Using Flow Relaxography to Elucidate Flow Relaxivity |
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| Affiliation: | 1. Weill Cornell Medical College, New York, NY, USA;2. Columbia University Medical Center, New York, NY, USA;3. Case Western Reserve University, Cleveland, OH, USA;4. Cornell University, Ithaca, NY, USA;1. Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC 27599, USA;2. Biomedical Research Imaging Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA;3. Department of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA;4. Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO 63130, USA;5. Department of Neurological Surgery, Washington University, St. Louis, MO 63130, USA;1. Department of Chemistry, Lund University, P.O.B. 124, Lund, SE 221 00, Sweden;2. Random Walk Imaging AB, Lund, Sweden;3. Department of Neuroradiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany;4. Department of Radiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany |
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| Abstract: | We have investigated the theoretical and experimental linear dependence of the reciprocal of the apparent longitudinal relaxation time [(T*1)−1] of the NMR signal from spins in a flowing fluid on the volume flow rate,Fv, the so-calledinflow effect.We refer to the coefficient of this dependence as the longitudinalflow relaxivity, r1F. A very simple model predicts that, under a range of conditions pertinent to modern flow studies and perfusion imaging experiments,r1Fis controlled by the volume of the fluid in which the magnetization is perturbed by pulsed RF inversion or saturation, not the detection volume, and that it can be approximated as the reciprocal of half of the inversion volume. Phantom sample experiments, using a new, quantitative approach that we callflow relaxography,confirm the general predictions of this simple model. There are two intriguing implications of these findings for general NMR flow studies as well as for medical applications. It should be possible to vary the value ofr1Fby simply (noninvasively) adjusting the inversion slice thickness, and thus measure the value of (blood1H2O, for example)Fvin a vessel without changingFv, from the resultant varyingT*1values. Also, it should be possible to extrapolate to the intrinsicT1value of the fluid signal (as if it were stationary), without altering or stopping the flow. Again, these are quite successful in phantom sample studies. Imaging versions of the flow relaxographic experiments are also possible. The twin goals of flow studies in medical MRI are the quantitative discrimination of the signals from flowing and nonflowing spins, and the accurate measurement of the flow rate of the former. |
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