Segmenting anatomy in chest x-rays for tuberculosis screening

Annu Int Conf IEEE Eng Med Biol Soc. 2011:2011:7779-82. doi: 10.1109/IEMBS.2011.6091917.


In this paper we describe the development of a screening system for pulmonary pathologies (i.e. pneumonia, tuberculosis) application in global healthcare settings. As a first step toward this goal, the paper presents a novel approach for detecting lungs and ribs in chest radiographs. The approach is a unified method combining two detection schemes resulting in reduced cost. The novelty of our approach lies on the fact that instead of using pixel-wise techniques exclusively we used region-based features computed as wavelet features that take into consideration the orientation of anatomic structures. Initial results are described. Next steps include classification of non-rib lung regions for radiographic patterns suggesting tuberculosis infection.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, N.I.H., Intramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Humans
  • Lung / diagnostic imaging*
  • Lung / pathology*
  • Mass Screening*
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Radiography, Thoracic / methods*
  • Software
  • Thorax
  • Tuberculosis / diagnostic imaging*
  • Tuberculosis / pathology*
  • X-Rays