1283312
doi
10.5281/zenodo.1283312
oai:zenodo.org:1283312
Zhu, Ante
University of Wisconsin-Madison
Aja-Fernández, Santiago
Universidad de Valladolid
Alberola-López, Carlos
Universidad de VAlladolid
Hernando, Diego
University of Wisconsin-Madison
3D Dataset "Computation of Exact g-Factor Maps in 3D GRAPPA Reconstructions"
Rabanillo, Iñaki
Universidad de Valladolid
info:eu-repo/semantics/openAccess
Creative Commons Attribution Share Alike 4.0 International
https://creativecommons.org/licenses/by-sa/4.0/legalcode
Phantom
MRI
Noise
GRAPPA
Parallel Imaging
<p>Datasets used in the paper entitled "", containing the following acquisitions:</p>
<p> <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=60º, 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 <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$. For statistical purposes, 4000 realizations of each image were used.</p>
<p><br>
<strong>2) Water phantom acquisition</strong>: A MR phantom sphere with solution (GE Medical Systems, Milwaukee, WI) was scanned in a 32-channel head coil on a 3.0T scanner (MR750, GE Healthcare, Waukesha, WI). A spoiled gradient-echo acquisition with 100 realizations of the same fully-encoded k-space sampling was used. Acquisition parameters included: coronal view, TE/TR=0.96/3.69ms, flip angle=12º, field of view=22x22$x30.7<span class="math-tex">\(cm³\)</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>
<p><br>
<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=12º,field of view=22x22x22<span class="math-tex">\(cm³\)</span>, matrix size=220x220x220, bandwidth=62.5$KHz.</p>
The authors acknowledge MICIN for grants TEC2013-44194P, TEC 2014-57428 and TEC2017-82408-R, as well as Junta de Castilla y León for grant VA069U16. The first author acknowledges MINECO for FPI grant BES-2014-069524.
Zenodo
2018-06-05
info:eu-repo/semantics/other
1283311
1579893981.393264
18812363368
md5:0d982b41a2f3cd19c56b1038512c1361
https://zenodo.org/records/1283312/files/Data3D.zip
public
10.5281/zenodo.1283311
isVersionOf
doi