Generalized-Equiangular Geometry CT: Concept and Shift-Invariant FBP Algorithms
Yingxian Xia, Zhiqiang Chen, Li Zhang, Yuxiang Xing, Hewei Gao

TL;DR
This paper introduces approximate shift-invariant Filtered BackProjection algorithms for Generalized-Equiangular Geometry CT, enabling fast and accurate image reconstruction in novel CT systems with complex geometries.
Contribution
It develops a unified framework for shift-invariant FBP algorithms tailored to GEGCT, including new weighting strategies based on NROD, and extends to 3D cone-beam configurations.
Findings
Weighted FBP algorithms achieve high reconstruction accuracy.
New weighting strategies outperform classical methods.
Algorithms are extended to dynamic NROD and 3D cone-beam scenarios.
Abstract
With advanced X-ray source and detector technologies being continuously developed, non-traditional CT geometries have been widely explored. Generalized-Equiangular Geometry CT (GEGCT) architecture, in which an X-ray source might be positioned radially far away from the focus of arced detector array that is equiangularly spaced, is of importance in many novel CT systems and designs. GEGCT, unfortunately, has no theoretically exact and shift-invariant analytical image reconstruction algorithm in general. In this study, to obtain fast and accurate reconstruction from GEGCT and to promote its system design and optimization, an in-depth investigation on a group of approximate Filtered BackProjection (FBP) algorithms with a variety of weighting strategies has been conducted. The architecture of GEGCT is first presented and characterized by using a normalized-radial-offset distance (NROD).…
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Taxonomy
TopicsMedical Imaging Techniques and Applications · Advanced X-ray and CT Imaging · Radiation Dose and Imaging
