Dose reconstruction from PET images in carbon ion therapy: a deconvolution approach using an evolutionary algorithm

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dc.contributor.authorHofmann, Ten_AU
dc.contributor.authorFochi, Aen_AU
dc.contributor.authorPinto, Men_AU
dc.contributor.authorMohammadi, Aen_AU
dc.contributor.authorNitta, Men_AU
dc.contributor.authorNishikido, Fen_AU
dc.contributor.authorIwao, Yen_AU
dc.contributor.authorTashima, Hen_AU
dc.contributor.authorYoshida, Een_AU
dc.contributor.authorSafavi-Naeini, Men_AU
dc.contributor.authorChacon, Aen_AU
dc.contributor.authorRosenfeld, ABen_AU
dc.contributor.authorYamaya, Ten_AU
dc.contributor.authorParodi, Ken_AU
dc.date.accessioned2025-01-15T23:00:57Zen_AU
dc.date.available2025-01-15T23:00:57Zen_AU
dc.date.issued2017-10-28en_AU
dc.date.statistics2025-01-16en_AU
dc.description.abstractDose monitoring and range verification are important tools in carbon ion therapy. For their implementation, positron emission tomography (PET) can be used to image the β+-activation of tissue during treatment. Predictions of these β+-activity distributions are usually obtained from Monte Carlo simulations, which demands high computational time and thus limits the applicability of this technique in clinical scenario. Nevertheless, it is desirable to explore faster approaches able to give such a prediction, since only its comparison with the measured distributions allows a definite assessment of potential range deviations from the planned treatment. For the first time, we present an approach to perform deconvolution from PET data in carbon ion therapy and reconstruct the dose. A filtering method is used to predict positron emitter profiles from dose profiles in short time. In order to reverse the convolution and estimate a dose distribution from a positron emitter distribution, we apply an evolutionary algorithm. Filters are obtained from either a library or are created in advance for a specific problem, assuming that a prediction of the positron emitter distribution is available. To perform the latter method and find the best filter for a specific problem, we use another evolutionary algorithm, hence optimizing the filter on-the-fly for the given treatment scheme. The application of our method is shown for dose and positron emitter distributions in homogeneous phantoms using simulated and newly measured online PET data. Carbon ion ranges can be predicted within 2 mm and the shape of the dose distribution is reconstructed with an overall promising agreement.en_AU
dc.identifier.booktitle2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)en_AU
dc.identifier.citationHofmann, T., Fochi, A., Pinto, M., Mohammadi, A., Nitta, M., Nishikido, F., Iwao, Y., Tashima, H., Yoshida, E., Safavi-Naeini, M., Chacon, A., Rosenfeld, A., Yamaya, T., & Parodi, K. (2017, 21-28 Oct. 2017). Dose reconstruction from PET images in carbon ion therapy: a deconvolution approach using an evolutionary algorithm. Paper presented to the 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 21 - 28 Oct 2017, Atlanta, Georgia, USA, (pp 1-3. In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) conference proceedings. Piscataway, NJ : IEEE. doi:10.1109/NSSMIC.2017.8532716en_AU
dc.identifier.conferenceenddate2017-10-28en_AU
dc.identifier.conferencename2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)en_AU
dc.identifier.conferenceplaceAtlanta, Georgia, USAen_AU
dc.identifier.conferencestartdate2017-10-21en_AU
dc.identifier.isbn9781538622827en_AU
dc.identifier.isbn9781538622834en_AU
dc.identifier.pagination1-3en_AU
dc.identifier.placeofpublicationPiscataway, NJen_AU
dc.identifier.urihttp://dx.doi.org/10.1109/nssmic.2017.8532716en_AU
dc.identifier.urihttps://doi.org/10.1109/nssmic.2017.8532716en_AU
dc.identifier.urihttps://apo.ansto.gov.au/handle/10238/15945en_AU
dc.publisherInstitute of Electrical and Electronics Engineersen_AU
dc.subjectCarbon ionsen_AU
dc.subjectDepth Dose Distributionsen_AU
dc.subjectForecastingen_AU
dc.subjectGenetic algorithmsen_AU
dc.subjectIon beamsen_AU
dc.subjectMonte Carlo Methoden_AU
dc.subjectPositron computed tomographyen_AU
dc.subjectQuality assuranceen_AU
dc.subjectRadiation dosesen_AU
dc.subjectRadiotherapyen_AU
dc.subjectTherapyen_AU
dc.titleDose reconstruction from PET images in carbon ion therapy: a deconvolution approach using an evolutionary algorithmen_AU
dc.typeConference Paperen_AU
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