Paper
18 March 2008 Monte-Carlo scatter correction for cone-beam computed tomography with limited scan field-of-view
Matthias Bertram, Timo Sattel, Steffen Hohmann, Jens Wiegert
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Abstract
In flat detector cone-beam computed tomography (CBCT), scattered radiation is a major source of image degradation, making accurate a posteriori scatter correction inevitable. A potential solution to this problem is provided by computerized scatter correction based on Monte-Carlo simulations. Using this technique, the detected distributions of X-ray scatter are estimated for various viewing directions using Monte-Carlo simulations of an intermediate reconstruction. However, as a major drawback, for standard CBCT geometries and with standard size flat detectors such as mounted on interventional C-arms, the scan field of view is too small to accommodate the human body without lateral truncations, and thus this technique cannot be readily applied. In this work, we present a novel method for constructing a model of the object in a laterally and possibly also axially extended field of view, which enables meaningful application of Monte-Carlo based scatter correction even in case of heavy truncations. Evaluation is based on simulations of a clinical CT data set of a human abdomen, which strongly exceeds the field of view of the simulated C-arm based CBCT imaging geometry. By using the proposed methodology, almost complete removal of scatter-caused inhomogeneities is demonstrated in reconstructed images.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Matthias Bertram, Timo Sattel, Steffen Hohmann, and Jens Wiegert "Monte-Carlo scatter correction for cone-beam computed tomography with limited scan field-of-view", Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 69131Y (18 March 2008); https://doi.org/10.1117/12.771103
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Cited by 11 scholarly publications.
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KEYWORDS
Monte Carlo methods

X-rays

Computer simulations

Sensors

Signal attenuation

Computed tomography

Photons

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