Dataset Open Access

3D Dataset "Computation of Exact g-Factor Maps in 3D GRAPPA Reconstructions"

Rabanillo, Iñaki; Zhu, Ante; Aja-Fernández, Santiago; Alberola-López, Carlos; Hernando, Diego


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    "description": "<p>Datasets used in the paper entitled &quot;&quot;, containing the following acquisitions:</p>\n\n<p>&nbsp;&nbsp;&nbsp; <strong>1) Simulated abdomen data set</strong>: we have synthetized a 3D volume using the simulation environment XCAT based on the extended cardio-torso phantom. We simulated a T1-weighted acquisition using the following acquisition parameters: TE/TR=1.5/3ms, flip angle=60&ordm;, acquisition matrix size=60x60x32. A 32-coil acquisition was simulated by modulating the image using artificial sensitivity maps coded for each coil. The noise-free coil images were transformed into the \\bk--space and corrupted with synthetic Gaussian noise characterized by the matrices <span class=\"math-tex\">\\(\\Gamma_k\\)</span>and&nbsp;<span class=\"math-tex\">\\(C_k\\)</span> with SNR=25 for each coil, and the correlation coefficient between coils was set to <span class=\"math-tex\">\\(\\rho\\)</span>=0.1$. For statistical purposes, 4000 realizations of each image were used.</p>\n\n<p><br>\n&nbsp;&nbsp;&nbsp; <strong>2) Water phantom acquisition</strong>: A MR phantom sphere with solution (GE Medical Systems, Milwaukee, WI) was scanned in a 32-channel head coil on a 3.0T scanner (MR750, GE Healthcare, Waukesha, WI). A spoiled gradient-echo acquisition with 100 realizations of the same fully-encoded k-space sampling was used. Acquisition parameters included: coronal view, TE/TR=0.96/3.69ms, flip angle=12&ordm;, field of view=22x22$x30.7<span class=\"math-tex\">\\(cm\u00b3\\)</span>, acquisition matrix size=60x60x32, bandwidth=62.5KHz. We corrected for <span class=\"math-tex\">\\(B_0\\)</span> field drift related phase variations and magnitude decay by a pre-processing step. First we estimated the phase-shift between realizations from the center of the k-space as a cubic function of time and removed it afterwards. And, second, we estimated the magnitude-decay in the k-space as a linear function and substracted it in order not to affect the noise.</p>\n\n<p><br>\n&nbsp;&nbsp;&nbsp; <strong>3) In vivo acquisition</strong>: in order to assess the feasibility of the proposed method, after obtaining the approval fo the local institutional review board (IRB), a volunteer was scanned in a 32-channel head coil on a 3.0T scanner (MR750, GE Healthcare, Waukesha, WI). A spoiled gradient-echo acquisition of a fully-encoded \\bk--space sampling was used. Acquisition parameters included: coronal view, TE/TR=2.2/5.7ms, flip angle=12&ordm;,field of view=22x22x22<span class=\"math-tex\">\\(cm\u00b3\\)</span>, matrix size=220x220x220, bandwidth=62.5$KHz.</p>", 
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      "id": "CC-BY-SA-4.0"
    }, 
    "title": "3D Dataset \"Computation of Exact g-Factor Maps in 3D GRAPPA Reconstructions\"", 
    "notes": "The authors acknowledge MICIN for grants TEC2013-44194P, TEC 2014-57428 and TEC2017-82408-R, as well as Junta de Castilla y Le\u00f3n for grant VA069U16. The first author acknowledges MINECO for FPI grant BES-2014-069524.", 
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    "keywords": [
      "Phantom", 
      "MRI", 
      "Noise", 
      "GRAPPA", 
      "Parallel Imaging"
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    "publication_date": "2018-06-05", 
    "creators": [
      {
        "orcid": "0000-0001-5309-6446", 
        "affiliation": "Universidad de Valladolid", 
        "name": "Rabanillo, I\u00f1aki"
      }, 
      {
        "affiliation": "University of Wisconsin-Madison", 
        "name": "Zhu, Ante"
      }, 
      {
        "affiliation": "Universidad de Valladolid", 
        "name": "Aja-Fern\u00e1ndez, Santiago"
      }, 
      {
        "affiliation": "Universidad de VAlladolid", 
        "name": "Alberola-L\u00f3pez, Carlos"
      }, 
      {
        "affiliation": "University of Wisconsin-Madison", 
        "name": "Hernando, Diego"
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