Method for recognizing multiple radiation fields in computed radiography

Xiaohui Wang; Jiebo Luo; Robert A. Senn; David H. Foos

doi:10.1117/12.348567

21 May 1999 Method for recognizing multiple radiation fields in computed radiography

Xiaohui Wang, Jiebo Luo, Robert A. Senn, David H. Foos

Proceedings Volume 3661, Medical Imaging 1999: Image Processing; (1999) https://doi.org/10.1117/12.348567
Event: Medical Imaging '99, 1999, San Diego, CA, United States

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.

Citation Download Citation

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); https://doi.org/10.1117/12.348567

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