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Low-dose Proton Computed Tomography (pCT) is an evolving imaging modalitythat is used in proton therapy planning which addresses the range uncertaintyproblem. The goal of pCT is generating a 3D map of Relative Stopping Power(RSP) measurements with high accuracy within clinically required time frames.Generating accurate RSP values within the shortest amount of time is considereda key goal when developing a pCT software. The existing pCT softwares havesuccessfully met this time frame and even succeeded this time goal, butrequiring clusters with hundreds of processors.  This paper describes a novel reconstruction technique using two GraphicsProcessing Unit (GPU) cores, such as is available on a single Nvidia P100. Theproposed reconstruction technique is tested on both simulated and experimentaldatasets and on two different systems namely Nvidia K40 and P100 GPUs from IBMand Cray. The experimental results demonstrate that our proposed reconstructionmethod meets both the timing and accuracy with the benefit of having reasonablecost, and efficient use of power.

A Highly Accelerated Parallel Multi-GPU based Reconstruction Algorithm for Generating Accurate Relative Stopping Powers