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DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering
Dual-energy computed tomography (DECT) imaging plays an important role in advanced imaging applications due to its material decomposition capability. Image-domain decomposition operates directly on CT images using linear matrix inversion, but the decomposed material images can be severely degraded b...
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| Pubblicato in: | IEEE Trans Med Imaging |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7263375/ https://ncbi.nlm.nih.gov/pubmed/31603815 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2019.2946177 |
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