Evidence map›Paper›PMID 30394582›Full record

ArticleMagnetic resonance in medicine2019

Multi-echo MR thermometry using iterative separation of baseline water and fat images.

Megan E Poorman, Ieva Braškutė, Lambertus W Bartels, William A Grissom

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Technical advances in motion-robust MR thermometry.Magnetic resonance in medicine · 2024
    Review
  5. Article
  6. Article
  7. Phase-independent thermometry by Z-spectrum MR imaging.Magnetic resonance in medicine · 2022
    Article
  8. Review
  9. Article
  10. Article
  11. Review
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.

Megan E PoormanInstitute of Imaging Science, Vanderbilt University, Nashville, Tennessee.
Ieva BraškutėImage Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands.
Lambertus W BartelsImage Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands.
William A GrissomInstitute of Imaging Science, Vanderbilt University, Nashville, Tennessee.

Funding

Training Program for Innovative Engineering Research in Surgery and InterventionT32EB021937 · NIBIB · VANDERBILT UNIVERSITY · PI Dario J Englot, Michael Ian Miga · 2016 to 2026
$2.3M
DoD W81XWH-13-1-0230NIBIB NIH HHS T32 EB021937NIH HHS T32EB021937
6 · The paper itself

Abstract

purposeTo perform multi-echo water/fat separated proton resonance frequency (PRF)-shift temperature mapping.

methodsState-of-the-art, iterative multi-echo water/fat separation algorithms produce high-quality water and fat images in the absence of heating but are not suitable for real-time imaging due to their long compute times and potential errors in heated regions. Existing fat-referenced PRF-shift temperature reconstruction methods partially address these limitations but do not address motion or large time-varying and spatially inhomogeneous B

resultsSimulations in a mixed water/fat phantom with focal heating showed that the proposed algorithm reconstructed more accurate temperature maps in mixed tissues compared to a fat-referenced thermometry method. In a porcine phantom experiment with focused ultrasound heating at 1.5 Tesla, temperature maps were accurate to within 1

conclusionsThe proposed model-based water/fat separated algorithm produces accurate PRF-shift temperature maps in mixed water and fat tissues in the presence of spatiotemporally varying off-resonance and motion.

Indexed as

Adipose TissueAlgorithmsAnimalsBreastComputer SimulationFemaleHealthy VolunteersHeatingHumansImage Processing, Computer-AssistedLiverMagnetic Resonance ImagingModels, StatisticalMotionReproducibility of ResultsSwineWaterfat suppressionproton resonance frequency shifttemperature mappingwater/fat separation

Identifiers

PMID30394582
PMCPMC6550275

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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.