Evidence map›Paper›PMID 35506520›Full record

ArticleMagnetic resonance in medicine2022

Bias field correction in hyperpolarized

Junlan Lu, Ziyi Wang, Elianna Bier, Suphachart Leewiwatwong, David Mummy, Bastiaan Driehuys

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 16 citations in OpenAlex.

  1. Focal-DenseNet: A Risk Assessment Framework for Alzheimer's Disease in Heterogeneous MRI Data.Interdisciplinary sciences, computational life sciences · 2026
    Article
  2. Article
  3. Article
  4. Functional Pulmonary Imaging.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Magnetic resonance in medicine · 2025
    Article
  9. Analytical corrections for BMagnetic resonance in medicine · 2024
    Article
  10. Current methods for hyperpolarized [1-Magnetic resonance in medicine · 2024
    Review
  11. Review
  12. Functional gas exchange measures onFrontiers in medicine · 2024
    Article
  13. Hyperpolarized [2-NeuroImage · 2023
    Article
  14. BMagnetic resonance in medicine · 2023
    Article
  15. HyperpolarizedAcademic radiology · 2022
    Article
  16. HyperpolarizedRespiratory medicine
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Junlan LuMedical Physics Graduate Program, Duke University, Durham, North Carolina, USA.ORCID 0000-0001-5023-7901
Ziyi WangBiomedical Engineering, Duke University, Durham, North Carolina, USA.
Elianna BierBiomedical Engineering, Duke University, Durham, North Carolina, USA.ORCID 0000-0002-2313-3450
Suphachart LeewiwatwongBiomedical Engineering, Duke University, Durham, North Carolina, USA.
David MummyDepartment of Radiology, Duke University Medical Center, Durham, North Carolina, USA.ORCID 0000-0001-7885-109X
Bastiaan DriehuysMedical Physics Graduate Program, Duke University, Durham, North Carolina, USA.
Duke University · USDuke Medical Center · US

Funding

Early Detection of Changes in Pulmonary Gas Exchange by Hyperpolarized Xe MRIR01HL105643 · NHLBI · DUKE UNIVERSITY · PI Bastiaan Driehuys · 2011 to 2026
$6.7M
Using MRI To Visualize Regional Therapy Response In Idiopathic Pulmonary FibrosisR01HL126771 · NHLBI · DUKE UNIVERSITY · PI Bastiaan Driehuys · 2015 to 2026
$6.6M
NHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS R01 HL105643NHLBI NIH HHS R01 HL126771
6 · The paper itself

Abstract

purposeTo correct for RF inhomogeneity for in vivo

methodsRF-depolarization mapping was evaluated first in digital simulations and then in 51 subjects who had undergone radial

resultsRF-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).

conclusionsRandomized 3D

Indexed as

Magnetic Resonance ImagingXenon IsotopesAlgorithmsHumansLungRespirationXenon Isotopesbias field correctionhyperpolarized 129Xe MRIventilation defect percentage

Identifiers

PMID35506520
PMCPMC9248357
OpenAlexW4229014319

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.