Dataset Open Access

EMUE-D5-3-EPTTissueCharacterization

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


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    <dct:title>EMUE-D5-3-EPTTissueCharacterization</dct:title>
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    <dcat:keyword>Electric Properties Tomography; Magnetic Resonance Imaging; Variance-covariance matrix; Shrinkage estimation; Law of propagation of uncertainty</dcat:keyword>
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    <dct:description>&lt;p&gt;Magnetic resonance-based electric properties tomography&lt;/p&gt; &lt;p&gt;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].&lt;/p&gt; &lt;p&gt;Files contained in the dataset are:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;ReadMe: text file describing the EMUE-D5-3-EPTTissueCharacterization dataset&lt;/li&gt; &lt;li&gt;A232_Report.pdf: Report &amp;ldquo;Magnetic resonance-based electric properties tomography&amp;rdquo;&lt;/li&gt; &lt;li&gt;A232_Report.tex: LaTeX file to be compiled in order to produce A232_Report.pdf&lt;/li&gt; &lt;li&gt;CompendiumA232.bib: bibliography file&lt;/li&gt; &lt;li&gt;kernel-shapes.png: plot in figure 1 of A232_Report.pdf&lt;/li&gt; &lt;li&gt;acquired-maps.png: plot in figure 2 of A232_Report.pdf&lt;/li&gt; &lt;li&gt;input-cov-pixel.png: plot in figure 3 of A232_Report.pdf&lt;/li&gt; &lt;li&gt;output-cov.png: plot in figure 4 of A232_Report.pdf&lt;/li&gt; &lt;li&gt;output-distr.png: plot in figure 5 of A232_Report.pdf&lt;/li&gt; &lt;li&gt;code: directory containing the computational codes for the EPT software (C++) and post-processing (matlab)&lt;/li&gt; &lt;li&gt;code/averages.m: matlab code that computes the averages, the weighted averages and the corresponding uncertainties&lt;/li&gt; &lt;li&gt;code/CMakeLists.txt: cmake project for building the EPT software&lt;/li&gt; &lt;li&gt;code/main.cc: C++ source file of the EPT software&lt;/li&gt; &lt;li&gt;code/main.h: C++ header file of the EPT software&lt;/li&gt; &lt;li&gt;data: directory containing the input and the output data of the EPT software&lt;/li&gt; &lt;li&gt;data/emue-[0-2]-[1-5].toml: input configuration files for the EPT software&lt;/li&gt; &lt;li&gt;data/emue-sphere.h5: input dataset of scans for the EPT software&lt;/li&gt; &lt;li&gt;data/emue-sphere-scov.h5: input dataset of variance-covariance matrix computed with shrinkage estimation for the EPT software&lt;/li&gt; &lt;li&gt;data/emue-[0-2]-[1-5].log: output log files of the EPT software&lt;/li&gt; &lt;li&gt;data/emue-[0-2]-[1-5]-output.h5: output dataset files of the EPT software&lt;/li&gt; &lt;/ul&gt;</dct:description>
    <dct:description>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/).</dct:description>
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