Dataset Open Access
A. Arduino; F. Pennecchi; L. Zilberti; U. Katscher; M. G. Cox
{ "description": "<p>Magnetic resonance-based electric properties tomography</p>\n\n<p>The example shows the uncertainty evaluation, under repeatability conditions, of a technique for Electric Properties Tomography (EPT), a quantitative imaging method based on Magnetic Resonance Imaging (MRI). Repeated acquisitions of MRI scans of a homogeneous cylindrical phantom are analysed with appropriate statistical techniques to evaluate the variance-covariance matrix of the EPT input. The latter is then propagated through the EPT technique according to the law of propagation of the uncertainty as described in the GUM [Activity A2.3.2].</p>\n\n<p>Files contained in the dataset are:</p>\n\n<ul>\n\t<li>ReadMe: text file describing the EMUE-D5-3-EPTTissueCharacterization dataset</li>\n\t<li>A232_Report.pdf: Report “Magnetic resonance-based electric properties tomography”</li>\n\t<li>A232_Report.tex: LaTeX file to be compiled in order to produce A232_Report.pdf</li>\n\t<li>CompendiumA232.bib: bibliography file</li>\n\t<li>kernel-shapes.png: plot in figure 1 of A232_Report.pdf</li>\n\t<li>acquired-maps.png: plot in figure 2 of A232_Report.pdf</li>\n\t<li>input-cov-pixel.png: plot in figure 3 of A232_Report.pdf</li>\n\t<li>output-cov.png: plot in figure 4 of A232_Report.pdf</li>\n\t<li>output-distr.png: plot in figure 5 of A232_Report.pdf</li>\n\t<li>code: directory containing the computational codes for the EPT software (C++) and post-processing (matlab)</li>\n\t<li>code/averages.m: matlab code that computes the averages, the weighted averages and the corresponding uncertainties</li>\n\t<li>code/CMakeLists.txt: cmake project for building the EPT software</li>\n\t<li>code/main.cc: C++ source file of the EPT software</li>\n\t<li>code/main.h: C++ header file of the EPT software</li>\n\t<li>data: directory containing the input and the output data of the EPT software</li>\n\t<li>data/emue-[0-2]-[1-5].toml: input configuration files for the EPT software</li>\n\t<li>data/emue-sphere.h5: input dataset of scans for the EPT software</li>\n\t<li>data/emue-sphere-scov.h5: input dataset of variance-covariance matrix computed with shrinkage estimation for the EPT software</li>\n\t<li>data/emue-[0-2]-[1-5].log: output log files of the EPT software</li>\n\t<li>data/emue-[0-2]-[1-5]-output.h5: output dataset files of the EPT software</li>\n</ul>", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "creator": [ { "affiliation": "INRIM", "@type": "Person", "name": "A. Arduino" }, { "affiliation": "INRIM", "@type": "Person", "name": "F. Pennecchi" }, { "affiliation": "INRIM", "@type": "Person", "name": "L. Zilberti" }, { "affiliation": "Philips Research Laboratories", "@type": "Person", "name": "U. Katscher" }, { "affiliation": "NPL", "@type": "Person", "name": "M. G. Cox" } ], "url": "https://zenodo.org/record/4248879", "datePublished": "2020-11-06", "version": "1.0", "keywords": [ "Electric Properties Tomography; Magnetic Resonance Imaging; Variance-covariance matrix; Shrinkage estimation; Law of propagation of uncertainty" ], "@context": "https://schema.org/", "distribution": [ { "contentUrl": "https://zenodo.org/api/files/b805bc59-11f8-408c-ac74-103c31d6b051/EMUE-D5-3-EPTTissueCharacterization.zip", "encodingFormat": "zip", "@type": "DataDownload" } ], "identifier": "https://doi.org/10.5281/zenodo.4248879", "@id": "https://doi.org/10.5281/zenodo.4248879", "@type": "Dataset", "name": "EMUE-D5-3-EPTTissueCharacterization" }
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Data volume | 83.7 GB | 83.7 GB |
Unique views | 253 | 253 |
Unique downloads | 15 | 15 |