Evidence map›Paper›PMID 26968710›Full record

ArticleMagnetic resonance in medicine2017

Robust diffusion tensor imaging by spatiotemporal encoding: Principles and in vivo demonstrations.

Eddy Solomon, Gilad Liberman, Noam Nissan, Lucio Frydman

Open access · greenAbstract read
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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. FastMagnetic resonance letters · 2024
    Article
  3. Article
  4. Nonparametric 5D D-RJournal of magnetic resonance (San Diego, Calif. : 1997) · 2022
    Article
  5. Review
  6. Article
  7. High-Resolution 3DFrontiers in neuroscience · 2020
    Article
  8. 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 at 1 institution in 1 country.

Eddy SolomonDepartment of Chemical Physics, Weizmann Institute of Science, Rehovot, Israel.
Gilad LibermanDepartment of Chemical Physics, Weizmann Institute of Science, Rehovot, Israel.
Noam NissanDepartment of Chemical Physics, Weizmann Institute of Science, Rehovot, Israel.
Lucio FrydmanDepartment of Chemical Physics, Weizmann Institute of Science, Rehovot, Israel.
Weizmann Institute of Science · IL

Funding

European Research Council 633888
6 · The paper itself

Abstract

purposeEvaluate the usefulness of single-shot and of interleaved spatiotemporally encoded (SPEN) methods to perform diffusion tensor imaging (DTI) under various preclinical and clinical settings.

methodsA formalism for analyzing SPEN DTI data is presented, tailored to account for the spatially dependent b-matrix weightings introduced by the sequence's use of swept pulses acting while in the presence of field gradients. Using these b-matrix calculations, SPEN's ability to deliver DTI measurements was tested on phantoms as well as ex vivo and in vivo. In the latter case, DTI involved scans on mice brains and on human lactating breasts.

resultsFor both ex vivo and in vivo investigations, SPEN data proved less sensitive to distortions arising from B

conclusionThe robustness of SPEN-based sequences vis-à-vis field instabilities and heterogeneities, enables the implementation of DTI experiments with good sensitivity and resolution even in challenging environments in both preclinical and clinical settings. Magn Reson Med 77:1124-1133, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Indexed as

Signal Processing, Computer-AssistedAlgorithmsAnimalsBrainBreastDiffusion Tensor ImagingFemaleImage EnhancementImage Interpretation, Computer-AssistedMiceReproducibility of ResultsSensitivity and Specificitybrain DTIbreast DTIb-value calculationsdiffusion-tensor imaging - DTIspatiotemporal encoding - SPEN

Identifiers

PMID26968710
PMCPMC5270884
OpenAlexW2294765974

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.