Proceedings

Automatic Detection Of Rib Contours in Chest Radiographs

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Proceedings of the Fourth International Joint Conference on Artificial Intelligence. Visual Information Processing. Pages 688-693.

Abstract

We have constructed a computer algorithm that finds the contours of the dorsal and ventral portions of the images of ribs in chest radiographs. The fo llowing are a few of the expected uses for the automatic detection of rib contours: 1. Rib images contribute false positives in l·umor-Jetection algorithms. Hence, detecting the r I h co ntours should f ac il i. tate removal of these false positives. 2. The ribs provide a frame of reference for the description and location of lesions within the thoracic cavity. 3. The envelope of the ribs provides a more'accu r ate b as is for computing the boundary of the ch est cavity (referred to as the "lung boundary" in othe r papers) than other known techniques. Our algorithm consists of a) high-pass filtering of the digitized picture, b) local "edge" detection hy a combination of thresholding, Laplacian, and gradient operators, c) selection of edge elements in accordance with their angular orientation, d) matching straight l;ine segments and coni c sections to the selected edge elements, e) constructing strips centered on the straight line seg me nts and conic sections, and f) heuristic search within these strips.

Harry Wechsler, and Jack Sklansky. 1975. Automatic Detection Of Rib Contours in Chest Radiographs. In Proceedings of the Fourth International Joint Conference on Artificial Intelligence, IJCAI-75. IJCAI, 688–693. https://ijcai.org/proceedings/1975/109
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