Evidence map›Paper›PMID 30426583›Full record

ArticleMagnetic resonance in medicine2019

IMPULSE: A scalable algorithm for design of minimum specific absorption rate parallel transmit RF pulses.

Mihir Pendse, Riccardo Stara, Mohammad Mehdi Khalighi, Brian Rutt

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Parallel Transmission for Ultrahigh Field MRI.Topics in magnetic resonance imaging : TMRI · 2019
    Review
  9. 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

4 authors.

Mihir PendseStanford University, Department of Radiology, Stanford, California.
Riccardo StaraStanford University, Department of Radiology, Stanford, California.
Mohammad Mehdi KhalighiGE Healthcare, Applied Sciences Lab, Menlo Park, California.
Brian RuttStanford University, Department of Radiology, Stanford, California.

Funding

Training and DisseminationP41EB015891 · NIBIB · STANFORD UNIVERSITY · PI GLOVER, GARY H · 2012 to 2019
$10.7M
Elementary Neuronal Ensembles to Whole Brain Networks: Ultrahigh Resolution Imaging of Function and Connectivity in Humans - SUPPLEMENTU01EB025144 · NIBIB · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2017 to 2022
$9.7M
Predoctoral Training in Biomedical Imaging at Stanford UniversityT32EB009653 · NIBIB · STANFORD UNIVERSITY · PI BUTTS-PAULY, KIM · 2010 to 2019
$2.1M
Next Generation 7T MRI Platform Upgrade with Parallel Transmit CapabilitiesS10RR026351 · NCRR · STANFORD UNIVERSITY · PI RUTT, BRIAN KEITH · 2011 to 2011
$600k
NCRR NIH HHS S10 RR026351NIBIB NIH HHS P41 EB015891NIBIB NIH HHS T32 EB009653NIBIB NIH HHS U01 EB025144NIH HHS NIH 1 U01 EB025144-01NIH HHS NIH P41 EB015891NIH HHS SIO RR026351-01AI
6 · The paper itself

Abstract

purposeManaging local specific absorption rate (SAR) in parallel transmission requires ensuring that the peak SAR over a large number of voxels (> THEORY AND

methodsIMPULSE optimizes parallel transmit pulses for small-tip-angle slice selective excitation to minimize a single cost function incorporating multiple quantities (local SAR, global SAR, and per-channel power) averaged over the entire multislice scan subject to a strict constraint on excitation accuracy. Pulses for an 8-channel 7T head coil were designed with IMPULSE and compared with pulses designed using generic optimization algorithms and VOPs to assess the computation time and SAR performance benefits.

resultsIMPULSE achieves lower SAR and shorter computation time compared with a VOP approach. Compared with the generic sequential quadratic programming algorithm, computation time is reduced by a factor of 5-6 by using IMPULSE. Using as many as 6 million local SAR terms, up to 120 slices can be designed jointly with IMPULSE within 45 s.

conclusionsIMPULSE can handle significantly larger number of SAR matrices and slices than conventional optimization algorithms, enabling the use of uncompressed or partially compressed SAR matrices to design pulses for a multislice scan in a practical time frame.

Indexed as

Magnetic Resonance ImagingRadio WavesAlgorithmsBrainComputer SimulationHumansImage EnhancementImage Interpretation, Computer-AssistedModels, TheoreticalPhantoms, ImagingReproducibility of ResultsRiskSensitivity and SpecificitySoftwarehigh fieldparallel transmitspecific absorption rate

Identifiers

PMID30426583
PMCPMC6372346

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Registered trials

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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.