Evidence map›Paper›PMID 25820494›Full record

ArticleMagnetic resonance in medicine2016

Balanced SSFP-like steady-state imaging using small-tip fast recovery with a spectral prewinding pulse.

Hao Sun, Jeffrey A Fessler, Douglas C Noll, Jon-Fredrik Nielsen

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Hao SunDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan, USA.
Jeffrey A FesslerDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan, USA.
Douglas C NollDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Jon-Fredrik NielsenDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.

Funding

MRI Parallel Excitation for Neuroimaging ApplicationsR01NS058576 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NOLL, DOUGLAS C · 2008 to 2012
$3.0M
MRI Scanner for Functional Brain ImagingS10OD012240 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NOLL, DOUGLAS C · 2012 to 2012
$2.0M
Improved Functional MRI Using Balanced SSFP and Parallel TransmissionR21EB012674 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NIELSEN, JON-FREDRIK · 2011 to 2012
$404k
Toward layer-specific BOLD fMRI in human cortex at 3T using 3D zoomed-EPI and smallip fast-recovery imagingR21EB019653 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NIELSEN, JON-FREDRIK · 2015 to 2016
$401k
NIBIB NIH HHS R21 EB012674NIBIB NIH HHS R21EB012674NIBIB NIH HHS R21 EB019653NIH HHS S10 OD012240NINDS NIH HHS R01 NS058576NINDS NIH HHS R01NS058576
6 · The paper itself

Abstract

purposeSmall-tip fast recovery (STFR) imaging has been proposed recently as a potential alternative to balanced steady-state free precession (bSSFP). STFR relies on a tailored "tip-up" radio-frequency pulse to achieve comparable signal level as bSSFP, but with reduced banding artifacts and transient oscillations, and is compatible with magnetization-preparation pulses. Previous STFR implementations used two-dimensional or three-dimensional pulses spatially tailored to the accumulated phase calculated from a B0 field map, making the steady-state STFR signal contain some T2* weighting. Here, we propose to replace the spatially tailored pulse with a recently introduced spectrally selective "pre-winding" pulse that is precomputed to a target frequency range. The proposed "spectral-STFR" sequence produces T2/T1-weighted images similar to bSSFP, but with reduced banding and potentially other benefits. THEORY AND

methodsWe investigated the steady-state signal properties of spectral-STFR using simulations, and phantom and human volunteer experiments.

resultsOur simulation and experimental results showed that the spectral-STFR sequence has similar signal level and tissue contrast as bSSFP, but has a wider passband and more consistent banding profiles across different tissues (e.g., less hyperintense signal at band edges for low flip angles). Care is needed in designing the spectral radio-frequency pulse to ensure that the small tip angle approximation holds during radio-frequency transmission.

conclusionSpectral-STFR has similar tissue contrast as bSSFP but a wider passband and more consistent cerebrospinal fluid/brain tissue contrast across the passband. The spectral-STFR sequence is a potential alternative to bSSFP in some applications. Compared to a spatially tailored STFR sequence, spectral-STFR can be precomputed, is easier to implement in practice, and potentially has more uniform image contrast and minimal T2* weighting.

Indexed as

AlgorithmsBrainComputer SimulationHealthy VolunteersHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingPhantoms, Imagingbanding artifactbSSFPsteady-state imagingSTFR

Identifiers

PMID25820494
PMCPMC4587989

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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.