Search Results - "Welch, E. Brian"

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  1. 1

    Trajectory optimized NUFFT: Faster non‐Cartesian MRI reconstruction through prior knowledge and parallel architectures by Smith, David S., Sengupta, Saikat, Smith, Seth A., Brian Welch, E.

    Published in Magnetic resonance in medicine (01-03-2019)
    “…Purpose The non‐uniform fast Fourier transform (NUFFT) involves interpolation of non‐uniformly sampled Fourier data onto a Cartesian grid, an interpolation…”
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  2. 2

    Untangling the R2 contrast in multiple sclerosis: A combined MRI-histology study at 7.0 Tesla by Bagnato, Francesca, Hametner, Simon, Boyd, Emma, Endmayr, Verena, Shi, Yaping, Ikonomidou, Vasiliki, Chen, Guanhua, Pawate, Siddharama, Lassmann, Hans, Smith, Seth, Welch, E Brian

    Published in PloS one (21-03-2018)
    “…T2*-weighted multi-echo gradient-echo magnetic resonance imaging and its reciprocal R2* are used in brain imaging due to their sensitivity to iron content. In…”
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    Characterizing active and inactive brown adipose tissue in adult humans using PET-CT and MR imaging by Gifford, Aliya, Towse, Theodore F, Walker, Ronald C, Avison, Malcolm J, Welch, E Brian

    “…Activated brown adipose tissue (BAT) plays an important role in thermogenesis and whole body metabolism in mammals. Positron emission tomography (PET)-computed…”
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  5. 5

    Development of a mobile low-field MRI scanner by Deoni, Sean C. L., Medeiros, Paul, Deoni, Alexandra T., Burton, Phoebe, Beauchemin, Jennifer, D’Sa, Viren, Boskamp, Eddy, By, Samantha, McNulty, Chris, Mileski, William, Welch, Brian E., Huentelman, Matthew

    Published in Scientific reports (05-04-2022)
    “…Magnetic resonance imaging (MRI) allows important visualization of the brain and central nervous system anatomy and organization. However, unlike…”
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    Cold exposure induces dynamic, heterogeneous alterations in human brown adipose tissue lipid content by Coolbaugh, Crystal L., Damon, Bruce M., Bush, Emily C., Welch, E. Brian, Towse, Theodore F.

    Published in Scientific reports (19-09-2019)
    “…Brown adipose tissue undergoes a dynamic, heterogeneous response to cold exposure that can include the simultaneous synthesis, uptake, and oxidation of fatty…”
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  9. 9

    Prospective real-time head motion correction using inductively coupled wireless NMR probes by Sengupta, Saikat, Tadanki, Sasidhar, Gore, John C., Welch, E. Brian

    Published in Magnetic resonance in medicine (01-10-2014)
    “…Purpose Head motion continues to be a major source of artifacts and data quality degradation in MRI. The goal of this work was to develop and demonstrate a…”
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  10. 10

    Real-Time Compressive Sensing MRI Reconstruction Using GPU Computing and Split Bregman Methods by Smith, David S., Gore, John C., Yankeelov, Thomas E., Welch, E. Brian

    “…Compressive sensing (CS) has been shown to enable dramatic acceleration of MRI acquisition in some applications. Being an iterative reconstruction technique,…”
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  11. 11

    High-resolution 7T MRI of the human hippocampus in vivo by Thomas, Bradley P., Welch, E. Brian, Niederhauser, Blake D., Whetsell Jr, William O., Anderson, Adam W., Gore, John C., Avison, Malcolm J., Creasy, Jeffrey L.

    Published in Journal of magnetic resonance imaging (01-11-2008)
    “…Purpose To describe an initial experience imaging the human hippocampus in vivo using a 7T magnetic resonance (MR) scanner and a protocol developed for very…”
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  12. 12

    An Individualized, Perception-Based Protocol to Investigate Human Physiological Responses to Cooling by Coolbaugh, Crystal L, Bush, Emily C, Galenti, Elizabeth S, Welch, E Brian, Towse, Theodore F

    Published in Frontiers in physiology (13-03-2018)
    “…Cold exposure, a known stimulant of the thermogenic effects of brown adipose tissue (BAT), is the most widely used method to study BAT physiology in adult…”
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  13. 13

    Statistical comparison of dynamic contrast-enhanced MRI pharmacokinetic models in human breast cancer by Li, Xia, Welch, E. Brian, Chakravarthy, A. Bapsi, Xu, Lei, Arlinghaus, Lori R., Farley, Jaime, Mayer, Ingrid A., Kelley, Mark C., Meszoely, Ingrid M., Means-Powell, Julie, Abramson, Vandana G., Grau, Ana M., Gore, John C., Yankeelov, Thomas E.

