Li Shi,Pi Yifei,Huo Wanli,Wang Zhi,Chen Zhi,Xu Xie.Optimization of DXA lumber spine bone imaging parameters based on Monte Carlo method and CT voxel phantom[J].Chinese Journal of Radiological Medicine and Protection,2018,38(7):541-546
Optimization of DXA lumber spine bone imaging parameters based on Monte Carlo method and CT voxel phantom
Received:January 17, 2018  
DOI:10.3760/cma.j.issn.0254-5098.2018.07.011
KeyWords:Monte Carlo  Computational voxel phantom  Dual-energy X-ray  Bone density imaging  Imaging parameters optimization
FundProject:国家重点研发计划资助(2017YFC0107500);国家自然科学基金(113751182,113751181)
Author NameAffiliationE-mail
Li Shi School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230027, China  
Pi Yifei School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230027, China  
Huo Wanli School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230027, China  
Wang Zhi School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230027, China  
Chen Zhi School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230027, China zchen@ustc.edu.cn 
Xu Xie School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230027, China  
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Abstract::
      Objective To study the lumber spine imaging process of dual-energy X-ray absorptiometry (DXA) and parameters used to optimize the image quality. Methods A computational voxel phantom was constructed from patient computed tomography (CT) data. Using the Monte Carlo radiation transport method, a dual energy x-ray beam was simulated to scan the phantom of lumbar spine to generate a bone density image. The Figure of Merit (FOM) of each image was claculated. Parameters including the combination of the high and low energy tube voltage, the thickness of Cu filter, and the ratio of two beam energy incident photon number were optimized, which based on FOM. Results FOM reaches a minimum of 1.59×10-2 with the tube voltage combination of 75 and 200 kVp. With the thickness of the Cu filter from 0 mm to 3 mm, FOM decreases from 6.30×10-2 to 1.87×10-2, showing a gradually slow-down trend. With the incident photon number ratio (low energy/high energy) increasing from 1:3 to 19:1, FOM decreases firstly and then increases, reaching a minimum of 1.40×10-2 at 3:1. ConclusionsAccording to the simulation results, the combinations of low tube voltage from 70 kVp to 85 kVp and high tube voltage from 160 kVp to 200 kVp, 0.3 mm Cu filter and beam incident photon number ratio from 1 to 5 can yield the best lumbar spine image quality with the lowest patient dose.
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