An Automatic Neuroimaging Infrastructure For Synthesis and Analysis of Structural MRI Data

<p>We&nbsp;&nbsp;&nbsp; have&nbsp;&nbsp;&nbsp; designed,&nbsp;&nbsp;&nbsp; implemented&nbsp;&nbsp;&nbsp; and&nbsp;&nbsp;&nbsp; distributed&nbsp;&nbsp;&nbsp; a&nbsp;&nbsp;&nbsp; fully&nbsp; automatic&nbsp;&nbsp;&nbsp; neuroimaging&nbsp;&nbsp;&nbsp; infrastructure&nbsp; for&nbsp; the&nbsp; synthesis&nbsp; and analysis of structural&nbsp; magnetic resonance imaging (MRI) data.&nbsp; &nbsp;The&nbsp; framework&nbsp; provides&nbsp; a&nbsp; concrete&nbsp; environment&nbsp; for&nbsp; the quantitative&nbsp; validation&nbsp; of&nbsp; various methods&nbsp; for&nbsp; the analysis&nbsp; of&nbsp; brain&nbsp; asymmetries,&nbsp; for&nbsp; comparisons of methods and measures of brain shape asymmetry,&nbsp; and possibly for clarifying contradicting neuroimaging findings of brain lateralizations.</p> <p>See <a href="https://sites.google.com/site/brainmorphorg/home">https://sites.google.com/site/brainmorphorg/home&nbsp; </a></p> <p>and&nbsp;</p> <p>A. Pepe, I. Dinov, and J. Tohka . An Automatic Framework for Quantitative Validation of Voxel Based Morphometry Measures of Anatomical Brain Asymmetry.&nbsp;<a href="http://dx.doi.org/10.1016/j.neuroimage.2014.06.029">NeuroImage , 100: 444 - 459, 2014</a><a href="https://doi.org/10.1016/j.neuroimage.2014.06.029">&nbsp;</a></p> <p>for more information.&nbsp;</p>