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EP-2140: A Bayesian mixture-model for ion identification and filter in particle imaging

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Conclusion SFOV 4D-CBCT images were found to improve visually when subjected to a simple streak correction. Improvements were likewise observed on quantitative measurements of gradients as well as on CBCT… Click to show full abstract

Conclusion SFOV 4D-CBCT images were found to improve visually when subjected to a simple streak correction. Improvements were likewise observed on quantitative measurements of gradients as well as on CBCT HU to CT HU comparisons, and did not degrade the overall HU levels of the image. With gpu-optimization the calculation time of the method can potentially be reduced to less than a minute which will make it usable for on-line IGRT.

Keywords: 2140 bayesian; mixture model; bayesian mixture; model ion; identification filter; ion identification

Journal Title: Radiotherapy and Oncology
Year Published: 2018

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