title: Modeling (1H) exchange: an estimate of the error introduced in MRI by assuming the fast exchange limit in bolus tracking.
abstract: A simulation is presented which calculates the MRI signal expected from a model tissue for a given pulse sequence after a bolus injection of a contrast agent. The calculation assumes two physiologic compartments only, the intravascular and extravascular spaces. The determination of the concentration of contrast in each compartment as a function of time and position has been outlined in a previous publication (Moran and Prato, Magn Reson Med 2001;45:42-45). These contrast agent concentrations are used here to determine the NMR relaxation times as a function of time and position within the tissue. Knowledge of this simulated tissue 'map' of relaxation times as a function of time provides the information required to determine whether the proton exchange rate is fast or slow on the NMR timescale. Since with a bolus injection the concentration of contrast and hence the relaxation time may vary with position along the capillary, some segments of the capillary are allowed to be in fast exchange with the extravascular space, while others may be in slow exchange. Using this information, and parameters specific to a given tissue, the MRI signal for a given pulse sequence is constructed which correctly accounts for differences in proton exchange across the length of the capillary. It is shown that extravascular contrast agents show less signal dependence on water exchange, and thus may be more appropriate for quantitative imaging when using fast exchange assumptions. It is also shown that nondistributed compartment models can incorrectly estimate the water exchange that is occurring at the capillary level if exchange-minimizing pulse sequences are not used.
authors.affiliation: Medical Physics and Applied Radiation Sciences Unit, McMaster University, Hamilton, Ontario, Canada. morang@mcmaster.ca
authors.forename: G R
authors.initials: GR
authors.lastname: Moran
authors.forename: F S
authors.initials: FS
authors.lastname: Prato
mesh_terms: D000465:Algorithms; D001834:Body Water / Q000378:metabolism; D002196:Capillaries / Q000378:metabolism; D002199:Capillary Permeability; D003198:Computer Simulation; D003287:Contrast Media / Q000493:pharmacokinetics; D019786:Gadolinium DTPA / Q000493:pharmacokinetics; D006801:Humans; D006859:Hydrogen / Q000493:pharmacokinetics*; D007089:Image Enhancement / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009682:Magnetic Resonance Spectroscopy; D008954:Models, Biological; D018892:Proton-Motive Force; D013997:Time Factors; D014018:Tissue Distribution
chemical_list: D003287:Contrast Media; D006859:Hydrogen; D019786:Gadolinium DTPA