GPU‐based prompt gamma ray imaging from boron neutron capture therapy

Purpose: The purpose of this research is to perform the fast reconstruction of a prompt gamma ray image using a graphics processing unit (GPU) computation from boron neutron capture therapy (BNCT) simulations. Methods: To evaluate the accuracy of the reconstructed image, a phantom including four bor...

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Published in:Medical physics (Lancaster) Vol. 42; no. 1; pp. 165 - 169
Main Authors: Yoon, Do‐Kun, Jung, Joo‐Young, Jo Hong, Key, Sil Lee, Keum, Suk Suh, Tae
Format: Journal Article
Language:English
Published: United States American Association of Physicists in Medicine 01-01-2015
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Summary:Purpose: The purpose of this research is to perform the fast reconstruction of a prompt gamma ray image using a graphics processing unit (GPU) computation from boron neutron capture therapy (BNCT) simulations. Methods: To evaluate the accuracy of the reconstructed image, a phantom including four boron uptake regions (BURs) was used in the simulation. After the Monte Carlo simulation of the BNCT, the modified ordered subset expectation maximization reconstruction algorithm using the GPU computation was used to reconstruct the images with fewer projections. The computation times for image reconstruction were compared between the GPU and the central processing unit (CPU). Also, the accuracy of the reconstructed image was evaluated by a receiver operating characteristic (ROC) curve analysis. Results: The image reconstruction time using the GPU was 196 times faster than the conventional reconstruction time using the CPU. For the four BURs, the area under curve values from the ROC curve were 0.6726 (A‐region), 0.6890 (B‐region), 0.7384 (C‐region), and 0.8009 (D‐region). Conclusions: The tomographic image using the prompt gamma ray event from the BNCT simulation was acquired using the GPU computation in order to perform a fast reconstruction during treatment. The authors verified the feasibility of the prompt gamma ray image reconstruction using the GPU computation for BNCT simulations.
Bibliography:Telephone: +82‐2‐2258‐7232; Fax: +82‐2‐2258‐7506.
Author to whom correspondence should be addressed. Electronic mail
suhsanta@catholic.ac.kr
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ISSN:0094-2405
2473-4209
DOI:10.1118/1.4903265