Literature DB >> 35506520

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

Junlan Lu1, Ziyi Wang2, Elianna Bier2, Suphachart Leewiwatwong2, David Mummy3, Bastiaan Driehuys1,2,3.   

Abstract

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.
© 2022 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  bias field correction; hyperpolarized 129Xe MRI; ventilation defect percentage

Mesh:

Substances:

Year:  2022        PMID: 35506520      PMCID: PMC9248357          DOI: 10.1002/mrm.29254

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   3.737


  33 in total

1.  Accurate template-based correction of brain MRI intensity distortion with application to dementia and aging.

Authors:  C Studholme; V Cardenas; E Song; F Ezekiel; A Maudsley; M Weiner
Journal:  IEEE Trans Med Imaging       Date:  2004-01       Impact factor: 10.048

2.  Hyperpolarized 3He lung ventilation imaging with B1-inhomogeneity correction in a single breath-hold scan.

Authors:  G W Miller; T A Altes; J R Brookeman; E E De Lange; J P Mugler
Journal:  MAGMA       Date:  2004-03-23       Impact factor: 2.310

Review 3.  Distribution of blood flow and ventilation in the lung: gravity is not the only factor.

Authors:  I Galvin; G B Drummond; M Nirmalan
Journal:  Br J Anaesth       Date:  2007-03-08       Impact factor: 9.166

4.  Vertical gradients in regional lung density and perfusion in the supine human lung: the Slinky effect.

Authors:  Susan R Hopkins; A Cortney Henderson; David L Levin; Kei Yamada; Tatsuya Arai; Richard B Buxton; G Kim Prisk
Journal:  J Appl Physiol (1985)       Date:  2007-03-29

5.  Lung T1 mapping magnetic resonance imaging in the assessment of pulmonary disease in children with cystic fibrosis: a pilot study.

Authors:  Fatima Neemuchwala; Maryam Ghadimi Mahani; Yuxi Pang; Eunjee Lee; Timothy D Johnson; Craig J Galbán; Aleksa B Fortuna; Ramon Sanchez-Jacob; Chris A Flask; Samya Z Nasr
Journal:  Pediatr Radiol       Date:  2020-03-11

6.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data.

Authors:  J G Sled; A P Zijdenbos; A C Evans
Journal:  IEEE Trans Med Imaging       Date:  1998-02       Impact factor: 10.048

7.  Image- versus histogram-based considerations in semantic segmentation of pulmonary hyperpolarized gas images.

Authors:  Nicholas J Tustison; Talissa A Altes; Kun Qing; Mu He; G Wilson Miller; Brian B Avants; Yun M Shim; James C Gee; John P Mugler; Jaime F Mata
Journal:  Magn Reson Med       Date:  2021-07-05       Impact factor: 4.668

8.  Hyperpolarized 129Xenon MRI Ventilation Defect Quantification via Thresholding and Linear Binning in Multiple Pulmonary Diseases.

Authors:  David J Roach; Matthew M Willmering; Joseph W Plummer; Laura L Walkup; Yin Zhang; Md Monir Hossain; Zackary I Cleveland; Jason C Woods
Journal:  Acad Radiol       Date:  2021-08-12       Impact factor: 3.173

9.  Hyperpolarized 129Xenon Magnetic Resonance Imaging to Quantify Regional Ventilation Differences in Mild to Moderate Asthma: A Prospective Comparison Between Semiautomated Ventilation Defect Percentage Calculation and Pulmonary Function Tests.

Authors:  Lukas Ebner; Mu He; Rohan S Virgincar; Timothy Heacock; Suryanarayanan S Kaushik; Matthew S Freemann; H Page McAdams; Monica Kraft; Bastiaan Driehuys
Journal:  Invest Radiol       Date:  2017-02       Impact factor: 6.016

Review 10.  Hyperpolarized 129Xe MRI of the human lung.

Authors:  John P Mugler; Talissa A Altes
Journal:  J Magn Reson Imaging       Date:  2013-02       Impact factor: 4.813

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