Gregory Simchick
University of Georgia
16 Papers
Gregory Simchick is an academic researcher from University of Georgia. The author has contributed to research in topics: Medicine & Repeatability. The author has an hindex of 5, co-authored 11 publications. Previous affiliations of Gregory Simchick include Florida State University College of Arts and Sciences.
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Papers
Pig Brains Have Homologous Resting-State Networks with Human Brains.
TL;DR: This study shows that as a translational, large animal model, pigs demonstrate great potential for mapping connectome-scale functional connectivity in experimental modeling of human brain disorders.
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b value and first‐order motion moment optimized data acquisition for repeatable quantitative intravoxel incoherent motion DWI
TL;DR: 2D b-M1 -optimized data acquisition enables repeatable IVIM quantification with improved noise performance and may advance the establishment of IVIM quantitative biomarkers for liver diseases.
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Exploring the predictive value of lesion topology on motor function outcomes in a porcine ischemic stroke model.
Kelly M. Scheulin,Brian J. Jurgielewicz,Samantha E. Spellicy,Elizabeth S. Waters,Emily W Baker,Holly A. Kinder,Gregory Simchick,Sydney E Sneed,Janet A. Grimes,Qun Zhao,Steven L. Stice,Franklin D. West +11 more
TL;DR: In this article, the authors identify key structures lesioned by a middle cerebral artery occlusion (MCAO) that impact stroke recovery and to strengthen the predictive capacity of neuroimaging techniques that characterize stroke outcomes in a translational porcine model.
Fat spectral modeling on triglyceride composition quantification using chemical shift encoded magnetic resonance imaging.
TL;DR: A material specific 9-peak fat spectral model, opposed to a widely accepted or generic human liver model, is necessary to accurately quantify triglyceride composition when using CSE-MRI estimation methods that assume the spectral model to be known as a priori information.
5
Precision of region of interest‐based tri‐exponential intravoxel incoherent motion quantification and the role of the Intervoxel spatial distribution of flow velocities
Gregory Simchick,Diego Hernando +1 more
TL;DR: The 2D (b-M1 ) IVIM-DWI data acquisition in conjunction with BVD fitting enables highly precise tri-exponential IVIM quantification in the right liver lobe.
3