Paper
12 March 2009 Efficient scatter correction using asymmetric kernels
Josh Star-Lack, Mingshan Sun, Anders Kaestner, Rene Hassanein, Gary Virshup, Timo Berkus, Markus Oelhafen
Author Affiliations +
Proceedings Volume 7258, Medical Imaging 2009: Physics of Medical Imaging; 72581Z (2009) https://doi.org/10.1117/12.811578
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
X-ray cone-beam (CB) projection data often contain high amounts of scattered radiation, which must be properly modeled in order to produce accurate computed tomography (CT) reconstructions. A well known correction technique is the scatter kernel superposition (SKS) method that involves deconvolving projection data with kernels derived from pencil beam-generated scatter point-spread functions. The method has the advantages of being practical and computationally efficient but can suffer from inaccuracies. We show that the accuracy of the SKS algorithm can be significantly improved by replacing the symmetric kernels that traditionally have been used with nonstationary asymmetric kernels. We also show these kernels can be well approximated by combinations of stationary kernels thus allowing for efficient implementation of convolution via FFT. To test the new algorithm, Monte Carlo simulations and phantom experiments were performed using a table-top system with geometry and components matching those of the Varian On-Board Imager (OBI). The results show that asymmetric kernels produced substantially improved scatter estimates. For large objects with scatter-to-primary ratios up to 2.0, scatter profiles were estimated to within 10% of measured values. With all corrections applied, including beam hardening and lag, the resulting accuracies of the CBCT reconstructions were within ±25 Hounsfield Units (±2.5%).
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Josh Star-Lack, Mingshan Sun, Anders Kaestner, Rene Hassanein, Gary Virshup, Timo Berkus, and Markus Oelhafen "Efficient scatter correction using asymmetric kernels", Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 72581Z (12 March 2009); https://doi.org/10.1117/12.811578
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Cited by 52 scholarly publications and 4 patents.
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KEYWORDS
Convolution

Monte Carlo methods

Sensors

Point spread functions

Atrial fibrillation

Data modeling

Scatter measurement

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