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Validity of MRI brain perfusion imaging method

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Brain perfusion imaging using Dynamic Susceptibility Contrast Magnetic Resonance Imaging is very promising method since it can be easily implemented as a standard contrast-based MRI procedure. Quantitative brain perfusion description by DSC-MRI data post processing requires validation. Different validation analysis was performed to verify the influence of a bolus dispersion, delay, low SNR and calculation procedures on final perfusion parameter values. The results indicate that quantitative description of brain perfusion using DSC-MRI is possible and can be acceptable with accuracy about 10%.
Rocznik
Tom
Strony
55--61
Opis fizyczny
Bibliogr. 6 poz., fig., tab.
Twórcy
  • Department of Biomedical Engineering, Gdansk University of Technology
autor
Bibliografia
  • [1] CAI W., FENG D. D., FULTON R., Content based retrieval of dynamic PET functional images, IEEE Transactions on Information Technology in Biomedicine 4 (2)152-158, 2000.
  • [2] CALAMANTE F., GADIAN D. G., CONNELLY A., 2000 Delay and dispersion effects in dynamic susceptibility contrast MRI: simulations using singular value decomposition Magn. Reson. Med. 44 466–73
  • [3] ØSTERGAARD L., WEISSKOFF R. M., CHESLER D. A., GYLDENSTED C., ROSEN B. R., High resolution measurement of cerebral blood flow using intravascular tracer bolus passages: I. Mathematical approach and statistical analysis, II. Experimental comparison and preliminary results Magn. Reson. Med. 36 715–36, 1996.
  • [4] RUMINSKI J., KACZMAREK M., NOWAKOWSKI A., Medical Active Thermography – A New Image Reconstruction Method, LNCS2124, Springer,2 74-281, 2001.
  • [5] WANG J., ALSOP D. C., LI L., LISTERUD J., GONZALEZ-AT J. B., SCHNALL M. D., DETRE J. A., Comparison of Quantitative Perfusion Imaging Using Arterial Spin Labeling at 1.5 and 4.0 Tesla, MRM 48:242–254, 2002.
  • [6] WU L., A Parameter Choice Method For Tikhonov Regularization, Electronic Transactions on Numerical Analysis. Volume 16, pp. 107-128, Kent State University, 2003.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0008-0005
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