NDLI: Three-dimensional first-pass myocardial perfusion MRI using a stack-of-spirals acquisition

Content Provider	PubMed Central
Author	Shin, Taehoon Nayak, Krishna S. Santos, Juan M. Nishimura, Dwight G. Hu, Bob S. Mcconnell, Michael V.
Abstract	Three-dimensional (3D) cardiac magnetic resonance (CMR) perfusion imaging is promising for the precise sizing of defects and for providing high perfusion contrast, but remains an experimental approach primarily due to the need for large-dimensional encoding, which, for traditional 3DFT imaging, requires either impractical acceleration factors or sacrifices in spatial resolution. We demonstrated the feasibility of rapid 3D CMR perfusion imaging using a stack-of-spirals acquisition accelerated by non-Cartesian k-t SENSE, which enables entire myocardial coverage with an in-plane resolution of 2.4 mm. The optimal under-sampling pattern was employed to achieve the largest separation between true and aliased signals, which is a pre-requisite for k-t SENSE reconstruction. Flip angle and saturation recovery time were chosen to ensure negligible magnetization variation during the transient data acquisition. We compared the proposed 3D perfusion method with the standard 2DFT approach by consecutively acquiring both data during each R-R interval in cardiac patients. The mean and standard deviation of the correlation coefficients between time intensity curves (TICs) of 3D vs 2DFT were 0.94 and 0.06 across seven subjects. The linear correlation between the two sets of upslope values was significant (r=0.78, P<0.05).
Related Links	http://dx.doi.org/10.1002/mrm.24303
Ending Page	844
Page Count	6
Starting Page	839
File Format	PDF
ISSN	15222594
e-ISSN	15222594
Journal	Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine
Issue Number	3
Volume Number	69
Language	English
Publisher Date	2013-03-01
Access Restriction	Open
Subject Keyword	Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging

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