Evidence map›Paper›PMID 26991525›Full record

ArticleMagnetic resonance in medicine2017

Simultaneous multi-angular relaxometry of tissue with MRI (SMART MRI): Theoretical background and proof of concept.

Alexander L Sukstanskii, Jie Wen, Anne H Cross, Dmitriy A Yablonskiy

Abstract readEvaluation Study
In one paragraph

Article in Magnetic resonance in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Phase-sensitive BMagnetic resonance in medicine · 2018
    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.

Alexander L SukstanskiiDepartment of Radiology, Washington University, St. Louis, Missouri, USA.
Jie WenDepartment of Radiology, Washington University, St. Louis, Missouri, USA.
Anne H CrossDepartment of Radiology, Washington University, St. Louis, Missouri, USA.
Dmitriy A YablonskiyDepartment of Radiology, Washington University, St. Louis, Missouri, USA.

Funding

In vivo MRI Biomarkers of Microstructural Correlates of Brain Pathology in Preclinical and Early Alzheimer DiseaseR01AG054513 · NIA · WASHINGTON UNIVERSITY · PI YABLONSKIY, DMITRIY A · 2017 to 2021
$2.7M
QUANTITATIVE BOLD CONTRAST IN HEALTH AND DISEASER01NS055963 · NINDS · WASHINGTON UNIVERSITY · PI YABLONSKIY, DMITRIY A · 2008 to 2012
$1.6M
NIA NIH HHS R01 AG054513NINDS NIH HHS R01 NS055963
6 · The paper itself

Abstract

purposeAccurate measurement of tissue-specific relaxation parameters is an ultimate goal of quantitative MRI. The objective of this study is to introduce a new technique, simultaneous multiangular relaxometry of tissue with MRI (SMART MRI), which provides naturally coregistered quantitative spin density, longitudinal and transverse relaxation rate constant maps along with parameters characterizing magnetization transfer (MT) effects. THEORY AND

methodsSMART MRI is based on a gradient-recalled echo MRI sequence with multiple flip angles and multiple gradient echoes and a derived theoretical expression for the MR signal generated in this experimental conditions. The theory, based on Bloch-McConnell equations, takes into consideration cross-relaxation between two water pools: "free" and "bound" to macromolecules. It describes the role of cross-relaxation effects in formation of longitudinal and transverse relaxation of "free" water signal, thus providing background for measurements of these effects without using MT pulses. Bayesian analysis is used to optimize SMART MRI sequence parameters.

resultsData obtained on three participants demonstrate feasibility of the proposed approach.

conclusionSMART MRI provides quantitative measurements of longitudinal and transverse relaxation rate constants of "free" water signal affected by cross-relaxation effects. It also provides information on some essential MT parameters without requiring off-resonance MT pulses. Magn Reson Med 77:1296-1306, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Indexed as

AlgorithmsModels, StatisticalBayes TheoremComputer SimulationFeasibility StudiesImage Interpretation, Computer-AssistedMagnetic Resonance ImagingPilot ProjectsReproducibility of ResultsSensitivity and Specificitygradient echomagnetization transferMRIsteady stateT1 relaxationT2* relaxationvariable flip angles

Identifiers

PMID26991525
PMCPMC6383714

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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.