Evidence map›Paper›PMID 30761599›Full record

ArticleMagnetic resonance in medicine2019

Patient specific prospective respiratory motion correction for efficient, free-breathing cardiovascular MRI.

Michael A Bush, Rizwan Ahmad, Ning Jin, Yingmin Liu, Orlando P Simonetti

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Free-breathing simultaneous native myocardial T1, T2 and T1ρ mapping with Cartesian acquisition and dictionary matching.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Article
  5. Article
  6. Quantitative susceptibility mapping (QSM) of the cardiovascular system: challenges and perspectives.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
    Review
  7. Accelerated cardiac TJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. 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

5 authors.

Michael A BushBiomedical Engineering, The Ohio State University, Columbus, Ohio.ORCID 0000-0003-4326-843X
Rizwan AhmadBiomedical Engineering, The Ohio State University, Columbus, Ohio.
Ning JinCardiovascular MR R&D, Siemens Medical Solutions USA Inc, Columbus, Ohio.
Yingmin LiuDorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio.
Orlando P SimonettiBiomedical Engineering, The Ohio State University, Columbus, Ohio.

Funding

The Ohio State University Center for Clinical and Translational ScienceTL1TR001069 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$763k
Prospective Slice Tracking for Cardiac MRIR21EB026657 · NIBIB · OHIO STATE UNIVERSITY · PI AHMAD, RIZWAN, SIMONETTI, ORLANDO PAUL · 2018 to 2019
$409k
NCATS NIH HHS TL1 TR001069NIBIB NIH HHS R21 EB026657
6 · The paper itself

Abstract

purposeTo develop a patient-specific respiratory motion correction technique with true 100% acquisition efficiency.

methodsA short training scan consisting of a series of single heartbeat images, each acquired with a preceding diaphragmatic navigator, was performed to fit a model relating the patient-specific 3D respiratory motion of the heart-to-diaphragm position. The resulting motion model was then used to update the imaging plane in real-time to correct for translational motion based on respiratory position provided by the navigator. The method was tested in a group of 11 volunteers with 5 separate free-breathing acquisitions: FB, no motion correction; FB-TF, free breathing with a linear tracking factor; Nav Gate, navigator gating; Nav Gate-TF, navigator gating with a tracking factor; and PROCO, prospective motion correction (proposed). Each acquisition lasted for 50 accepted heartbeats, where non-gated scans had a 100% acceptance rate, and gated scans accepted data only within a ±4 mm navigator window. Retrospective image registration was used to measure residual motion and determine the effectiveness of each method.

resultsPROCO reduced the range/RMSE of residual motion to 4.08 ± 1.4/0.90 ± 0.3 mm, compared to 10.78 ± 6.9/2.97 ± 2.2 mm for FB, 5.32 ± 2.92/1.24 ± 0.8 mm for FB-TF, 4.08 ± 1.6/0.93 ± 0.4 mm for Nav Gate, and 2.90 ± 1.0/0.63 ± 0.2 mm for Nav Gate-TF. Nav Gate and Nav Gate-TF reduced scan efficiency to 48.84 ± 9.31% and 54.54 ± 10.12%, respectively.

conclusionPROCO successfully limited the residual motion in single-shot imaging to the level of traditional navigator gating while maintaining 100% acquisition efficiency.

Indexed as

Patient-Specific ModelingAdultCardiac Imaging TechniquesFemaleHeartHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMovementRespiratory-Gated Imaging TechniquesYoung Adultcardiovascular MRImotion correctionprospective motion correctionrespiratory motion

Identifiers

PMID30761599
PMCPMC6814292

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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.