Polyenergetic known-component reconstruction without prior shape models | Zendy

C. Zhang | Zendy; Wojciech Zbijewski | Zendy; X. Zhang | Zendy; Sheng Xu | Zendy; J. Webster Stayman | Zendy

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Polyenergetic known-component reconstruction without prior shape models

Author(s) -

C. Zhang,

Wojciech Zbijewski,

X. Zhang,

Sheng Xu,

J. Webster Stayman

Publication year - 2017

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.2255542

Subject(s) - computer science , a priori and a posteriori , segmentation , component (thermodynamics) , iterative reconstruction , artificial intelligence , scanner , computer vision , image quality , surface reconstruction , algorithm , image (mathematics) , geometry , mathematics , physics , philosophy , epistemology , thermodynamics , surface (topology)

Previous work has demonstrated that structural models of surgical tools and implants can be integrated into model-based CT reconstruction to greatly reduce metal artifacts and improve image quality. This work extends a polyenergetic formulation of known-component reconstruction (Poly-KCR) by removing the requirement that a physical model (e.g. CAD drawing) be known a priori, permitting much more widespread application.

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