Automatic background recognition and removal (ABRR) in computed radiography images

IEEE Transactions on Medical Imaging
J Zhang, H K Huang

Abstract

A novel method to automatically recognize and remove background signals in computed radiography (CR) images caused by X-ray collimation during projection radiographic examinations is presented. There are three major steps in this method. In the first step, a statistical curve is derived based on many hierarchical CR sample images as a first approximation to loosely separate image and background pixels. Second, signal processing methods, including specific sampling, filtering, and angle recognition, are used to determine edges between image and background pixels. Third, adaptive parameter adjustments and consistent and reliable estimation rules are used to finalize the location of edges and remove the background. In addition, this step also evaluates the reliability of the complete background removal operation. With this novel method implemented in a clinical picture archiving and communication system (PACS) at the University of California at San Francisco, we achieved 99% correct recognition of CR image background, and 91% full background removal without removing any valid image information.

References

Jul 1, 1992·Investigative Radiology·M F McNitt-GrayH K Huang
Jan 1, 1995·IEEE Transactions on Medical Imaging·M F McNitt-GrayJ W Sayre
Jan 1, 1993·IEEE Transactions on Medical Imaging·E PietkaH K Huang
Jan 1, 1991·IEEE Transactions on Medical Imaging·E PietkaH K Huang
Jan 1, 1987·IEEE Transactions on Medical Imaging·R H Sherrier, G A Johnson
Jan 1, 1989·IEEE Transactions on Medical Imaging·M I SeznR Schaetzing
Jan 1, 1993·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·J Zhang

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Citations

Mar 7, 2003·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·F CaoX Q Zhou
Sep 24, 1998·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·J Zhang, H K Huang
Jan 24, 2014·Computational and Mathematical Methods in Medicine·Marjan MansourvarFariza Hanum Nasaruddin
Oct 4, 2000·IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society·X Cao, H K Huang
Aug 22, 2001·IEEE Transactions on Medical Imaging·E PietkaV Gilsanz

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