From raw data to data-analysis for magnetic resonance spectroscopy – the missing link: jMRUI2XML

Background Magnetic resonance spectroscopy provides metabolic information about living tissues in a non-invasive way. However, there are only few multi-centre clinical studies, mostly performed on a single scanner model or data format, as there is no flexible way of documenting and exchanging processed magnetic resonance spectroscopy data in digital format. This is because the DICOM standard for spectroscopy deals with unprocessed data. This paper proposes a plugin tool developed for jMRUI, namely jMRUI2XML, to tackle the latter limitation. jMRUI is a software tool for magnetic resonance spectroscopy data processing that is widely used in the magnetic resonance spectroscopy community and has evolved into a plugin platform allowing for implementation of novel features. Results jMRUI2XML is a Java solution that facilitates common preprocessing of magnetic resonance spectroscopy data across multiple scanners. Its main characteristics are: 1) it automates magnetic resonance spectroscopy preprocessing, and 2) it can be a platform for outputting exchangeable magnetic resonance spectroscopy data. The plugin works with any kind of data that can be opened by jMRUI and outputs in extensible markup language format. Data processing templates can be generated and saved for later use. The output format opens the way for easy data sharing- due to the documentation of the preprocessing parameters and the intrinsic anonymization - for example for performing pattern recognition analysis on multicentre/multi-manufacturer magnetic resonance spectroscopy data. Conclusions jMRUI2XML provides a self-contained and self-descriptive format accounting for the most relevant information needed for exchanging magnetic resonance spectroscopy data in digital form, as well as for automating its processing. This allows for tracking the procedures the data has undergone, which makes the proposed tool especially useful when performing pattern recognition analysis. Moreover, this work constitutes a first proposal for a minimum amount of information that should accompany any magnetic resonance processed spectrum, towards the goal of achieving better transferability of magnetic resonance spectroscopy studies. Electronic supplementary material The online version of this article (doi:10.1186/s12859-015-0796-5) contains supplementary material, which is available to authorized users.

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PID https://www.doi.org/10.1186/s12859-015-0796-5
PID pmid:26552737
PID pmc:PMC4640235
URL https://eprints.keele.ac.uk/1124/1/olier_s12859-015-0796-5.pdf
URL https://link.springer.com/content/pdf/10.1186%2Fs12859-015-0796-5.pdf
URL https://dx.doi.org/10.1186/s12859-015-0796-5
URL http://europepmc.org/articles/PMC4640235
URL http://link.springer.com/content/pdf/10.1186/s12859-015-0796-5.pdf
URL https://www.muni.cz/vyzkum/publikace/1393124
URL https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640235/
URL http://researchonline.ljmu.ac.uk/id/eprint/2322/1/s12859-015-0796-5.pdf
URL http://dx.doi.org/10.1186/s12859-015-0796-5
URL https://link.springer.com/article/10.1186/s12859-015-0796-5
URL https://dblp.uni-trier.de/db/journals/bmcbi/bmcbi16.html#MocioiuOOJSLAJ15
URL http://link.springer.com/article/10.1186/s12859-015-0796-5/fulltext.html
URL http://europepmc.org/abstract/PMC/PMC4640235
URL http://e-space.mmu.ac.uk/617949/
URL https://uab.elsevierpure.com/ca/publications/from-raw-data-to-data-analysis-for-magnetic-resonance-spectroscop
URL http://researchonline.ljmu.ac.uk/id/eprint/2322/
URL http://ddd.uab.cat/record/170835
URL https://paperity.org/p/74586301/from-raw-data-to-data-analysis-for-magnetic-resonance-spectroscopy-the-missing-link
URL https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-015-0796-5
URL https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0796-5
URL http://researchonline.ljmu.ac.uk/2322/1/s12859-015-0796-5.pdf
URL https://academic.microsoft.com/#/detail/2146292826
URL https://www.research.manchester.ac.uk/portal/en/publications/from-raw-data-to-dataanalysis-for-magnetic-resonance-spectroscopy--the-missing-link(aa61258b-de37-4c7c-b1f2-a65845814bd0).html
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Access Right Open Access
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Author Margarida Julià-Sapé, 0000-0002-3316-9027
Author Carles Arus, 0000-0003-2510-2671
Author Ivan Olier, 0000-0002-5679-7501
Author Sandra Ortega-Martorell, 0000-0001-9927-3209
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Collected From Europe PubMed Central; PubMed Central; ORCID; UnpayWall; Datacite; Crossref; e-space at Manchester Metropolitan University; Microsoft Academic Graph; CORE (RIOXX-UK Aggregator); Diposit Digital de Documents de la UAB
Hosted By LJMU Research Online; Europe PubMed Central; SpringerOpen; BMC Bioinformatics; e-space at Manchester Metropolitan University; Keele Research Repository; Diposit Digital de Documents de la UAB
Publication Date 2015-11-09
Publisher BMC Bioinformatics
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Country United Kingdom; Spain
Format application/pdf; text
Language English
Resource Type Article; UNKNOWN
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::bbcf9c51080c392c1f752a5a92c94606
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Last Updated 26 December 2020, 11:12 (CET)
Created 26 December 2020, 11:12 (CET)