2022
DOI: 10.1038/s41598-022-06126-6
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Towards machine learning aided real-time range imaging in proton therapy

Abstract: Compton imaging represents a promising technique for range verification in proton therapy treatments. In this work, we report on the advantageous aspects of the i-TED detector for proton-range monitoring, based on the results of the first Monte Carlo study of its applicability to this field. i-TED is an array of Compton cameras, that have been specifically designed for neutron-capture nuclear physics experiments, which are characterized by $$\gamma $$ γ -ray energies spanning … Show more

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Cited by 11 publications
(14 citation statements)
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“…On average, both resolution and repeatibility are better in PET than in Compton imaging. Rather than the angular or spatial resolution itself, it is the sensitivity of the imaging apparatus to range shifts or variations what matters when it comes to addressing range verification 18 . The latter is more related to repeatibility than resolution, although a higher image resolution is expected to deliver also a more reliable range monitoring.…”
Section: Discussionmentioning
confidence: 99%
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“…On average, both resolution and repeatibility are better in PET than in Compton imaging. Rather than the angular or spatial resolution itself, it is the sensitivity of the imaging apparatus to range shifts or variations what matters when it comes to addressing range verification 18 . The latter is more related to repeatibility than resolution, although a higher image resolution is expected to deliver also a more reliable range monitoring.…”
Section: Discussionmentioning
confidence: 99%
“…More details can be found in Ref. 18 . The add-back energy-calibrated energy spectrum between detectors of the different i-TED modules during the beam-off period is displayed in Fig.…”
Section: Data Reductionmentioning
confidence: 99%
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“…Within the frame of particle therapy, event selection instead of compensation during the reconstruction is often attempted to reduce the impact of accidental coincidences and fortuitous events [69], and/or to compensate for the wrong estimation of the unknown initial energy [126]. Machine learning, in particular deep neural networks, has also shown some potential in this regard [127][128][129][130].…”
Section: Reconstruction Of the Interaction Sequence And Event Selectionmentioning
confidence: 99%
“…The system consists of a compact and handheldportable device capable of measuring and simultaneously imaging both thermal-and slowneutrons and γ -rays, both of them with a high efficiency. The proposed device consists of an upgrade of the i-TED Compton imager [16][17][18][19] developed within the ERC project HYMNS [20], in such a way that simultaneous imaging of both γ -rays and slow neutrons becomes feasible with the same device.…”
Section: Introductionmentioning
confidence: 99%