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Prediction of proton beam range in phantom with metals based on monochromatic energy CT images

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机构： [1]Radiophysical Technology Center, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, China. [2]Department of Radiotherapy, Yantai Yuhuangding Hospital, Yantai, 264000, China. [3]Academy of Medical Engineering and Translational Medicine, Department of Biomedical Engineering, School of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin, 300072, China. [4]Department of Radiotherapy, Chengdu Second People's Hospital, Chengdu, 610021, China. [5]Lung Cancer Center & Institute, West China Hospital, Sichuan University, Chengdu, 610041, China. [6]CT Imaging Research Center, GE Healthcare China, Shanghai, 201203, China.

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关键词： metal artifacts dual-energy computed tomography(DECT) proton range metal artifact reduction(MAR)

摘要：

The purpose of the study was to evaluate the accuracy of monochromatic energy (MonoE) computed tomography (CT) images reconstructed by spectral CT in predicting the stopping power ratio $( SP{R}_w)$ of materials in the presence of metal. The CIRS062 phantom was scanned three times using spectral CT. In the first scan, a solid water insert was placed at the center of the phantom $(C{T}_{no\ metal})$. In the second scan, the solid water insert was replaced with a titanium alloy femoral head $(C{T}_{metal})$. The metal artifact reduction (MAR) algorithm was used in the last scan $(C{T}_{metal+ MAR})$. The MonoE-CT images of 40 keV and 80 keV were reconstructed. Finally, the single-energy CT method (SECT) and the dual-energy CT method (DECT) were used to calculate the $SP{R}_w$. The mean absolute error (MAE) of the $SP{R}_w$ of the inner layer inserts calculated by the SECT method were 3.19%, 13.88% and 2.71%, corresponding to $C{T}_{no\ metal}$, $C{T}_{metal}$ and $C{T}_{metal+ MAR}$, respectively. For the outer layer inserts, the MAE of $SP{R}_w$ were 3.43%, 5.42% and 2.99%, respectively. Using the DECT method, the MAE of the $SP{R}_w$ of the inner layer inserts was 1.30%, 3.69% and 1.46% and the MAE of the outer layer inserts- was 1.34%, 1.36% and 1.05%. The studies shows that, compared with the SECT method, the accuracy of the DECT method in predicting the $SP{R}_w$ of a material is more robust to the presence of metal. Using the MAR algorithm when performing CT scans can further improve the accuracy of predicting the SPR of materials in the presence of metal.© The Author(s) 2022. Published by Oxford University Press on behalf of The Japanese Radiation Research Society and Japanese Society for Radiation Oncology. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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出版当年[2022]版：

大类 | 4 区医学

小类 | 3 区生物学 4 区肿瘤学 4 区核医学

最新[2023]版：

大类 | 4 区医学

小类 | 3 区生物学 4 区肿瘤学 4 区核医学

第一作者：

第一作者机构： [1]Radiophysical Technology Center, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, China.

通讯作者：

通讯机构： [1]Radiophysical Technology Center, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, China. [*1]Department of Radiotherapy,Division of Radiation Physics,State Key Laboratory of Biotherapy and Cancer Center,West China Hospital,Sichuan University,Chengdu 610041,P.R.China.

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Prediction of proton beam range in phantom with metals based on monochromatic energy CT images

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