Changes between Version 1 and Version 2 of Acknowledgements


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Timestamp:
Jul 12, 2012, 4:11:25 PM (8 years ago)
Author:
bsoher
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  • Acknowledgements

    v1 v2  
    77 * Also a solid nod towards the National Institutes of Health for funding this through grant number 1R01EB008387-01A1.
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    9  * The metabolite prior information that populates the startup database and makes all the PyGamma simulations possible was derived from the stellar publication by Varanavasi Govindaraju (Govind!), Karl Young and Andrew Maudsley, in NMR in Biomedicine, Vol.13, pages 129-153. While there have been a few other contributions towards these values, this work is by far the keystone towards accurate and robust spectral simulation around.
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    1110Now for a little history and thank-yous! The original programs that inspired this work were developed by:
     
    1514 * '''GAVA''' - Brian Soher, Karl Young, Aaron Berstein and Zakaria Aygula with funding and inspiration from Andrew Maudsley at UC San Francico. This program was of course motivated by and made possible by the graduate work of Scott Smith who developed the GAMMA C++ spectral simulation library. Dr. Andrew Maudsley had both the inspiration (and funding) to want to make this resource available more easily to others in the clinical magnetic resonance world. Young and Berstein created the initial infrastructure for simulation under Linux. Soher translated this to Windows and wrapped it in an IDL GUI and GAVA was 'born'. Soher, Young and Aygula all worked on maintaining GAVA on Windows and Linux, and towards extending the ability of simulations to account for 'real world' condition while at University of Miami. Soher aquired funding for maintaining and extending GAVA into the Vespa-Simulation application in 2008.
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     16 * The metabolite prior information that populates the startup database and makes all the PyGamma simulations possible was derived from the stellar publication by Varanavasi Govindaraju (Govind!), Karl Young and Andrew Maudsley, in NMR in Biomedicine, Vol.13, pages 129-153. While there have been a few other contributions towards these values, this work is by far the keystone towards accurate and robust spectral simulation around.
     17
    1718 * '''IDL_Vespa''' - Brian Soher at Duke. Like many great things, or hopefully great things, this program came about out of laziness. As part of Dr. Soher's work with Andrew Maudsley at UC San Francisco and Miami, The SITools application toolbox for processing large spectroscopy data sets was slowly morphing into something ever larger and more regimented towards large data sets. This made testing small changes as well as new algorithms a long and tedious chore. Dr. Soher developed IDL_Vespa to handle smaller spectroscopy data sets and to be easier to use as a test bed for other changes.