Battlefield MRI

Espy, Michelle

Title: Battlefield MRI

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Abstract

Magnetic Resonance Imaging is the best method for non-invasive imaging of soft tissue anatomy, saving countless lives each year. It is regarded as the gold standard for diagnosis of mild to moderate traumatic brain injuries. Furthermore, conventional MRI relies on very high, fixed strength magnetic fields (> 1.5 T) with parts-per-million homogeneity, which requires very large and expensive magnets.

Authors:

Espy, Michelle ^[1]

Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Publication Date:: Mon Jun 01 00:00:00 EDT 2015

Research Org.:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1235896

Report Number(s):: LA-UR-15-21104
Journal ID: ISSN 9999-0003

Grant/Contract Number:: AC52-06NA25396

Resource Type:: Accepted Manuscript

Journal Name:: HDIAC Journal

Additional Journal Information:: Journal Volume: 2; Journal Issue: 2; Journal ID: ISSN 9999-0003

Publisher:: US DOD

Country of Publication:: United States

Language:: English

Subject:: 59 BASIC BIOLOGICAL SCIENCES; Biological Science

Citation Formats


                    Espy, Michelle. Battlefield MRI.  United States: N. p., 2015. 
Web.

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                    Espy, Michelle. Battlefield MRI.  United States.

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                    Espy, Michelle. Mon .  
"Battlefield MRI".  United States.  https://www.osti.gov/servlets/purl/1235896.

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@article{osti_1235896,

  title        = {Battlefield MRI},

  author       = {Espy, Michelle},

  abstractNote = {Magnetic Resonance Imaging is the best method for non-invasive imaging of soft tissue anatomy, saving countless lives each year. It is regarded as the gold standard for diagnosis of mild to moderate traumatic brain injuries. Furthermore, conventional MRI relies on very high, fixed strength magnetic fields (> 1.5 T) with parts-per-million homogeneity, which requires very large and expensive magnets.},

  doi          = {},

  journal      = {HDIAC Journal},

  number       = 2,

  volume       = 2,

  place        = {United States},

  year         = {Mon Jun 01 00:00:00 EDT 2015},

  month        = {Mon Jun 01 00:00:00 EDT 2015}

}

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