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Proceedings Paper

A model-based volume restoration approach for Monte Carlo scatter correction in image reconstruction of cone beam CT with limited field of view
Author(s): Guozhi Zhang; Reinhilde Jacobs; Hilde Bosmans
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Paper Abstract

Scatter remains a major cause of image artifacts in cone beam CT (CBCT). To correct the scatter for improved image reconstruction, the Monte Carlo simulation technique has been useful in estimating the scatter distribution. This technique, however, requires a 3D computational phantom of the patient, which is typically obtained from the reconstructed 3D image and is not fully available for CBCT scans with limited field of view. This study proposes a novel approach to restore the volume of the patient in such cases by use of a standard patient model and image registration techniques. As demonstrated for the 6 x 6 em oral CBCT scan, a full-field image of the model could be registered to the truncated patient image and was then successfully imported to Monte Carlo simulation for scatter estimation. Scatter correction was achieved by subtracting the Monte Carlo scatter data from the raw data on a projection-by-projection basis. Compared to the original data, the reconstructed image with scatter correction showed reduced streak artifacts and an improved contrast resolution of up to 15% between the soft and bony tissue. This approach exploits the low-frequency characteristic of the scatter distribution. The procedure could use more suitable models, and it could in a next step be further automated. It would then be an interesting candidate to improve image quality in practice.

Paper Details

Date Published: 6 March 2013
PDF: 6 pages
Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86682P (6 March 2013); doi: 10.1117/12.2007693
Show Author Affiliations
Guozhi Zhang, UZ Leuven (Belgium)
Reinhilde Jacobs, UZ Leuven (Belgium)
Hilde Bosmans, UZ Leuven (Belgium)

Published in SPIE Proceedings Vol. 8668:
Medical Imaging 2013: Physics of Medical Imaging
Robert M. Nishikawa; Bruce R. Whiting; Christoph Hoeschen, Editor(s)

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