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Knowledge-based method for segmentation and analysis of lung boundaries in chest X-ray images



Knowledge-based method for segmentation and analysis of lung boundaries in chest X-ray images



Computerized Medical Imaging and Graphics 22(6): 463-477



We present a knowledge-based approach to segmentation and analysis of the lung boundaries in chest X-rays. Image edges are matched to an anatomical model of the lung boundary using parametric features. A modular system architecture was developed which incorporates the model, image processing routines, an inference engine and a blackboard. Edges associated with the lung boundary are automatically identified and abnormal features are reported. In preliminary testing on 14 images for a set of 18 detectable abnormalities, the system showed a sensitivity of 88% and a specificity of 95% when compared with assessment by an experienced radiologist.

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Accession: 046508756

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PMID: 10098894


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