title: Segmenting anatomy in chest x-rays for tuberculosis screening.
abstract: 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.
authors.affiliation: US National Library of Medicine, National Institutes of Health Bethesda, MD, USA.
authors.forename: Alexandros
authors.initials: A
authors.lastname: Karargyris
authors.forename: Sameer
authors.initials: S
authors.lastname: Antani
authors.forename: George
authors.initials: G
authors.lastname: Thoma
mesh_terms: D006801:Humans; D008168:Lung / Q000000981:diagnostic imaging* / Q000473:pathology*; D008403:Mass Screening; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D013902:Radiography, Thoracic / Q000379:methods*; D012984:Software; D013909:Thorax; D014376:Tuberculosis / Q000000981:diagnostic imaging* / Q000473:pathology*; D014965:X-Rays