| Fast Monte Carlo simulation for patient-specific CT/CBCT imaging dose calculation. | |
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MedLine Citation:
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PMID: 22222686 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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X-ray imaging dose from computed tomography (CT) or cone beam CT (CBCT) scans has become a serious concern. Patient-specific imaging dose calculation has been proposed for the purpose of dose management. While Monte Carlo (MC) dose calculation can be quite accurate for this purpose, it suffers from low computational efficiency. In response to this problem, we have successfully developed a MC dose calculation code, gCTD, on GPU architecture under the NVIDIA CUDA platform for fast and accurate estimation of the x-ray imaging dose received by a patient during a CT or CBCT scan. Techniques have been developed particularly for the GPU architecture to achieve high computational efficiency. Dose calculations using CBCT scanning geometry in a homogeneous water phantom and a heterogeneous Zubal head phantom have shown good agreement between gCTD and EGSnrc, indicating the accuracy of our code. In terms of improved efficiency, it is found that gCTD attains a speed-up of ∼400 times in the homogeneous water phantom and ∼76.6 times in the Zubal phantom compared to EGSnrc. As for absolute computation time, imaging dose calculation for the Zubal phantom can be accomplished in ∼17 s with the average relative standard deviation of 0.4%. Though our gCTD code has been developed and tested in the context of CBCT scans, with simple modification of geometry it can be used for assessing imaging dose in CT scans as well. |
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Authors:
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Xun Jia; Hao Yan; Xuejun Gu; Steve B Jiang |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-1-06 |
Journal Detail:
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Title: Physics in medicine and biology Volume: 57 ISSN: 1361-6560 ISO Abbreviation: - Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-1-6 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0401220 Medline TA: Phys Med Biol Country: - |
Other Details:
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Languages: ENG Pagination: 577-590 Citation Subset: - |
Affiliation:
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Center for Advanced Radiotherapy Technologies and Department of Radiation Oncology, University of California San Diego, La Jolla, CA 92037-0843, USA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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