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Proceedings Paper

A Compton imaging algorithm for on-line monitoring in hadron therapy
Author(s): J. E. Gillam; C. Lacasta; I. Torres-Espallardo; C. Candela Juan; G. Llosá; P. Solevi; J. Barrio; M. Rafecas
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Paper Abstract

Hadron therapy, a subject of study by the ENVISION project, promises to provide enhanced accuracy in the treatment of cancer. The Bragg-peak, characteristic of the hadron-beam structure provides larger dose to the tumor while being able to spare surrounding tissue - even tissues in the beam-path, beyond the tumor-site. However, increased dose gradients require more precise treatment, as small beam misalignment can result in dose to healthy, often delicate, surrounding tissue. The requirement for accuracy necessitates imaging during therapy, yet the lack of a transmitted beam makes this difficult. The particulate beam interacts with the target material producing neutrons, positron emitting isotopes and a broad spectra of gamma radiation. Photons from positron-annihilation allow in-beam PET to provide on-line measurements of dose deposition during therapy. However, ib-PET suffers from low statistics and lost projections due to low sensitivity and detector constraints respectively. Instead, Compton imaging of gamma radiation is proposed to provide on-line monitoring for hadron therapy. Compton imaging suffers similarly from low statistics, especially, as is the case here, when incident energy is unknown. To surmount this problem, a method of Compton image reconstruction is proposed and tested using simulated data, which reconstructs incident energy along with the spatial variation in emission density. Through incident energy estimation, a larger range of measurements are available for image-reconstruction - greatly increasing the sensitivity of the system. It is shown in this preliminary study that, even with few statistics, a reasonable estimate of the beam path is calculable.

Paper Details

Date Published: 16 March 2011
PDF: 8 pages
Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 79611O (16 March 2011); doi: 10.1117/12.877678
Show Author Affiliations
J. E. Gillam, Univ. de València (Spain)
C. Lacasta, Univ. de València (Spain)
I. Torres-Espallardo, Univ. de València (Spain)
C. Candela Juan, Univ. de València (Spain)
G. Llosá, Univ. de València (Spain)
P. Solevi, Univ. de València (Spain)
J. Barrio, Univ. de València (Spain)
M. Rafecas, Univ. de València (Spain)

Published in SPIE Proceedings Vol. 7961:
Medical Imaging 2011: Physics of Medical Imaging
Norbert J. Pelc; Ehsan Samei; Robert M. Nishikawa, Editor(s)

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