DocumentCode :
2504380
Title :
Segmenting anatomy in chest x-rays for tuberculosis screening
Author :
Karargyris, Alexandros ; Antani, Sameer ; Thoma, George
Author_Institution :
Nat. Inst. of Health, U.S. Nat. Libr. of Med., Bethesda, MD, USA
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
7779
Lastpage :
7782
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.
Keywords :
diagnostic radiography; diseases; feature extraction; image classification; image segmentation; lung; medical image processing; chest X-rays; chest radiographs; classification; global healthcare settings; lung detection; pixel-wise techniques; pneumonia; pulmonary pathologies; rib detection; segmentation; tuberculosis screening; wavelet features; Biomedical imaging; Gabor filters; Image edge detection; Lungs; Ribs; X-rays; Humans; Lung; Mass Screening; Radiographic Image Interpretation, Computer-Assisted; Radiography, Thoracic; Software; Thorax; Tuberculosis; X-Rays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6091917
Filename :
6091917
Link To Document :
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