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Effect of magnetization transfer on the measurement of cerebral blood flow using steady‐state arterial spin tagging approaches: A theoretical investigation
Author(s) -
McLaughlin Alan C.,
Ye Frank Q.,
Pekar James J.,
Santha Attanagoda K. S.,
Frank Joseph A.
Publication year - 1997
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.1910370406
Subject(s) - omega , magnetization , magnetization transfer , relaxation (psychology) , spins , nuclear magnetic resonance , cerebral blood flow , physics , steady state (chemistry) , chemistry , condensed matter physics , magnetic resonance imaging , quantum mechanics , medicine , magnetic field , radiology
A simple four‐compartment model for magnetization transfer was used to obtain theoretical expressions for the relationship between regional cerebral blood flow and Δ M , the change in longitudinal magnetization of brain water spins when arterial water spins are perturbed. The theoretical relationship can be written in two forms, depending on the approach used to normalize Δ M. Using the first approach, the calculation of cerebral blood flow requires a knowledge of R 1 (ω 1 , Δω), the longitudinal relaxation rate observed in the presence of continuous off‐resonance RF irradiation. Using the second approach, the calculation of cerebral blood flow requires a knowledge of ℛ 1 (ω 1 , Δω), where ℛ 1 (ω 1 , Δω) is given by the product of R 1 (ω 1 , Δω) and the fractional steady‐state longitudinal water magnetization in the presence of off‐resonance RF irradiation. If the off‐resonance RF irradiation used for arterial tagging does not produce appreciable magnetization transfer effects, ℛ 1 , (ω 1 , Δω) can be approximated by the longitudinal relaxation rate measured in the absence of offresonance RF irradiation, R 1obs. Theoretical expressions obtained by using the four‐component model for magnetization transfer are compared with equivalent expressions obtained by using two‐compartment models.