GOCART: GOlden-angle CArtesian randomized time-resolved 3D MRI

Yinghua Zhu; Yi Guo; Sajan Goud Lingala; R. Marc Lebel; Meng Law; Krishna S Nayak

doi:10.1016/j.mri.2015.12.030

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GOCART: GOlden-angle CArtesian randomized time-resolved 3D MRI

Journal article

Peer reviewed

GOCART: GOlden-angle CArtesian randomized time-resolved 3D MRI

Yinghua Zhu, Yi Guo, Sajan Goud Lingala, R. Marc Lebel, Meng Law and Krishna S Nayak

Magnetic resonance imaging, Vol.34(7), pp.940-950

09/2016

DOI: 10.1016/j.mri.2015.12.030

PMID: 26707849

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Abstract

To develop and evaluate a novel 3D Cartesian sampling scheme which is well suited for time-resolved 3D MRI using parallel imaging and compressed sensing. The proposed sampling scheme, termed GOlden-angle CArtesian Randomized Time-resolved (GOCART) 3D MRI, is based on golden angle (GA) Cartesian sampling, with random sampling of the ky-kz phase encode locations along each Cartesian radial spoke. This method was evaluated in conjunction with constrained reconstruction of retrospectively and prospectively undersampled in-vivo dynamic contrast enhanced (DCE) MRI data and simulated phantom data. In in-vivo retrospective studies and phantom simulations, images reconstructed from phase encodes defined by GOCART were equal to or superior to those with Poisson disc or GA sampling schemes. Typical GOCART sampling tables were generated in <100ms. GOCART has also been successfully utilized prospectively to produce clinically valuable whole-brain DCE-MRI images. GOCART is a practical and efficient sampling scheme for time-resolved 3D MRI. It shows great potential for highly accelerated DCE-MRI and is well suited to modern reconstruction methods such as parallel imaging and compressed sensing.

DCE

Dynamic golden angleRandomized samplingConstrained reconstruction

Time resolved 3D MRI

Details

Title: Subtitle: GOCART: GOlden-angle CArtesian randomized time-resolved 3D MRI
Creators: Yinghua Zhu - University of Southern California
Yi Guo - University of Southern California
Sajan Goud Lingala - University of Southern California
R. Marc Lebel - GE Healthcare
Meng Law - University of Southern California
Krishna S Nayak - University of Southern California
Resource Type: Journal article
Publication Details: Magnetic resonance imaging, Vol.34(7), pp.940-950
DOI: 10.1016/j.mri.2015.12.030
PMID: 26707849
NLM abbreviation: Magn Reson Imaging
ISSN: 0730-725X
eISSN: 1873-5894
Publisher: Elsevier Inc
Language: English
Date published: 09/2016
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology
Record Identifier: 9984196999602771

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