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Measurement of deep gray matter perfusion using a segmented true–fast imaging with steady‐state precession (True‐FISP) arterial spin‐labeling (ASL) method at 3T
Author(s) -
Grossman Elan J.,
Zhang Ke,
An Jing,
Voorhees Abram,
Inglese Matilda,
Ge Yulin,
Oesingmann Niels,
Xu Jian,
Mcgorty Kelly A.,
Chen Qun
Publication year - 2009
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.21794
Subject(s) - nuclear medicine , cerebral blood flow , perfusion , perfusion scanning , arterial spin labeling , medicine , nuclear magnetic resonance , magnetic resonance imaging , putamen , positron emission tomography , radiology , physics , cardiology
Purpose To study the feasibility of using the MRI technique of segmented true–fast imaging with steady‐state precession arterial spin‐labeling (True‐FISP ASL) for the noninvasive measurement and quantification of local perfusion in cerebral deep gray matter at 3T. Materials and Methods A flow‐sensitive alternating inversion‐recovery (FAIR) ASL perfusion preparation was used in which the echo‐planar imaging (EPI) readout was replaced with a segmented True‐FISP data acquisition strategy. The absolute perfusion for six selected regions of deep gray matter (left and right thalamus, putamen, and caudate) were calculated in 11 healthy human subjects (six male, five female; mean age = 35.5 years ± 9.9). Results Preliminary measurements of the average absolute perfusion values at the six selected regions of deep gray matter are in agreement with published values for mean absolute cerebral blood flow (CBF) baselines acquired from healthy volunteers using positron emission tomography (PET). Conclusion Segmented True‐FISP ASL is a practical and quantitative technique suitable to measure local tissue perfusion in cerebral deep gray matter at a high spatial resolution without the susceptibility artifacts commonly associated with EPI‐based methods of ASL. J. Magn. Reson. Imaging 2009;29:1425–1431. © 2009 Wiley‐Liss, Inc.