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Region of interest identification in collimated x-ray images utilizing nonlinear preprocessing and the Radon transform

[+] Author Affiliations
Rishit Sheth

Massachusetts Institute of Technology, Lincoln Laboratory, Lexington, Massachusetts

Kenneth E. Barner

University of Delaware, Department of Electrical and Computer Engineering, Newark, Delaware 19716

Richard P. Schumeyer

U.S. Army Research Laboratory, 2800 Powder Mill Road, Adelphi, Maryland 20783-1197

Gonzalo R. Arce

University of Delaware, Department of Electrical and Computer Engineering, Newark, Delaware 19716

J. Electron. Imaging. 14(3), 033011 (July 26, 2005). doi:10.1117/1.2005042
History: Received March 22, 2004; Revised February 11, 2005; Accepted February 28, 2005; Published July 26, 2005; Online July 26, 2005
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The identification of the region of interest (ROI) in collimated x-ray images remains an important, open problem. The x-ray scattering present in all practical cases complicates the identification of a clearly defined ROI. Such scattering degrades image quality by producing a blurring of the boundaries delineating the ROI as well as corrupting the underlying gray-scale histogram. The construction of a proper identification scheme to locate the ROI in x-ray images will result in x-rays with improved visual clarity. A robust two-stage method of nonlinear preprocessing in the spatial domain to enhance the ROI boundary followed by extraction in the projection domain is proposed as an efficient means of ROI identification. The method proves effective for a wide variety of x-ray images taken with varying dosages. The results of simulations run in comparison with commonly used snake-based methods, which attempt to identify arbitrary ROIs using force on control points, show the proposed method yields better success rates in high- and low-SNR cases.

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© 2005 SPIE and IS&T

Citation

Rishit Sheth ; Kenneth E. Barner ; Richard P. Schumeyer and Gonzalo R. Arce
"Region of interest identification in collimated x-ray images utilizing nonlinear preprocessing and the Radon transform", J. Electron. Imaging. 14(3), 033011 (July 26, 2005). ; http://dx.doi.org/10.1117/1.2005042


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