16 March 2006 Automatic orientation correction for radiographs
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Abstract
In picture archiving and communications systems (PACS), images need to be displayed in standardized ways for radiologists' interpretations. However, for most radiographs acquired by computed radiography (CR), digital radiography (DR), or digitized films, the image orientation is undetermined because of the variation of examination conditions and patient situations. To address this problem, an automatic orientation correction method is presented. It first detects the most indicative region for orientation in a radiograph, and then extracts a set of low-level visual features sensitive to rotation from the region. Based on these features, a trained classifier based on a support vector machine is employed to recognize the correct orientation of the radiograph and reorient it to a desired position. A large-scale experiment has been conducted on more than 12,000 radiographs covering a large variety of body parts and projections to validate the method. The overall performance is quite promising, with the success rate of orientation correction reaching 95.2%.
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Hui Luo, Hui Luo, Jiebo Luo, Jiebo Luo, Xiaohui Wang, Xiaohui Wang, } "Automatic orientation correction for radiographs", Proc. SPIE 6145, Medical Imaging 2006: PACS and Imaging Informatics, 61451E (16 March 2006); doi: 10.1117/12.653218; https://doi.org/10.1117/12.653218
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