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Mapping and correcting hyperpolarized magnetization decay with radial keyhole imaging.

Publication ,  Journal Article
Niedbalski, PJ; Willmering, MM; Robertson, SH; Freeman, MS; Loew, W; Giaquinto, RO; Ireland, C; Pratt, RG; Dumoulin, CL; Woods, JC; Cleveland, ZI
Published in: Magnetic resonance in medicine
July 2019

Hyperpolarized (HP) media enable biomedical imaging applications that cannot be achieved with conventional MRI contrast agents. Unfortunately, quantifying HP images is challenging, because relaxation and radio-frequency pulsing generate spatially varying signal decay during acquisition. We demonstrate that, by combining center-out k-space sampling with postacquisition keyhole reconstruction, voxel-by-voxel maps of regional HP magnetization decay can be generated with no additional data collection.Digital phantom, HP 129 Xe phantom, and in vivo 129 Xe human (N = 4 healthy; N = 2 with cystic fibrosis) imaging was performed using radial sampling. Datasets were reconstructed using a postacquisition keyhole approach in which 2 temporally resolved images were created and used to generate maps of regional magnetization decay following a simple analytical model.Mean, keyhole-derived decay terms showed excellent agreement with the decay used in simulations (R2 = 0.996) and with global attenuation terms in HP 129 Xe phantom imaging (R2 > 0.97). Mean regional decay from in vivo imaging agreed well with global decay values and displayed spatial heterogeneity that matched expected variations in flip angle and oxygen partial pressure. Moreover, these maps could be used to correct variable signal decay across the image volume.We have demonstrated that center-out trajectories combined with keyhole reconstruction can be used to map regional HP signal decay and to quantitatively correct images. This approach may be used to improve the accuracy of quantitative measures obtained from hyperpolarized media. Although validated with gaseous HP 129 Xe in this work, this technique can be generalized to any hyperpolarized agent.

Duke Scholars

Published In

Magnetic resonance in medicine

DOI

EISSN

1522-2594

ISSN

0740-3194

Publication Date

July 2019

Volume

82

Issue

1

Start / End Page

367 / 376

Related Subject Headings

  • Xenon Isotopes
  • Signal Processing, Computer-Assisted
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Male
  • Magnetic Resonance Imaging
  • Lung
  • Image Processing, Computer-Assisted
  • Humans
  • Female
 

Citation

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MLA
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Niedbalski, P. J., Willmering, M. M., Robertson, S. H., Freeman, M. S., Loew, W., Giaquinto, R. O., … Cleveland, Z. I. (2019). Mapping and correcting hyperpolarized magnetization decay with radial keyhole imaging. Magnetic Resonance in Medicine, 82(1), 367–376. https://doi.org/10.1002/mrm.27721
Niedbalski, Peter J., Matthew M. Willmering, Scott H. Robertson, Matthew S. Freeman, Wolfgang Loew, Randy O. Giaquinto, Christopher Ireland, et al. “Mapping and correcting hyperpolarized magnetization decay with radial keyhole imaging.Magnetic Resonance in Medicine 82, no. 1 (July 2019): 367–76. https://doi.org/10.1002/mrm.27721.
Niedbalski PJ, Willmering MM, Robertson SH, Freeman MS, Loew W, Giaquinto RO, et al. Mapping and correcting hyperpolarized magnetization decay with radial keyhole imaging. Magnetic resonance in medicine. 2019 Jul;82(1):367–76.
Niedbalski, Peter J., et al. “Mapping and correcting hyperpolarized magnetization decay with radial keyhole imaging.Magnetic Resonance in Medicine, vol. 82, no. 1, July 2019, pp. 367–76. Epmc, doi:10.1002/mrm.27721.
Niedbalski PJ, Willmering MM, Robertson SH, Freeman MS, Loew W, Giaquinto RO, Ireland C, Pratt RG, Dumoulin CL, Woods JC, Cleveland ZI. Mapping and correcting hyperpolarized magnetization decay with radial keyhole imaging. Magnetic resonance in medicine. 2019 Jul;82(1):367–376.
Journal cover image

Published In

Magnetic resonance in medicine

DOI

EISSN

1522-2594

ISSN

0740-3194

Publication Date

July 2019

Volume

82

Issue

1

Start / End Page

367 / 376

Related Subject Headings

  • Xenon Isotopes
  • Signal Processing, Computer-Assisted
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Male
  • Magnetic Resonance Imaging
  • Lung
  • Image Processing, Computer-Assisted
  • Humans
  • Female