Evidence map›Paper›PMID 26678918›Full record

ArticlePloS one2015

Mono-Exponential Fitting in T2-Relaxometry: Relevance of Offset and First Echo.

David Milford, Nicolas Rosbach, Martin Bendszus, Sabine Heiland

Abstract read
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Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

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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

54 citing papers in PubMed.

  1. Trial
  2. Effects of Postmortem Intervals on Quantitative MRI in Unfixed and Fixed Swine Brain: Implications for Ex Vivo MRI Applications.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
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  3. Assessing the Impact of Imaging Parameters on MRI Measurement of Kidney TJournal of magnetic resonance imaging : JMRI · 2026
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  4. Evaluation of end-to-end 3D absorbed dose distribution inEuropean journal of nuclear medicine and molecular imaging · 2026
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  5. Longitudinal MRI Characterization of TNMR in biomedicine · 2026
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  18. Simultaneous high-resolution TMagnetic resonance in medicine · 2022
    Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

David MilfordDepartment of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany.
Nicolas RosbachDepartment of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany.
Martin BendszusDepartment of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany.
Sabine HeilandDepartment of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionT2 relaxometry has become an important tool in quantitative MRI. Little focus has been put on the effect of the refocusing flip angle upon the offset parameter, which was introduced to account for a signal floor due to noise or to long T2 components. The aim of this study was to show that B1 imperfections contribute significantly to the offset. We further introduce a simple method to reduce the systematic error in T2 by discarding the first echo and using the offset fitting approach. MATERIALS AND

methodsSignal curves of T2 relaxometry were simulated based on extended phase graph theory and evaluated for 4 different methods (inclusion and exclusion of the first echo, while fitting with and without the offset). We further performed T2 relaxometry in a phantom at 9.4T magnetic resonance imaging scanner and used the same methods for post-processing as in the extended phase graph simulated data. Single spin echo sequences were used to determine the correct T2 time.

resultsThe simulation data showed that the systematic error in T2 and the offset depends on the refocusing pulse, the echo spacing and the echo train length. The systematic error could be reduced by discarding the first echo. Further reduction of the systematic T2 error was reached by using the offset as fitting parameter. The phantom experiments confirmed these findings.

conclusionThe fitted offset parameter in T2 relaxometry is influenced by imperfect refocusing pulses. Using the offset as a fitting parameter and discarding the first echo is a fast and easy method to minimize the error in T2, particularly for low to intermediate echo train length.

Indexed as

AlgorithmsData Interpretation, StatisticalMagnetic Resonance ImagingPhantoms, Imaging

Identifiers

PMID26678918
PMCPMC4683054

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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.