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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010604</journal-id>
      <journal-title>Electronic Imaging</journal-title>
      <issn pub-type="ppub">2470-1173</issn><issn pub-type="epub"></issn>
      <publisher>
        <publisher-name>Society for Imaging Science and Technology</publisher-name>
        <publisher-loc>7003 Kilworth Lane, Springfield, VA 22151 USA</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.2352/ISSN.2470-1173.2016.19.COIMG-170</article-id>
      <article-id pub-id-type="sici">2470-1173(20160214)2016:19L.1;1-</article-id>
      <article-id pub-id-type="publisher-id">ei_24701173_v2016n19_input/s17.xml</article-id>
      <article-id pub-id-type="other">/ist/ei/2016/00002016/00000019/art00006</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Multi-spectral Infrared Computed Tomography</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Bingham</surname>
            <given-names>Philip</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Morales-Rodriguez</surname>
            <given-names>Marissa E</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Datskos</surname>
            <given-names>Panos</given-names>
          </name>
        </contrib>
        <contrib>
          <name>
            <surname>Graham</surname>
            <given-names>David</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>14</day>
        <month>02</month>
        <year>2016</year>
      </pub-date>
      <volume>2016</volume>
      <issue>19</issue>
      <fpage>1</fpage>
      <lpage>5</lpage>
      <permissions>
        <copyright-year>2016</copyright-year>
      </permissions>
      <abstract>
        <p>
          <italic>Precise measurement of spatial gas concentrations in an uncontrolled outdoor environment is needed for environmental studies. In this effort, a multispectral imaging system has been developed incorporating quantum cascade laser (QCL) modules with an iterative computed tomography
 algorithm to sense a transmission spectrum response for each voxel. With spatially distributed spectral data, researchers will be able to identify gas composition and concentration distributions over a region of interest. The QCL system uses multiple modules covering wavelength ranges from
 3.77Î¼m to 12.5Î¼m to detect both carbon dioxide (4.2Î¼m) and methane (7.5Î¼m) greenhouse gasses. Simulation and lab studies have been performed for a system using a circular arrangement of mirrors to transmit and reproject the QCL beam around
 the detector circle. The QCL transmission system has been tested in both controlled indoor environments and uncontrolled outdoor environments to quantify sensitivity.</italic>
        </p>
      </abstract>
    </article-meta>
  </front>
</article>
