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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F15%3A00450304" target="_blank" >RIV/68081731:_____/15:00450304 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1186/s12859-015-0796-5" target="_blank" >http://dx.doi.org/10.1186/s12859-015-0796-5</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1186/s12859-015-0796-5" target="_blank" >10.1186/s12859-015-0796-5</a>

Result language

angličtina

Original language name

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

Original language description

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. 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)

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

B M C Bioinformatics

ISSN

1471-2105

e-ISSN

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Volume of the periodical

16

Issue of the periodical within the volume

NOV 9

Country of publishing house

GB - UNITED KINGDOM

Number of pages

11

Pages from-to

378-388

UT code for WoS article

000364364400001

EID of the result in the Scopus database

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