A filtering approach for PET and PG predictions in a proton treatment planning system.

A filtering approach for PET and PG predictions in a proton treatment planning system. Phys Med Biol. 2020 Mar 19;: Authors: Pinto M, Kroeniger K, Bauer J, Nilsson R, Traneus E, Parodi K Abstract Positron emission tomography and prompt gamma detection are promising proton therapy monitoring modalities. Fast calculation of the expected distributions is desirable for comparison to measurements and to develop/train algorithms for automatic treatment error detection. A filtering formalism was used for positron-emitter predictions and adapted to allow for its use for the beamline of any proton therapy centre. A novel approach based on a filtering formalism was developed for the prediction of energy-resolved prompt-gamma distributions for arbitrary tissues. The method estimates prompt-gamma yields and their energy spectra in the entire treatment field. Both approaches were implemented in a research version of the RayStation treatment planning system. The method was validated against positron emission tomography monitoring data and Monte Carlo simulations for four patients treated with scanned proton beams. Longitudinal shifts between profiles from analytical and Monte Carlo calculations were within -1.7 and 0.9 mm, with maximum standard deviation of 0.9 mm and 1.1 mm, for positron-emitters and prompt-gamma shifts, respectively. Normalized mean absolute errors were within 1.2 and 5.3%. When comparing measured and predicted PET data, the same more complex case y...
Source: Physics in Medicine and Biology - Category: Physics Authors: Tags: Phys Med Biol Source Type: research

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Source: Radiation Oncology - Category: Cancer & Oncology Authors: Tags: Research Source Type: research
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Source: Radiotherapy and Oncology - Category: Radiology Authors: Tags: Original Article Source Type: research
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Source: Physics in Medicine and Biology - Category: Physics Authors: Tags: Phys Med Biol Source Type: research
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Source: Journal of Applied Clinical Medical Physics - Category: Physics Authors: Tags: J Appl Clin Med Phys Source Type: research
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