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3D Reconstruction of Human Ribcage and Lungs and Improved Visualization of Lung X-ray Images Through Removal of the Ribcage

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Abstract

The analysis of X-ray imagery is the standard pre-screening approach for lung cancer. Unlike CTscans, X-ray images only provide a 2D projection of the patientís body. As a result occlusions, i.e. some body parts covering other areas of the body within this projected X-ray image, can make the analysis more difficult. For example, the ribs, a predominant feature within the X-ray image, can cover up cancerous nodules, making it difficult for the Computer Aided Diagnostic (CAD) systems or even a doctor to detect such nodules. Hence, this paper describes a methodology for reconstructing a patient-specific 3D model of the ribs and lungs based on a set of lateral and PA X-ray images, which allows the system to calculate simulated X-ray images of just the ribs. The simulated X-ray images can then be subtracted from the original PA X-ray image resulting in an image where most of the cross hatching pattern caused by the ribs is removed to improve on automated diagnostic processes.

BibTeX - Entry

@InCollection{koehler_et_al:DFU:2011:3293,
  author =	{Christopher Koehler and Thomas Wischgoll},
  title =	{{3D Reconstruction of Human Ribcage and Lungs and Improved Visualization of Lung X-ray Images Through Removal of the Ribcage}},
  booktitle =	{Scientific Visualization: Interactions, Features, Metaphors},
  pages =	{176--187},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-939897-26-2},
  ISSN =	{1868-8977},
  year =	{2011},
  volume =	{2},
  editor =	{Hans Hagen},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2011/3293},
  URN =		{urn:nbn:de:0030-drops-32935},
  doi =		{http://dx.doi.org/10.4230/DFU.Vol2.SciViz.2011.176},
  annote =	{Keywords: 3D Reconstruction, X-ray images}
}

Keywords: 3D Reconstruction, X-ray images
Seminar: Scientific Visualization: Interactions, Features, Metaphors
Issue date: 2011
Date of publication: 2011


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