Evidence map›Paper›PMID 34931714›Full record

ArticleMagnetic resonance in medicine2022

Selective RF excitation designs enabled by time-varying spatially non-linear ΔB

Molin Zhang, Nicolas Arango, Jason P Stockmann, Jacob White, Elfar Adalsteinsson

Abstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Molin ZhangDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID 0000-0003-3852-3184
Nicolas ArangoDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID 0000-0001-9877-3092
Jason P StockmannAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0001-8454-5347
Jacob WhiteDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Elfar AdalsteinssonDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Funding

Advanced Fetal ImagingR01EB017337 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI ADALSTEINSSON, ELFAR, GRANT, PATRICIA ELLEN · 2014 to 2018
$6.2M
Parallel Excitation Methods for High Field MRIR01EB006847 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI WALD, LAWRENCE L · 2007 to 2020
$5.4M
Noninvasive Realtime Assessment of Placental Structure and Function with Novel MR Imaging MethodsU01HD087211 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI GRANT, PATRICIA ELLEN, WALD, LAWRENCE L · 2015 to 2015
$4.9M
Novel MRI Assessment of Placental Structure and Function Throughout PregnancyR01HD100009 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI ADALSTEINSSON, ELFAR, GRANT, PATRICIA ELLEN · 2019 to 2023
$3.6M
NIBIB NIH HHS R01 EB006847NIBIB NIH HHS R01 EB017337NICHD NIH HHS R01 HD100009NICHD NIH HHS U01 HD087211
6 · The paper itself

Abstract

purposeTo demonstrate, through numerical simulations, novel designs of spatially selective radiofrequency (RF) excitations of the fetal brain by both a restricted 2D slice and 3D inner-volume selection. These designs exploit a single-channel RF pulse, conventional gradient fields, and the spatially non-linear ΔB

methodsThe design algorithm jointly optimizes the RF pulse and the time-varying ΔB

resultsExcitation profiles were achieved for both the restricted slice excitation task (one-minus-minimum magnitude, 8%) within the region of interest (ROI) and (maximum-minus-zero magnitude, 8%) in the suppressed regions and the fetal brain volume excitation task (13% and 9%, respectively).

conclusionsThe proposed joint design of RF and time-varying, spatially non-linear ΔB

Indexed as

Magnetic Resonance ImagingRadio WavesAlgorithmsBrainHeart RatePhantoms, Imagingauto-differentiationfetal MRIselective RF excitationtime-varying shim array fields

Identifiers

PMID34931714
PMCPMC8847339

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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.