29 March 2017 Estimating scatter from sparsely measured primary signal
Author Affiliations +
J. of Medical Imaging, 4(1), 013508 (2017). doi:10.1117/1.JMI.4.1.013508
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.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Gongting Wu, Christina R. Inscoe, Jabari Calliste, Jing Shan, Yueh Z. Lee, Otto Zhou, Jianping Lu, "Estimating scatter from sparsely measured primary signal," Journal of Medical Imaging 4(1), 013508 (29 March 2017). https://doi.org/10.1117/1.JMI.4.1.013508 Submission: Received 19 June 2016; Accepted 13 March 2017
Submission: Received 19 June 2016; Accepted 13 March 2017


Image quality

Scatter measurement

Modulation transfer functions

Signal to noise ratio

Image filtering

Imaging systems

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