Dataset Open Access

EMUE-D5-3-EPTTissueCharacterization

A. Arduino; F. Pennecchi; L. Zilberti; U. Katscher; M. G. Cox


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    "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 &ldquo;Magnetic resonance-based electric properties tomography&rdquo;</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": {
      "id": "CC-BY-4.0"
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    "title": "EMUE-D5-3-EPTTissueCharacterization", 
    "notes": "The example relies on the implementation of phase-based Helmholtz EPT collected in the open-source C++ library EPTlib 0.1.1 (https://eptlib.github.io/), developed in the framework of the EMPIR Project 18HLT05 QUIERO (https://quiero-project.eu/).", 
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    "version": "1.0", 
    "keywords": [
      "Electric Properties Tomography; Magnetic Resonance Imaging; Variance-covariance matrix; Shrinkage estimation; Law of propagation of uncertainty"
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    "publication_date": "2020-11-06", 
    "creators": [
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        "affiliation": "INRIM", 
        "name": "A. Arduino"
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      {
        "affiliation": "INRIM", 
        "name": "F. Pennecchi"
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        "affiliation": "INRIM", 
        "name": "L. Zilberti"
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        "affiliation": "Philips Research Laboratories", 
        "name": "U. Katscher"
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