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GPU-Based Fast Imaging Technique During Boron Neutron Capture Therapy (BNCT): Monte Carlo Simulation Study for S-PET Operation

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H Yang

H Yang*, D Yoon , J Jung , H Shin , M Kim , S Kim , T Suh , Catholic Univ Medical College, Seoul, SEOUL


TU-C3-GePD-J(A)-1 (Tuesday, August 1, 2017) 10:30 AM - 11:00 AM Room: Joint Imaging-Therapy ePoster Lounge - A

Purpose: Purpose of this study was to show the graphics processing unit (GPU) based fast prompt gamma ray imaging technique during boron neutron capture therapy (BNCT) using the Monte Carlo simulation.

Methods: To acquire the 478 keV prompt gamma ray image in a single step, positron emission tomography (PET) with an insertable specific collimator for single photon detection (S-PET) was simulated. And then in order to perform a fast prompt gamma ray imaging, we were attempted to reconstruct the prompt gamma ray image using a modified reconstruction algorithm with GPU computation during treatment.

Results: Single photon detection from PET gantry with the insertable collimator was available during BNCT and prompt gamma ray of 478 keV had a capacity to obtain a tomographic image. Moreover, prompt gamma ray images according to the treatment fraction were acquired almost immediately after the acquisition of projection data owing to GPU based image reconstruction. As a result, we could confirm the application feasibility of the fast prompt gamma ray technique for BNCT.

Conclusion: Due to the fast GPU computation, GPU application for BNCT S-PET has a large effect on reduction of reconstruction time. Therefore, it was possible to reconstruct GPU-based fast prompt gamma ray image during BNCT.

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