Antonio Micoli
SCATTERING-INFORMED TOMOGRAPHIC IMAGE RECONSTRUCTION FOR ION IMAGING.
Rel. Filippo Molinari, Katia Parodi, Chiara Gianoli. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2024
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Abstract
Radiotherapy stands as the leading treatment for cancer. Though the potential of X-rays is proven, the feasibility of using charged particles is gaining growing interest. While photons show an exponentially decreasing dose, ions release ever more energy along their path, culminating at the Bragg Peak. Thus, targeting accuracy and preservation of healthy tissues are improved. Nonetheless, ion imaging for treatment planning is still a long way from being a clinical reality: limited image quality and resolution due to Multiple Coulomb Scattering events across the medium were thoroughly assessed within this project. Ion imaging relies on two key quantities: the residual energy (stopping power), translating to Water Equivalent Thickness (WET), and particle deviation from a straight trajectory (scattering power).
Upon combining these measurements with an estimation of the ion trajectory, iterative tomographic reconstruction algorithms were adopted to retrieve a map of the ion stopping power ratio relative to water, or Relative Stopping Power (RSP)
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