Whole-brain perfusion imaging with balanced steady-state free precession arterial spin labeling

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Recently, balanced steady-state free precession (bSSFP) readout has been proposed for arterial spin labeling (ASL) perfusion imaging to reduce susceptibility artifacts at a relatively high spatial resolution and signal-to-noise ratio (SNR). However, the main limitation of bSSFP-ASL is the low spatial coverage. In this work, methods to increase the spatial coverage of bSSFP-ASL are proposed for distortion-free, high-resolution, whole-brain perfusion imaging. Three strategies of (i) segmentation, (ii) compressed sensing (CS) and (iii) a hybrid approach combining the two methods were tested to increase the spatial coverage of pseudo-continuous ASL (pCASL) with three-dimensional bSSFP readout. The spatial coverage was increased by factors of two, four and six using each of the three approaches, whilst maintaining the same total scan time (5.3min). The number of segments and/or CS acceleration rate (R) correspondingly increased to maintain the same bSSFP readout time (1.2s). The segmentation approach allowed whole-brain perfusion imaging for pCASL-bSSFP with no penalty in SNR and/or total scan time. The CS approach increased the spatial coverage of pCASL-bSSFP whilst maintaining the temporal resolution, with minimal impact on the image quality. The hybrid approach provided compromised effects between the two methods. Balanced SSFP-based ASL allows the acquisition of perfusion images with wide spatial coverage, high spatial resolution and SNR, and reduced susceptibility artifacts, and thus may become a good choice for clinical and neurological studies.
Publisher
WILEY-BLACKWELL
Issue Date
2016-03
Language
English
Article Type
Article
Keywords

CEREBRAL-BLOOD-FLOW; EDDY-CURRENTS; MR PERFUSION; DYNAMIC MRI; 3 TESLA; SSFP; INVERSION; COMPENSATION; PHASE; QUANTIFICATION

Citation

NMR IN BIOMEDICINE, v.29, no.3, pp.264 - 274

ISSN
0952-3480
DOI
10.1002/nbm.3463
URI
http://hdl.handle.net/10203/208168
Appears in Collection
BiS-Journal Papers(저널논문)
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