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Optimizing 3D noncartesian gridding reconstruction for hyperpolarized 129Xe MRI-focus on preclinical applications

Publication ,  Journal Article
Robertson, SH; Virgincar, RS; He, M; Freeman, MS; Kaushik, SS; Driehuys, B
Published in: Concepts in Magnetic Resonance Part A: Bridging Education and Research
July 1, 2015

The goal of this work is to characterize and optimize gridding reconstruction of 3D radial hyperpolarized (HP) 129Xe MRI. In support of this objective, we developed a flexible, open source reconstruction software package in MATLAB to optimally reconstruct radially acquired, undersampled HP 129Xe MRI. Using this framework, we demonstrate the effects of 5 key reconstruction parameters: overgridding, gridding kernel function, kernel sharpness, kernel extent, and the density compensation algorithm. We further demonstrate how each parameter can be tuned to optimize a high-resolution 3D radially acquired HP 129Xe image of a ventilated mouse. Specifically, wrap-around artifact, caused by non-selective RF excitation of signal in the trachea, was eliminated by overgridding onto a finely spaced k-space grid; high-frequency aliasing was reduced using iterative density compensation; image SNR and sharpness were optimized by tuning kernel sharpness; and computational burden was minimized by defining an appropriate kernel extent. Compared to our previous reconstruction methods, this optimized method extended visualization from the 5th to 6th generation of mouse airway, while maintaining comparable SNR. Although optimized here for preclinical mouse MRI, this work suggests that 3D radial acquisition offers many broader advantages to undersampled HP gas MRI. Using the methods presented here, we maintained image quality across datasets acquired with various degrees of undersampling and differing SNR by adjusting only a single parameter. These methods are now available to optimize radially acquired hyperpolarized gas images in both the clinical and preclinical arena.

Duke Scholars

Published In

Concepts in Magnetic Resonance Part A: Bridging Education and Research

DOI

EISSN

1552-5023

ISSN

1546-6086

Publication Date

July 1, 2015

Volume

44

Issue

4

Start / End Page

190 / 202

Related Subject Headings

  • Biophysics
  • 3406 Physical chemistry
  • 0306 Physical Chemistry (incl. Structural)
  • 0299 Other Physical Sciences
 

Citation

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MLA
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Robertson, S. H., Virgincar, R. S., He, M., Freeman, M. S., Kaushik, S. S., & Driehuys, B. (2015). Optimizing 3D noncartesian gridding reconstruction for hyperpolarized 129Xe MRI-focus on preclinical applications. Concepts in Magnetic Resonance Part A: Bridging Education and Research, 44(4), 190–202. https://doi.org/10.1002/cmr.a.21352
Robertson, S. H., R. S. Virgincar, M. He, M. S. Freeman, S. S. Kaushik, and B. Driehuys. “Optimizing 3D noncartesian gridding reconstruction for hyperpolarized 129Xe MRI-focus on preclinical applications.” Concepts in Magnetic Resonance Part A: Bridging Education and Research 44, no. 4 (July 1, 2015): 190–202. https://doi.org/10.1002/cmr.a.21352.
Robertson SH, Virgincar RS, He M, Freeman MS, Kaushik SS, Driehuys B. Optimizing 3D noncartesian gridding reconstruction for hyperpolarized 129Xe MRI-focus on preclinical applications. Concepts in Magnetic Resonance Part A: Bridging Education and Research. 2015 Jul 1;44(4):190–202.
Robertson, S. H., et al. “Optimizing 3D noncartesian gridding reconstruction for hyperpolarized 129Xe MRI-focus on preclinical applications.” Concepts in Magnetic Resonance Part A: Bridging Education and Research, vol. 44, no. 4, July 2015, pp. 190–202. Scopus, doi:10.1002/cmr.a.21352.
Robertson SH, Virgincar RS, He M, Freeman MS, Kaushik SS, Driehuys B. Optimizing 3D noncartesian gridding reconstruction for hyperpolarized 129Xe MRI-focus on preclinical applications. Concepts in Magnetic Resonance Part A: Bridging Education and Research. 2015 Jul 1;44(4):190–202.
Journal cover image

Published In

Concepts in Magnetic Resonance Part A: Bridging Education and Research

DOI

EISSN

1552-5023

ISSN

1546-6086

Publication Date

July 1, 2015

Volume

44

Issue

4

Start / End Page

190 / 202

Related Subject Headings

  • Biophysics
  • 3406 Physical chemistry
  • 0306 Physical Chemistry (incl. Structural)
  • 0299 Other Physical Sciences