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Improved Material Decomposition With a Two-Step Regularization for Spectral CT | IEEE Journals & Magazine | IEEE Xplore

Improved Material Decomposition With a Two-Step Regularization for Spectral CT


Material decomposition results from the preclinical mouse study. The 1st -3rd columns represent the bone, soft tissue and GNP in the display windows [0 0.5], [0.8 1] and ...

Abstract:

One of the advantages of spectral computed tomography (CT) is it can achieve accurate material components using the material decomposition methods. The image-based materi...Show More

Abstract:

One of the advantages of spectral computed tomography (CT) is it can achieve accurate material components using the material decomposition methods. The image-based material decomposition is a common method to obtain specific material components, and it can be divided into two steps: image reconstruction and post material decomposition. To obtain accurate material maps, the image reconstruction method mainly focuses on improving image quality by incorporating regularization priors. Very recently, the regularization priors are introduced into the post material decomposition procedure in the iterative image-based methods. Since the regularization priors can be incorporated into image reconstruction and post image-domain material decomposition, the performance of regularization by combining these two cases is still an open problem. To realize this goal, the material accuracy from those steps are first analyzed and compared. Then, to further improve the accuracy of decomposition materials, a two-step regularization based method is developed by incorporating priors into image reconstruction and post material decomposition. Both numerical simulation and preclinical mouse experiments are performed to demonstrate the advantages of the two-step regularization based method in improving material accuracy.
Material decomposition results from the preclinical mouse study. The 1st -3rd columns represent the bone, soft tissue and GNP in the display windows [0 0.5], [0.8 1] and ...
Published in: IEEE Access ( Volume: 7)
Page(s): 158770 - 158781
Date of Publication: 30 October 2019
Electronic ISSN: 2169-3536

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