    Published in Magnetic resonance in medicine (01-07-2012)
    “…By fitting dynamic contrast‐enhanced MRI data to an appropriate pharmacokinetic model, quantitative physiological parameters can be estimated. In this study,…”
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  14. 14

    Canine body composition quantification using 3 tesla fat-water MRI by Gifford, Aliya, Kullberg, Joel, Berglund, Johan, Malmberg, Filip, Coate, Katie C., Williams, Phillip E., Cherrington, Alan D., Avison, Malcolm J., Welch, E. Brian

    Published in Journal of magnetic resonance imaging (01-02-2014)
    “…Purpose To test the hypothesis that a whole‐body fat–water MRI (FWMRI) protocol acquired at 3 Tesla combined with semi‐automated image analysis techniques…”
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  15. 15

    On the relationship between the apparent diffusion coefficient and extravascular extracellular volume fraction in human breast cancer by Arlinghaus, Lori R, Li, Xia, Rahman, A. Ridwan, Welch, E. Brian, Xu, Lei, Gore, John C, Yankeelov, Thomas E

    Published in Magnetic resonance imaging (01-06-2011)
    “…Abstract MRI techniques have been developed that can noninvasively probe the apparent diffusion coefficient (ADC) of water via diffusion-weighted MRI (DW-MRI)…”
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    MR fingerprinting with simultaneous T 1 , T 2 , and fat signal fraction estimation with integrated B 0 correction reduces bias in water T 1 and T 2 estimates by Ostenson, Jason, Damon, Bruce M, Welch, E Brian

    Published in Magnetic resonance imaging (01-07-2019)
    “…MR fingerprinting (MRF) sequences permit efficient T and T estimation in cranial and extracranial regions, but these areas may include substantial fat signals…”
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  17. 17

    Potential of compressed sensing in quantitative MR imaging of cancer by Smith, David S, Li, Xia, Abramson, Richard G, Quarles, C Chad, Yankeelov, Thomas E, Welch, E Brian

    Published in Cancer imaging (30-12-2013)
    “…Classic signal processing theory dictates that, in order to faithfully reconstruct a band-limited signal (e.g., an image), the sampling rate must be at least…”
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    DCEMRI.jl: a fast, validated, open source toolkit for dynamic contrast enhanced MRI analysis by Smith, David S, Li, Xia, Arlinghaus, Lori R, Yankeelov, Thomas E, Welch, E Brian

    Published in PeerJ (San Francisco, CA) (2015)
    “…We present a fast, validated, open-source toolkit for processing dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) data. We validate it against…”
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  19. 19

    Temporal sampling requirements for reference region modeling of DCE-MRI data in human breast cancer by Planey, Catherine R., Welch, E. Brian, Xu, Lei, Chakravarthy, A. Bapsi, Gatenby, J. Christopher, Freehardt, Darla, Mayer, Ingrid, Meszeoly, Ingrid, Kelley, Mark, Means-Powell, Julie, Gore, John C., Yankeelov, Thomas E.

    Published in Journal of magnetic resonance imaging (01-07-2009)
    “…Purpose To assess the temporal sampling requirements needed for quantitative analysis of dynamic contrast‐enhanced MRI (DCE‐MRI) data with a reference region…”
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  20. 20

    Imaging methods for analyzing body composition in human obesity and cardiometabolic disease by Seabolt, Lynn A., Welch, E. Brian, Silver, Heidi J.

    Published in Annals of the New York Academy of Sciences (01-09-2015)
    “…Advances in the technological qualities of imaging modalities for assessing human body composition have been stimulated by accumulating evidence that…”
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