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Bias field correction in hyperpolarized 129 Xe ventilation MRI using templates derived by RF-depolarization mapping.

Publication ,  Journal Article
Lu, J; Wang, Z; Bier, E; Leewiwatwong, S; Mummy, D; Driehuys, B
Published in: Magn Reson Med
August 2022

PURPOSE: To correct for RF inhomogeneity for in vivo 129 Xe ventilation MRI using flip-angle mapping enabled by randomized 3D radial acquisitions. To extend this RF-depolarization mapping approach to create a flip-angle map template applicable to arbitrary acquisition strategies, and to compare these approaches to conventional bias field correction. METHODS: RF-depolarization mapping was evaluated first in digital simulations and then in 51 subjects who had undergone radial 129 Xe ventilation MRI in the supine position at 3T (views = 3600; samples/view = 128; TR/TE = 4.5/0.45 ms; flip angle = 1.5; FOV = 40 cm). The images were corrected using newly developed RF-depolarization and templated-based methods and the resulting quantitative ventilation metrics (mean, coefficient of variation, and gradient) were compared to those resulting from N4ITK correction. RESULTS: RF-depolarization and template-based mapping methods yielded a pattern of RF-inhomogeneity consistent with the expected variation based on coil architecture. The resulting corrected images were visually similar, but meaningfully distinct from those generated using standard N4ITK correction. The N4ITK algorithm eliminated the physiologically expected anterior-posterior gradient (-0.04 ± 1.56%/cm, P < 0.001). These 2 newly introduced methods of RF-depolarization and template correction retained the physiologically expected anterior-posterior ventilation gradient in healthy subjects (2.77 ± 2.09%/cm and 2.01 ± 2.73%/cm, respectively). CONCLUSIONS: Randomized 3D 129 Xe MRI ventilation acquisitions can inherently be corrected for bias field, and this technique can be extended to create flip angle templates capable of correcting images from a given coil regardless of acquisition strategy. These methods may be more favorable than the de facto standard N4ITK because they can remove undesirable heterogeneity caused by RF effects while retaining results from known physiology.

Duke Scholars

Published In

Magn Reson Med

DOI

EISSN

1522-2594

Publication Date

August 2022

Volume

88

Issue

2

Start / End Page

802 / 816

Location

United States

Related Subject Headings

  • Xenon Isotopes
  • Respiration
  • Nuclear Medicine & Medical Imaging
  • Magnetic Resonance Imaging
  • Lung
  • Humans
  • Algorithms
  • 4003 Biomedical engineering
  • 0903 Biomedical Engineering
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Lu, J., Wang, Z., Bier, E., Leewiwatwong, S., Mummy, D., & Driehuys, B. (2022). Bias field correction in hyperpolarized 129 Xe ventilation MRI using templates derived by RF-depolarization mapping. Magn Reson Med, 88(2), 802–816. https://doi.org/10.1002/mrm.29254
Lu, Junlan, Ziyi Wang, Elianna Bier, Suphachart Leewiwatwong, David Mummy, and Bastiaan Driehuys. “Bias field correction in hyperpolarized 129 Xe ventilation MRI using templates derived by RF-depolarization mapping.Magn Reson Med 88, no. 2 (August 2022): 802–16. https://doi.org/10.1002/mrm.29254.
Lu J, Wang Z, Bier E, Leewiwatwong S, Mummy D, Driehuys B. Bias field correction in hyperpolarized 129 Xe ventilation MRI using templates derived by RF-depolarization mapping. Magn Reson Med. 2022 Aug;88(2):802–16.
Lu, Junlan, et al. “Bias field correction in hyperpolarized 129 Xe ventilation MRI using templates derived by RF-depolarization mapping.Magn Reson Med, vol. 88, no. 2, Aug. 2022, pp. 802–16. Pubmed, doi:10.1002/mrm.29254.
Lu J, Wang Z, Bier E, Leewiwatwong S, Mummy D, Driehuys B. Bias field correction in hyperpolarized 129 Xe ventilation MRI using templates derived by RF-depolarization mapping. Magn Reson Med. 2022 Aug;88(2):802–816.
Journal cover image

Published In

Magn Reson Med

DOI

EISSN

1522-2594

Publication Date

August 2022

Volume

88

Issue

2

Start / End Page

802 / 816

Location

United States

Related Subject Headings

  • Xenon Isotopes
  • Respiration
  • Nuclear Medicine & Medical Imaging
  • Magnetic Resonance Imaging
  • Lung
  • Humans
  • Algorithms
  • 4003 Biomedical engineering
  • 0903 Biomedical Engineering