Advanced image registration and reconstruction using the O-Arm system: dose reduction, image quality, and guidance using known-component models | Zendy

Jeffrey H. Siewerdsen | Zendy; Ali Uneri | Zendy; Xiaoxuan Zhang | Zendy; J. Webster Stayman | Zendy; Patrick A. Helm | Zendy; Nicholas Theodore | Zendy; Greg Osgood | Zendy

Open Access

Advanced image registration and reconstruction using the O-Arm system: dose reduction, image quality, and guidance using known-component models

Author(s) -

Jeffrey H. Siewerdsen,

Ali Uneri,

Xiaoxuan Zhang,

J. Webster Stayman,

Patrick A. Helm,

Nicholas Theodore,

Greg Osgood

Publication year - 2018

Publication title -

pubmed central

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

pISSN - 0277-786X

DOI - 10.1117/12.2293874

Subject(s) - computer science , image quality , iterative reconstruction , cadaver , computer vision , image registration , artificial intelligence , visibility , visualization , image resolution , medicine , image (mathematics) , surgery , physics , optics

Model-based image registration and reconstruction offer strong potential for improved safety and precision in image-guided interventions. Advantages include reduced radiation dose, improved soft-tissue visibility (detection of complications), and accurate guidance with/without a dedicated navigation system. This work reports the development and performance of such methods on an O-arm system for intraoperative imaging and translates them to first clinical studies.

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