AI Article Synopsis

  • Dual-energy CT reconstruction is a key advancement in CT imaging, focusing on the basis material decomposition model and the essential technique of projection decomposition.
  • The traditional projection decomposition method involves creating a large energy spectrum lookup table, which can significantly slow down computations as it expands.
  • The paper proposes a new acceleration algorithm that utilizes linear and plane equations to quickly compute projection values, leading to faster processing times while maintaining accurate results in simulations.

Article Abstract

Dual-energy computed tomography (CT) reconstruction imaging technology is an important development direction in the field of CT imaging. The mainstream model of dual-energy CT reconstruction algorithm is the basis material decomposition model, and the projection decomposition is the crucial technique. The projection decomposition algorithm based on projection matching was a general method. With establishing the energy spectrum lookup table, we can obtain the stable solution by the least squares matching method. But the computation cost will increase dramatically when size of lookup table enlarges and it will slow down the computer. In this paper, an acceleration algorithm based on projection matching is proposed. The proposed algorithm makes use of linear equations and plane equations to fit the lookup table data, so that the projection value of the decomposition coefficients can be calculated quickly. As the result of simulation experiment, the acceleration algorithm can greatly shorten the running time of the program to get the stable and correct solution.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935214PMC
http://dx.doi.org/10.7507/1001-5515.201605009DOI Listing

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