Regularization Methods For The Analytical Statistical Reconstruction Problem In Medical Computed Tomography
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, (ICAISC 2016), PT II(2016)
摘要
The main purpose of this paper is to present the properties of our novel statistical model-based iterative approach to the image reconstruction from projections problem regarding its condition number. The reconstruction algorithm based on this concept uses a maximum likelihood estimation with an objective adjusted to the probability distribution of measured signals obtained using x-ray computed tomography. We compare this with some selected methods of regularizing the problem. The concept presented here is fundamental for 3D statistical tailored reconstruction methods designed for x-ray computed tomography.
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关键词
Image reconstruction from projections, X-ray computed tomography, Statistical reconstruction algorithm, Overfitting, Regularization
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