, vol. 42, no. 1, pp. 288–292, 1965. View at Publisher · View at Google Scholar
  7. A. M. Smith, C. B. Grandin, T. Duprez, F. Mataigne, and G. Cosnard, “Whole brain quantitative CBF, CBV, and MTT measurements using MRI bolus tracking: implementation and application to data acquired from hyperacute stroke patients,” Journal of Magnetic Resonance Imaging, vol. 12, no. 3, pp. 400–410, 2000. View at Publisher · View at Google Scholar
  8. T. Hagen, K. Bartylla, and U. Piepgras, “Correlation of regional cerebral blood flow measured by stable xenon CT and perfusion MRI,” Journal of Computer Assisted Tomography, vol. 23, no. 2, pp. 257–264, 1999. View at Publisher · View at Google Scholar
  9. J. R. Petrella, C. DeCarli, M. Dagli et al., “Assessment of whole-brain vasodilatory capacity with acetazolamide challenge at 1.5 T using dynamic contrast imaging with frequency-shifted burst,” American Journal of Neuroradiology, vol. 18, no. 6, pp. 1153–1161, 1997. View at Google Scholar
  10. D. W. Marquart, “An algorithm for least squares estimation of nonlinear parameters,” Journal of the Society of Industrial and Applied Mathematics, vol. 11, no. 2, pp. 431–441, 1963. View at Publisher · View at Google Scholar
  11. J. C. Rajapakse, J. N. Giedd, and J. L. Rapoport, “Statistical approach to segmentation of single-channel cerebral MR images,” IEEE Transactions on Medical Imaging, vol. 16, no. 2, pp. 176–186, 1997. View at Publisher · View at Google Scholar
  12. J. A. Schnabel and S. R. Arridge, “Multiscale shape description of MR brain images using active contour models,” in Medical Imaging 1996: Image Processing, vol. 2710 of Proceedings of SPIE, pp. 596–606, Newport Beach, Calif, USA, February 1996.
  13. O. D. Escoda, A. Petrovic, and P. Vandergheynst, “Segmentation of natural images using scale-space representations: a linear and a non-linear approach,” in Proceedings of 11th European Signal Processing Conference (EUSIPCO '02), vol. 3, pp. 481–484, Toulouse, France, September 2002.
  14. P. Perona and J. Malik, “Scale-space and edge detection using anisotropic diffusion,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 7, pp. 629–639, 1990. View at Publisher · View at Google Scholar
  15. J. Canny, “Computational approach to edge detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 8, no. 6, pp. 679–698, 1986. View at Google Scholar
  16. J. F. Arenillas, Á. Rovira, C. A. Molina, E. Grivé, J. Montaner, and J. Álvarez-Sabín, “Prediction of early neurological deterioration using diffusion- and perfusion-weighted imaging in hyperacute middle cerebral artery ischemic stroke,” Stroke, vol. 33, no. 9, pp. 2197–2203, 2002. View at Publisher · View at Google Scholar
  17. D. Le Bihan, E. Breton, D. Lallemand, M.-L. Aubin, J. Vignaud, and M. Laval-Jeantet, “Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging,” Radiology, vol. 168, no. 2, pp. 497–505, 1988. View at Google Scholar
  18. S. K. Mukherji, T. L. Chenevert, and M. Castillo, “Diffusion-weighted magnetic resonance imaging,” Journal of Neuro-Ophthalmology, vol. 22, no. 2, pp. 118–122, 2002. View at Publisher · View at Google Scholar
  19. W. Lin, J.-M. Lee, Y. Z. Lee, K. D. Vo, T. Pilgram, and C. Y. Hsu, “Temporal relationship between apparent diffusion coefficient and absolute measurements of cerebral blood flow in acute stroke patients,” Stroke, vol. 34, no. 1, pp. 64–70, 2003. View at Publisher · View at Google Scholar
  20. F. Ahlhelm, G. Schneider, M. Backens, W. Reith, and T. Hagen, “Time course of the apparent diffusion coefficient after cerebral infarction,” European Radiology, vol. 12, no. 9, pp. 2322–2329, 2002. View at Google Scholar
  21. S. Pedraza, T. Osuna, A. Dávalos, J. Teruel, J. Vera-Sancho, and L. Inaraja, “False negative diffusion in acute ischemic stroke,” Revista de Neurologia, vol. 34, no. 12, pp. 1127–1129, 2002. View at Google Scholar
  22. W. Küker, J. Weise, H. Krapf, F. Schmidt, S. Friese, and M. Bähr, “MRI characteristics of acute and subacute brainstem and thalamic infarctions: value of T2- and diffusion-weighted sequences,” Journal of Neurology, vol. 249, no. 1, pp. 33–42, 2002. View at Google Scholar
  23. P. A. Ringleb, P. D. Schellinger, C. Schranz, and W. Hacke, “Thrombolytic therapy within 3 to 6 hours after onset of ischemic stroke: useful or harmful?” Stroke, vol. 33, no. 5, pp. 1437–1441, 2002. View at Publisher · View at Google Scholar
  24. M. Uno, M. Harada, K. Yoneda, S. Matsubara, K. Satoh, and S. Nagahiro, “Can diffusion- and perfusion-weighted magnetic resonance imaging evaluate the efficacy of acute thrombolysis in patients with internal carotid artery or middle cerebral artery occlusion?” Neurosurgery, vol. 50, no. 1, pp. 28–35, 2002. View at Publisher · View at Google Scholar
  25. H. J. Aronen, I. E. Gazit, D. N. Louis et al., “Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings,” Radiology, vol. 191, no. 1, pp. 41–51, 1994. View at Google Scholar
  26. T. M. Ernst, L. Chang, M. D. Witt et al., “Cerebral toxoplasmosis and lymphoma in AIDS: perfusion MR imaging experience in 13 patients,” Radiology, vol. 208, no. 3, pp. 663–669, 1998. View at Google Scholar
  27. G. W. Albers, “Expanding the window for thrombolytic therapy in acute stroke: the potential role of acute MRI for patient selection,” Stroke, vol. 30, no. 10, pp. 2230–2237, 1999. View at Google Scholar
  28. J. Röther, P. D. Schellinger, A. Gass et al., “Effect of intravenous thrombolysis on MRI parameters and functional outcome in acute stroke <6 hours,” Stroke, vol. 33, no. 10, pp. 2438–2445, 2002. View at Publisher · View at Google Scholar
  29. Q. Jiang, R. L. Zhang, Z. G. Zhang et al., “Magnetic resonance imaging indexes of therapeutic efficacy of recombinant tissue plasminogen activator treatment of rat at 1 and 4 hours after embolic stroke,” Journal of Cerebral Blood Flow and Metabolism, vol. 20, no. 1, pp. 21–27, 2000. View at Publisher · View at Google Scholar
  30. H. Ay, J. Oliveira-Filho, F. S. Buonanno et al., “‘Footprints’ of transient ischemic attacks: a diffusion-weighted MRI study,” Cerebrovascular Diseases, vol. 14, no. 3-4, pp. 177–186, 2002. View at Publisher · View at Google Scholar