Abstract
The presented paper describes a successfully parallel implementation of the statistical reconstruction method based on the continuous-to-continuous model using both CPU and GPU hardware approaches. Data were obtained from a commercial computer tomography device which were saved in DICOM standard file. The implemented reconstruction algorithm is formulated taking in two consideration the statistical properties of signals obtained by x-ray CT and the continuous-to-continuous data model. During our experiments, we tested the speed of the implemented algorithm and we optimized it in terms of the critical parameter which is very important regarding the potential use of this solution in clinical practice.
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Acknowledgments
This work was partly supported by The National Centre for Research and Development in Poland (Research Project POIR.01.01.01-00-0463/17).
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Cierniak, R., Bilski, J., Pluta, P., Filutowicz, Z. (2019). Realizations of the Statistical Reconstruction Method Based on the Continuous-to-Continuous Data Model. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2019. Lecture Notes in Computer Science(), vol 11509. Springer, Cham. https://doi.org/10.1007/978-3-030-20915-5_14
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