Abstract
For the reconstruction of cone beam tomography (CBCT) images, the analytical algorithm of Feldkamp et al. (FDK) is mainly used. Apart from it, many iterative algorithms have been developed, e.g. algorithms from ART Families, conjugate gradient least squares (CGLS) or algorithms that can use total variation regularization (i.e. ASD-POCS, OS-ASD-POCS, OS-AwASD-POCS). However, they are infrequently used commercially. This paper compares the reconstruction time of the above-mentioned algorithms and analyses the images obtained from the reconstruction using image similarity assessment methods. Both phantoms (Head phantom and Sheep-Logan phantom) and a scan of a rat mandibular angle with a composite implant (titanium+bio-glass) were used for reconstruction. The presented analysis allows to determine the direction of further work related to methods of reducing artefacts caused by metallic implants in the reconstruction area.
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Acknowledgement
The research was performer as a part of the projects WI/WM-IIB/2/2021, WI/WM-IIB/4/2021, WZ/WM-IIM/3/2020 and was financed with the founds for science from the Polish Ministry of Science and Higher Education.
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Lipowicz, P., Dardzińska-Głębocka, A., Borowska, M., Biguri, A. (2022). Comparison of Analytical and Iterative Algorithms for Reconstruction of Microtomographic Phantom Images and Rat Mandibular Scans. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2022. Advances in Intelligent Systems and Computing, vol 1429. Springer, Cham. https://doi.org/10.1007/978-3-031-09135-3_10
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