Abstract-Proton computed tomography has been suggested as a means for maximizing the potential benefits of proton radiation therapy. By measuring individual proton energy losses after traversing an object and predicting paths of maximum likelihood through the image space, relative stopping power maps can be generated for treatment planning and image guidance. However, the processes of proton interaction with the imaged object lead to a number of challenges in the image reconstruction procedure. In this work we describe our approach to obtaining accurate relative stopping power maps in the shortest amount of time.Keywords-proton computed tomography, relative stopping power, block-iterative projection.

We present two methods of independently mapping the dimensions of the sensitive volume in an ion-counting nanodosimeter. The first method is based on a calculational approach simulating the extraction of ions from the sensitive volume, and the second method on probing the sensitive volume with 250 MeV protons. Sensitive-volume maps obtained with both methods are compared and systematic errors inherent in both methods are quantified.

No abstract

No abstract

Monte Carlo computer programs such as the GEANT4 toolkit include precise models of particle interactions and can be an invaluable tool for studying the feasibility of new imaging techniques such as proton computed tomography (pCT). Presented in this paper is a comparison of laboratory data with GEANT4 predictions for the imaging characteristics of a simple metal object using a particle beam and a silicon particle detector.