Theoretical model of intravascular paramagnetic tracers effect on tissue relaxation

Magnetic Resonance in Medicine

Volumn 56, Issue 1, 2006, Pages 187-197

  Kjølby, Birgitte Fuglsang ^a   Ostergaard L ^a   Kiselev, V G ^b  

^a AARHUS UNIVERSITY HOSPITAL   (Denmark)

^b UNIVERSITY OF FREIBURG   (Germany)

Author keywords

Modeling of MR signal; Monte Carlo simulations; Quantitation of perfusion measurements; Relaxation, relaxivity; Susceptibility contrast

Indexed keywords

BLOOD; BLOOD VESSELS; MAGNETIC RESONANCE IMAGING; MAGNETIC SUSCEPTIBILITY; MONTE CARLO METHODS; PARAMAGNETISM; TRACERS;

ANALYTICAL THEORY; MR SIGNALS; PERFUSION MEASUREMENTS; REALISTIC SIMULATION; RELAXATION EFFECT; RELAXIVITY; THEORETICAL MODELING; TRANSVERSE RELAXATION;

TISSUE;

EID: 33745685188     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.20920     Document Type: Article

References (27)

1. Mørkenborg J, Taagehøj JF, Vaever PN, Frøklaer J, Djurhuus JC, Stødkilde-Jørgensen H. In vivo measurement of T1 and T2 relaxivity in the kidney cortex of the pig-based on a two-compartment steady-state model. Magn Reson Imaging 1998;16:933-942.
2. Pedersen M, Mørkenborg J, Jensen FT, Stødkilde- Jørgensen H, Djurhuus, JC, Frokiaer J. In vivo measurements of relaxivities in the rat kidney cortex. J Magn Reson Imaging 2000;12:289-296.
3. Johnson KM, Tao JZ, Kennan RP, Gore JC. Intravascular susceptibility agent effects on tissue transverse relaxation rates in vivo. Magn Reson Med 2000;44:909-914.
4. Kiselev V, Novikov D. Transverse NMR relaxation as a probe of mesoscopic structure. Phys Rev Lett 2002;89:278101.
5. Frøhlich A, Østergaard L, Kiselev V. Theory of susceptibility-induced transverse relaxation in the capillary network in the diffusion narrowing regime. Magn Reson Med 2005;53:564-573.
6. Bjørnerud A, Johansson L, Briley-Saebø K, Ahlström H. Assessment of T1 and T2* effects in vivo and ex vivo using iron oxide nanoparticles in steady state-dependence on blood volume and water exchange. Magn Reson Med 2002;47:461-471.
7. Østergaard L, Weisskoff R, Chesler C DA and Gyldensted, Rosen B. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: Mathematical approach and statistical analysis. Magn Reson Med 1996;36:715-725.
8. Østergaard L, Sorensen A, KK K, Weisskoff R, Gyldensted C, Rosen B. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part II. Experimental comparison and preliminary results. Magn Reson Med 1996;36:726-735.
9. van Osch M, Vonken E, Viergever M, van der Grond J, Bakker C. Measuring the arterial input function with gradient echo sequences. Magn Reson Med 2003;49:1067-1076.
10. Akbudak E, Kotys M, Conturo T. Quadraticity and hematocrit dependence of ΔR2* AIF signals at 3T: a blood phantom study under physiologic conditions. Syllabus of the ISMRM workshop on Quantitative Cerebral Perfusion Imaging Using MRI: A Technical Perspective, Venice, 2004. p 10-11.
11. Kiselev V. On the theoretical basis of perfusion measurements by dynamic susceptibility contrast MRI. Magn Reson Med 2001;46:1113-1122.
12. Ogawa S, Menon R, Tank D, Kim SG, Merkle H, Ellerman J, Ugurbil K. Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging. Biophys J 1993;64:803-812.
13. Yablonskiy DA, Haacke EM. Theory of NMR signal behavior in magnetically inhomogeneous tissues: the static dephasing regime: Magn Reson Med 1994;32:749-763.
14. Boxerman JL, Bandettini PA, Kwong KK, Baker JR, Davis TL, Rosen BR, Weisskoff RM. The intravascular contribution to fMRI signal change: Monte Carlo modeling and diffusion-weighted studies in vivo. Magn Reson Med 1995;34:4-10.
15. Kiselev V, Posse S. Analytical theory of susceptibility induced NMR signal Dephasing in a Cerebrovascular Network. Phys Rev Lett 1998;81:5696-5699.
16. Kiselev V, Posse S. Analytical model of susceptibility-induced MR signal dephasing: effect of diffusion in a microvascular network. Magn Reson Med 1999;41:499-509.
17. 2O PET in humans. J Cereb Blood Flow Metab 1998;18:935-940.
18. Østergaard L, Johannesen P, Poulsen P, Vestergaard-Poulsen P, Asboe H, Gee A, Hansen S, Cold G, Gjedde A, Gyldensted C. Absolute cerebral blood flow and blood volume measured by magnetic resonance imaging bolus tracking: Comparison with positron emission tomography values. J Cereb Blood Flow Metab 1998;18:425-432.
19. Fujita N. Extravascular contribution of blood oxygenation level-dependent signal changes: a numerical analysis based on a vascular network model. Magn Reson Med 2001;46:723-734.
20. 2*, and non-lorentzian signal behaviour. Magn Reson Med 2001;45:533-542.
21. Torrey HC. Bloch equations with diffusion terms. Phys Rev 1956;104:563.
22. Martindale J, Zheng Y, Johnston D, Papadakis N, Mayhew J. Transverse relaxation rate as a function of physiological parameters: emperical modelling of monte-carlo data. In: Proceedings of the 13th Annual Meeting of ISMRM, Miami Beach, FL, USA, 2005. p 696.
23. Press W, editor. Numerical Recipes in C++, 2nd ed. Cambridge University Press, 2002.
24. Albert MS, Huang W, Lee JH, Patlak CS, Springer CS. Susceptibility changes following bolus injections. Magn Reson Med 1993;29:700-708.
25. Sukstanskii A, Yablonskiy D. Gaussian approximation in the theory of MR signal formation in the presence of structure-specific magnetic field inhomogeneities. J Magn Reson 2003;163:236-247.
26. Weisskoff RM, Kiihne S. MRI susceptometry: image-based measurement of absolute susceptibility of MR contrast agents and human blood. Magn Reson Med 1992;24:375-383.
27. D. A. Yablonskiy. Quantitation of intrinsic magnetic susceptibility- related effects in a tissue matrix. Phantom study. Magn Reson Med 1998;3:417-428.