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Proton Computed Tomography (CT) is a prototype imaging modality for thereconstruction of the Relative Stopping Power of a patient, for more accuratecalculations of the dose distributions in proton therapy dose planning. Themeasurements needed for the reconstruction of a proton CT image are: i) eachinitial proton vector incident on the imaged object, ii) each proton vectorincident on the front face of the detector and iii) the stopping depth of eachproton in the detector. In this study, a track reconstruction algorithm isadapted for a planned pixel-based particle-tracking range telescope for protonCT, called the Digital Tracking Calorimeter (DTC). The algorithm is based onthe track-following scheme, in which a growing track searches for deeper-layingactivated pixels, while minimizing the accumulated angular change. Thealgorithm is applied to Monte Carlo-simulated output of the DTC, showing thatthe DTC is able to reconstruct the tracks and find the depths of up to severalhundred simultaneous proton tracks.

Proton Tracking Algorithm in a Pixel-Based Range Telescope for Proton Computed Tomography