1.1 Statement of the Problem This work describes a new and effective computer algorithm for detecting the contours of ribs in ehest radiographs. The problem, which is common to both the research areas of Machine Vision and Biomedical Computing, is to extract graphical information, such as that represented in Figure 1-lb, from a picture such as Figure 1-la. Figure 1-la shows a typical posterior-anterior (PA) ehest radiograph while Figure 1-lb shows a drawing of the ventral aspect of the thorax. lt is hoped that this researchwill contribute significantly toward developing an automated system for interpreting ehest radio graphs. 1.2 Why Have We Carried Out This Research? Since about one-third of the 650,000,000 medical radiographs (X-ray photographs) taken annually in the United States areehest radiographs, there is a growing awareness of the need for a computer aided system to help diagnose these radiographs. The detection of rib contours is, of course, a necessary element in such a system. In addition to being able to accommodate the need for a mass screening program, an automated systemalso has the ability to detect anomalies at earlier stages. Ziskin et al (1971) state that reliable 2 {a) Original Chest Radiograph Figure 1-1. A Chest Radiograph 3 VENTRAL CONTOUR CARTILAGE {b) THE THORAX; VENTRAL ASPECT OF A CHEST RADIOGRAPH Figura 1-1 A CHEST RADIOGRAPH studies indicate that even under routine conditions radiologists fail to detect approximately 30% of abnormalities in ehest X-ray films.

Bibliographic Information

Book Title: Automatic Detection of Rib Contours in Chest Radiographs
Book Subtitle: An Application of Image Processing Techniques in Medical Diagnosis
Authors: Harry Wechsler
Series Title: Interdisciplinary Systems Research
DOI: https://doi.org/10.1007/978-3-0348-5767-3
Publisher: Birkhäuser Basel
eBook Packages: Springer Book Archive
Copyright Information: Springer Basel AG 1977
Softcover ISBN: 978-3-7643-0887-2Published: 01 January 1977
eBook ISBN: 978-3-0348-5767-3Published: 11 November 2013
Edition Number: 1
Number of Pages: VII, 131
Number of Illustrations: 18 b/w illustrations
Topics: Science, Humanities and Social Sciences, multidisciplinary

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Automatic Detection of Rib Contours in Chest Radiographs

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