Evidence map›Paper›PMID 32697869›Full record

ArticleMagnetic resonance in medicine2020

Slice-selective extended phase graphs in gradient-crushed, transient-state free precession sequences: An application to MR fingerprinting.

Jason Ostenson, David S Smith, Mark D Does, Bruce M Damon

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. MR fingerprinting of the prostate.Magma (New York, N.Y.) · 2022
    Review
  6. Article
  7. 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.

Jason OstensonVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-8922-5366
David S SmithVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Mark D DoesVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Bruce M DamonVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
Development and Application of Muscle Diffusion Tensor MRIR01AR073831 · NIAMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DAMON, BRUCE M. · 2019 to 2024
$2.1M
Non-invasive assessment of human brown adipose tissue mass and activityR01DK105371 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DAMON, BRUCE M. · 2015 to 2019
$2.1M
MRI Toolbox for Rodent Brain Microstructure ImagingR01EB019980 · NIBIB · VANDERBILT UNIVERSITY · PI DOES, MARK D · 2016 to 2019
$1.8M
Applying Compressed Sensing to Dynamic Contrast Enhanced MRI of Breast CancerK25CA176219 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SMITH, DAVID S · 2014 to 2019
$720k
NCI NIH HHS K25 CA176219NIAMS NIH HHS R01 AR073831NIBIB NIH HHS R01 EB017230NIBIB NIH HHS R01 EB019980NIDDK NIH HHS R01 DK105371
6 · The paper itself

Abstract

purposeSlice-selective, gradient-crushed, transient-state sequences such as those used in MR fingerprinting (MRF) relaxometry are sensitive to slice profile effects. Whereas balanced steady-state free precession MRF profile effects have been studied, less attention has been given to gradient-crushed MRF forms. Extensions of the extended phase graph (EPG) formalism, called slice-selective EPG (ssEPG), are proposed that model slice profile effects. THEORY AND

methodsThe hard-pulse approximation to slice-selective excitation in the spatial domain is reformulated in k-space. Excitation is modeled by standard EPG shift and transition operators. This ssEPG modeling is validated against Bloch simulations and phantom slice profile measurements. ssEPG relaxometry accuracy and variability are compared with other EPG methods in phantoms and human leg in vivo. The role of ∆B

resultsSimulations and slice profile measurements show that ssEPG can model highly dynamic slice profile effects of gradient-crushed sequences. The MRF ssEPG T

conclusionTransient-state, gradient-crushed sequences such as those used in MRF are sensitive to slice profile effects, and these effects depend on RF pulse choice, gradient crusher strength, and ∆B

Indexed as

AlgorithmsImage Processing, Computer-AssistedBrainHumansMagnetic Resonance ImagingPhantoms, Imagingextended phase graphMR fingerprintingoff-resonancerelaxometryslice profile

Identifiers

PMID32697869
PMCPMC8485742

What OpenQuestion holds

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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.