Evidence map›Paper›PMID 28386427›Full record

ArticleRoyal Society open science2017

Workshop on reconstruction schemes for magnetic resonance data: summary of findings and recommendations.

Esin Ozturk-Isik, Ian Marshall, Patryk Filipiak, Arnold J V Benjamin, Valia Guerra Ones, Rafael Ortiz Ramón, Maria Del C Valdés Hernández

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 5 institutions in 5 countries.

Esin Ozturk-IsikInstitute of Biomedical Engineering , Bogazici University , Istanbul , Turkey.
Ian MarshallDepartment of Neuroimaging Sciences, Centre for Clinical Brain Sciences , University of Edinburgh , Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB , UK.
Patryk FilipiakInstitute of Computer Science , University of Wroclaw , Wroclaw , Poland.
Arnold J V BenjaminDepartment of Neuroimaging Sciences, Centre for Clinical Brain Sciences , University of Edinburgh , Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB , UK.
Valia Guerra OnesInstitute of Applied Mathematics , Delft University of Technology , The Hague , Netherlands.
Rafael Ortiz RamónCentre for Biomaterials and Tissue Engineering , Universitat Politècnica de València , Valencia , Spain.
Maria Del C Valdés HernándezDepartment of Neuroimaging Sciences, Centre for Clinical Brain Sciences , University of Edinburgh , Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB , UK.ORCID 0000-0003-2771-6546
University of Edinburgh · GBBoğaziçi University · TRDelft University of Technology · NLUniversitat Politècnica de València · ESUniversity of Wrocław · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high-fidelity reconstruction of compressed and low-resolution magnetic resonance (MR) data is essential for simultaneously improving patient care, accuracy in diagnosis and quality in clinical research. Sponsored by the Royal Society through the Newton Mobility Grant Scheme, we held a half-day workshop on reconstruction schemes for MR data on 17 August 2016 to discuss new ideas from related research fields that could be useful to overcome the shortcomings of the conventional reconstruction methods that have been evaluated to date. Participants were 21 university students, computer scientists, image analysts, engineers and physicists from institutions from six different countries. The discussion evolved around exploring new avenues to achieve high resolution, high quality and fast acquisition of MR imaging. In this article, we summarize the topics covered throughout the workshop and make recommendations for ongoing and future works.

Indexed as

compressed sensingimage qualityimage reconstructionmagnetic resonance imagingmagnetic resonance spectroscopysuper-resolution

Identifiers

PMID28386427
PMCPMC5367301
OpenAlexW2588012196

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.