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Noise reduction in 3D perfusion imaging by attenuating the static signal in arterial spin tagging (ASSIST)
Author(s) -
Ye Frank Q.,
Frank Joseph A.,
Weinberger Daniel R.,
McLaughlin Alan C.
Publication year - 2000
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 - 10.1002/1522-2594(200007)44:1<92::aid-mrm14>3.0.co;2-m
Subject(s) - arterial spin labeling , cerebral blood flow , computer science , noise reduction , signal (programming language) , communication noise , perfusion scanning , spiral (railway) , noise (video) , physics , nuclear magnetic resonance , artificial intelligence , perfusion , biomedical engineering , medicine , mathematics , radiology , image (mathematics) , cardiology , programming language , mathematical analysis , linguistics , philosophy
Phase‐encoded multishot SPIRAL approaches were used to acquire true 3D cerebral blood flow images of the human head using arterial spin tagging approaches. Multiple‐inversion background suppression techniques, which suppress phase noise due to interacquisition fluctuations in the static magnetic field, reduced the temporal standard deviation of true 3D Δ M images acquired using arterial spin tagging approaches by ∼50%. Background suppressed arterial spin tagging (ASSIST) approaches were used to obtain high‐resolution isotropic true 3D cerebral blood flow images, and to obtain true 3D activation images during cognitive (working memory) tasks. Magn Reson Med 44:92–100, 2000. Published 2000 Wiley‐Liss, Inc.