Open AccessPolyenergetic 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.