2010
DOI: 10.1118/1.3399777
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Uncertainty analysis of a Compton camera imaging system for radiation therapy dose reconstruction

Abstract: The results indicate that Compton camera imaging systems based on current solid-state detector technology have the potential to provide independent verification of dose delivered to a patient during radiation therapy. Further consideration must be given to detector efficiency and image reconstruction algorithms for this application of CCI systems.

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Cited by 12 publications
(6 citation statements)
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“…Quantification of deposited dose based on scatter image intensity has not been tested, possibly because it is also complicated by the multiple-scattering blurring. Energy-discriminating Compton cameras may be able to perform a statistical determination, although processing may take days of computation (Mundy and Herman 2010). The analytical simulation method described here may provide a faster iterative route through which agreement of experimental and simulated images would allow for 3D quantification of deposited dose, even when multiple scattering is present.…”
Section: Discussionmentioning
confidence: 99%
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“…Quantification of deposited dose based on scatter image intensity has not been tested, possibly because it is also complicated by the multiple-scattering blurring. Energy-discriminating Compton cameras may be able to perform a statistical determination, although processing may take days of computation (Mundy and Herman 2010). The analytical simulation method described here may provide a faster iterative route through which agreement of experimental and simulated images would allow for 3D quantification of deposited dose, even when multiple scattering is present.…”
Section: Discussionmentioning
confidence: 99%
“…And, tracking of breathing motion is particularly important during high-dose rate deliveries (>2 times higher than conventional 400–600 MU min βˆ’1 dose rates), where high signal-to-noise scatter images may possibly be acquired fast enough for tracking. Aside from previously-proposed, potential 3D dose tracking uses (Mundy and Herman 2010), which may be challenged by computational time and attenuation, there are other possible applications of scatter imaging. For example, beam alignment during cranial, head and neck, or tangential breast treatment might be verified based on air in sinuses, trachea, or lung, respectively.…”
Section: Discussionmentioning
confidence: 99%
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“…where 𝐸 1 is the recoil electron energy and 𝐸 2 is the scattered photon energy; π‘š e denotes the electron's rest mass and 𝑐 denotes the light velocity. The ARM includes uncertainties derived from the energy resolution, detector geometry and the doppler broadening effect [51]. The contributions to the geometric uncertainty are the detector's spatial resolution and its placement.…”
Section: Performance Of Compton Camera With a Monte Carlo Simulationmentioning
confidence: 99%