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Journal of Medical Imaging

Estimating scatter from sparsely measured primary signal
Author(s): Gongting Wu; Christina R. Inscoe; Jabari Calliste; Jing Shan; Yueh Z. Lee; Otto Zhou; Jianping Lu
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Paper Abstract

Scatter radiation severely degrades the image quality. Measurement-based scatter correction methods sample the scatter signal at sparsely distributed points, from which the scatter profile is estimated and deterministically removed from the projection image. The estimation of the scatter profile is generally done through a spline interpolation and the resulting scatter profile is quite smooth. Consequently, the noise is intact and the signal-to-noise ratio is reduced in the projection image after scatter correction, leading to image artifacts and increased noise in the reconstruction images. We propose a simple and effective method, referred to as filtered scatter-to-primary ratio ( f -SPR) estimation, to estimate the scatter profile using the sparsely sampled scatter signal. Using the primary sampling device and the stationary digital tomosynthesis systems previously developed in our lab, we evaluated and compared the f -SPR method in comparison with existing methods in terms of contrast ratio, signal difference-to-noise ratio, and modulation transfer function. A significant improvement in image quality is observed in both the projection and the reconstruction images using the proposed method.

Paper Details

Date Published: 29 March 2017
PDF: 12 pages
J. Med. Imag. 4(1) 013508 doi: 10.1117/1.JMI.4.1.013508
Published in: Journal of Medical Imaging Volume 4, Issue 1
Show Author Affiliations
Gongting Wu, The Univ. of North Carolina at Chapel Hill (United States)
Christina R. Inscoe, The Univ. of North Carolina at Chapel Hill (United States)
Jabari Calliste, The Univ. of North Carolina at Chapel Hill (United States)
Jing Shan, XinVivo, Inc. (United States)
Yueh Z. Lee, The Univ. of North Carolina at Chapel Hill (United States)
Otto Zhou, The Univ. of North Carolina at Chapel Hill (United States)
Jianping Lu, The Univ. of North Carolina at Chapel Hill (United States)


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