Investigation of an efficient short-scan C-arm reconstruction method with radon-based redundancy handling

Frank Dennerlein; Holger Kunze

doi:10.1117/12.2043432

19 March 2014 Investigation of an efficient short-scan C-arm reconstruction method with radon-based redundancy handling

Frank Dennerlein, Holger Kunze

Proceedings Volume 9033, Medical Imaging 2014: Physics of Medical Imaging; 90330T (2014) https://doi.org/10.1117/12.2043432
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

The short-scan Feldkamp David Kress (FDK) method for C-arm CT reconstruction involves a heuristic raybased weighting scheme to handle data redundancies. This scheme is known to be approximate under general circumstances and it often creates low frequency image artifacts in regions away from the central axial plane. Alternative algorithms, such as the one proposed by Defrise and Clack (DC),1 can handle data redundancy in a theoretically exact manner and thus notably improve image quality. The DC algorithm, however, is computationally more complex than FDK, as it requires a shift-variant 2D filtering of the data instead of a efficient 1D filtering. In this paper, a modification of the original DC algorithm is investigated, which applies the efficient FDK filtering scheme whereever possible and the DC filtering scheme only where it is required. This modification leads to a more efficient implementation of the DC algorithm, in which filtering effort can be reduced by up to about 70%, dependent on the specific geometry set-up. This gain in computation speed makes the DC method even more attractive for use in an interventional environment, where fast and interactive X-ray imaging is a crucial requirement.

Citation Download Citation

Frank Dennerlein and Holger Kunze "Investigation of an efficient short-scan C-arm reconstruction method with radon-based redundancy handling", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90330T (19 March 2014); https://doi.org/10.1117/12.2043432

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KEYWORDS

Reconstruction algorithms

Sensors

Image quality

Head

Data acquisition

Image filtering

Radon

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