Physics-informed Deep Learning for Dual-Energy Computed Tomography Image Processing

Dual-energy CT (DECT) was introduced to address the inability of conventional single-energy computed tomography (SECT) to distinguish materials with similar absorbances but different elemental compositions. However, material decomposition algorithms based purely on the physics of the underlying atte...

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Detalles Bibliográficos
Autores principales: Poirot, Maarten G., Bergmans, Rick H. J., Thomson, Bart R., Jolink, Florine C., Moum, Sarah J., Gonzalez, Ramon G., Lev, Michael H., Tan, Can Ozan, Gupta, Rajiv
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881337/
https://www.ncbi.nlm.nih.gov/pubmed/31776423
http://dx.doi.org/10.1038/s41598-019-54176-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881337/
https://www.ncbi.nlm.nih.gov/pubmed/31776423
http://dx.doi.org/10.1038/s41598-019-54176-0

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