Entry Correa:2009:VWL from siggraph2000.bib

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BibTeX entry

@Article{Correa:2009:VWL,
  author =       "Carlos D. Correa",
  title =        "Visualizing what lies inside",
  journal =      j-COMP-GRAPHICS,
  volume =       "43",
  number =       "2",
  pages =        "5:1--5:??",
  month =        may,
  year =         "2009",
  CODEN =        "CGRADI, CPGPBZ",
  DOI =          "https://doi.org/10.1145/1629216.1629224",
  ISSN =         "0097-8930",
  bibdate =      "Wed Oct 7 09:20:42 MDT 2009",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/siggraph2000.bib",
  abstract =     "Medical imaging has given radiologists an ability that
                 photography was not able to provide: it lets them see
                 inside the human body. With the advent of 3D
                 visualization systems, these images can be put together
                 into crisp and impressive renderings of the human body
                 from a variety of perspectives that were only dreamt of
                 before, revolutionizing clinical practice.\par

                 Light transport models soon emerged to allow light
                 interactions that, although not realistic in the
                 physical sense, proved to be more effective for
                 understanding the complex relationships among the
                 anatomical structures. For instance, bone could be made
                 semi-transparent to provide visibility of brain tissue.
                 Skin could be removed altogether from an image to show
                 only muscle or internal organs. However, soon it became
                 evident that simply rendering these images in their raw
                 form was no longer effective and the clear
                 visualization of internal structures remains
                 elusive.\par

                 The depiction of internal parts in the context of the
                 enclosing space is a difficult problem that has
                 occupied the mind of artists, illustrators and
                 visualization practitioners. Despite the advances made
                 in computer graphics for simulating the light transport
                 in semi-transparent media, the problem of visualizing
                 internal objects is no longer a rendering problem, but
                 that of classification. Medical imaging technology
                 obtains representations of anatomical structures via
                 indirect ways, such as the response of tissue to X-rays
                 or the alignment of electrons in a magnetic field.
                 Therefore, the absence of semantic information prevents
                 visualization practitioners from clearly marking up the
                 regions that must be visualized. Without access to
                 those regions, exploration becomes tedious and
                 time-consuming. The predominant approach has been the
                 use of transfer functions, or opacity mappings, which
                 assign transparency properties to different intervals
                 in the data. This method, however, does not guarantee
                 that internal structures are visible. Other strategies
                 must be used. In this article, I describe some
                 visualization techniques that have emerged to obtain
                 clear views of internal features in 3D volume data.",
  acknowledgement = ack-nhfb,
  articleno =    "5",
  fjournal =     "Computer Graphics",
  journal-URL =  "http://portal.acm.org/browse_dl.cfm?idx=J166",
}

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