21 May 1999 Method for recognizing multiple radiation fields in computed radiography
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Abstract
An algorithm is developed to detect collimation regions in computed radiography images. Based on a priori knowledge of the collimation process, the algorithm consists of four major stages of operations: (1) pixel-level detection and classification of collimation boundary transition pixels; (2) line-level delineation of candidate collimation blades; (3) estimation of the most likely partitioning; and (4) region- level determination of the collimation configuration. This algorithm has been tested on a set of 8,436 images, which includes 7,703 single-exposure images and 733 multiple- exposure images. An overall success rate in excess of 99% has been achieved.
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Xiaohui Wang, Jiebo Luo, Robert A. Senn, and David H. Foos "Method for recognizing multiple radiation fields in computed radiography", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348567; https://doi.org/10.1117/12.348567
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