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Supplemental Material and Code for:

Optimized 3D Non-Cartesian Gridding Reconstruction for Hyperpolarized 129Xe MRI: Focus on Preclinical Applications

Scott H. Robertson1,2, Rohan S. Virgincar1,3, Mu He1,4, Matthew S. Freeman1,2, Suryanarayanan S. Kaushik1,3, Bastiaan Driehuys1,2,3,5

1Center for In Vivo Microscopy, Department of Radiology, Duke University Medical Center

2Medical Physics Graduate Program, Duke University

3Department of Biomedical Engineering, Duke University

4Department of Electrical and Computer Engineering, Duke University

5Department of Radiology, Duke University Medical Center

In order to characterize and optimize gridding reconstruction of 3D radial hyperpolarized (HP) 129Xe MRI, we developed a flexible, open source reconstruction software package in MATLAB. The code supports N-Dimensional gridding-based reconstruction of Non-Cartesian MRI data. The code requires only 2 inputs: the measured k-space data and trajectories. The reconstruction framework then constructs a sparse system matrix that can be used to iteratively reconstruct data. A variety of reconstruction parameters can be used to tune the image quality of the output reconstruction. For further details regarding usage and capabilities, see the README that is packaged with the code download.

Submitted to Concepts in Magnetic Resonance Part A



Use of CIVM Code:

Data downloaded from this site is for academic use only. If you use this data in a publication please send us a request for copyright permission and appropriate acknowledgements. Licenses can be granted for commercial use.
Contact the Center for permission.

CIVM makes data and code from published studies available for research. We ask that you give credit to the Duke Center for In Vivo Microscopy for any written or oral presentation using data or code from this site. Please use the following acknowledgement: Data (or code if appropriate for your use) provided by the Duke Center for In Vivo Microscopy NIH/NIBIB (P41 EB015897).

System Requirements:

Link to MEX-compatible version of MATLAB.

Supplementary Code:

Link to download all available code from GitHub (no sign-in necessary, click "Download ZIP").


All imaging was performed at the Duke Center for In Vivo Microscopy, an NIH/NIBIB National Biomedical Technology Resource Center (P41 EB015897). Other support was provided by NIH/NHLBI R01 HL105643.



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