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Velocity imaging by rapid cycle tagging
Author(s) -
Saloner D.,
Moran P. R.,
Tsui B. M. W.
Publication year - 1987
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.596108
Subject(s) - computer science , blood flow , temporal resolution , signal (programming language) , inflow , magnetic resonance imaging , magnetization , region of interest , image resolution , computer vision , acoustics , physics , artificial intelligence , nuclear magnetic resonance , optics , mechanics , magnetic field , radiology , medicine , quantum mechanics , programming language
The unique abilities of magnetic resonance imaging (MRI) to provide detailed images of blood flow in the body, and without resorting to the injection of contrast agents, has provided the stimulus for the keen interest in this subject. In this paper we discuss a technique aimed at providing quantitative information on the distribution of velocity of blood flow across the lumen of a vessel. The technique is designed to reduce the signal from stationary material allowing for a much more accurate determination of the signal from moving material. A particular feature is that the physical phenomenon sensitized is time‐of‐flight displacements or “fresh spin inflow,” and the technique does not rely upon phase‐sensitive modulations. Further this technique produces a steady‐state spatial distribution of magnetization, and hence a signal, which reflects both the time at which material enters the selected slice and how long the material remains in the slice. In this way, a single image will provide the information necessary to extract information on the velocities of interest.