Evidence map›Paper›PMID 31441536›Full record

ArticleMagnetic resonance in medicine2020

Time optimal control-based RF pulse design under gradient imperfections.

Christoph S Aigner, Armin Rund, Samy Abo Seada, Anthony N Price, Joseph V Hajnal, Shaihan J Malik, Karl Kunisch, Rudolf Stollberger

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Optimal control of spin systems.Science advances · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Efficient gradient waveform measurements with variable-prephasing.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2021
    Article
  6. 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

8 authors.

Christoph S AignerInstitute of Medical Engineering, Graz University of Technology, Graz, Austria.ORCID 0000-0003-3618-9610
Armin RundInstitute for Mathematics and Scientific Computing, University of Graz, Graz, Austria.ORCID 0000-0001-7934-4970
Samy Abo SeadaSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.ORCID 0000-0003-3221-433X
Anthony N PriceSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.ORCID 0000-0002-6907-7554
Joseph V HajnalSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Shaihan J MalikSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.ORCID 0000-0001-8925-9032
Karl KunischInstitute for Mathematics and Scientific Computing, University of Graz, Graz, Austria.
Rudolf StollbergerInstitute of Medical Engineering, Graz University of Technology, Graz, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study incorporates a gradient system imperfection model into an optimal control framework for radio frequency (RF) pulse design. THEORY AND

methodsThe joint design of minimum-time RF and slice selective gradient shapes is posed as an optimal control problem. Hardware limitations such as maximal amplitudes for RF and slice selective gradient or its slew rate are included as hard constraints to assure practical applicability of the optimized waveforms. In order to guarantee the performance of the optimized waveform with possible gradient system disturbances such as limited system bandwidth and eddy currents, a measured gradient impulse response function (GIRF) for a specific system is integrated into the optimization.

resultsThe method generates optimized RF and pre-distorted slice selective gradient shapes for refocusing that are able to fully compensate the modeled imperfections of the gradient system under investigation. The results nearly regenerate the optimal results of an idealized gradient system. The numerical Bloch simulations are validated by phantom and in-vivo experiments on 2 3T scanners.

conclusionsThe presented design approach demonstrates the successful correction of gradient system imperfections within an optimal control framework for RF pulse design.

Indexed as

Radio WavesAlgorithmsBrainComputer SimulationEquipment DesignFourier AnalysisHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleModels, StatisticalPhantoms, Imaginggradient imperfectionsgradient impulse response functionpulse designsimultaneous multi-slice excitationtime optimal control

Identifiers

PMID31441536
PMCPMC6899978

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.