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Proceedings Paper

A new x-ray scatter reduction method based on frequency division multiplexing x-ray imaging technique
Author(s): J. Zhang; S. Chang; J. P. Lu; O. Zhou
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Paper Abstract

X-ray scatter may significantly degrade imaging performance in x-ray radiography applications, including flatpanel detector-based x-ray imaging, tomosynthesis, and cone-beam CT (CBCT), primarily due to their large projection field sizes. It results in soft tissue contrast reduction, potentially severe image artifacts, and increased patient dose. Several different approaches have been developed to reject the scatter contributions, including analytical calculation, empirical algorithms, Monte-Carlo simulation, blocker based measurement, and slot scan technique. We recently developed a new x-ray scatter rejection method based on nanotechnology-enabled frequency division multiplexing x-ray (FDMX) imaging technique. The key enabling technology is the carbon nanotube (CNT)-based multi-beam field emission x-ray (MBFEX) source technology. The proposed FDMX imaging system has a MBFEX source with an array of x-ray tubes. The x-ray radiation from each individual x-ray tube is modulated at a certain given frequency. The collimated x-ray beams passed through the object and were captured by a high speed x-ray detector. A demultiplexing algorithm was applied to reject the scatter radiation from the primary radiation based on their different modulation frequencies. The x-ray images generated by the FDMX imaging technique clearly demonstrated improved imaging quality in terms of lower scatter-to-primary-ratio (SPR) and higher contrast-to-noise-ratio (CNR). It shows great potential of improving x-ray imaging performance and reducing patient dose.

Paper Details

Date Published: 24 February 2012
PDF: 7 pages
Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 831353 (24 February 2012); doi: 10.1117/12.911470
Show Author Affiliations
J. Zhang, The Univ. of North Carolina at Chapel Hill (United States)
United Imaging Healthcare (China)
S. Chang, The Univ. of North Carolina at Chapel Hill (United States)
J. P. Lu, The Univ. of North Carolina at Chapel Hill (United States)
O. Zhou, The Univ. of North Carolina at Chapel Hill (United States)
Lineberger Comprehensive Cancer Ctr., The Univ. of North Carolina at Chapel Hill (United States)


Published in SPIE Proceedings Vol. 8313:
Medical Imaging 2012: Physics of Medical Imaging
Norbert J. Pelc; Robert M. Nishikawa; Bruce R. Whiting, Editor(s)

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