题名 | Improved air kerma determination in the radiation field of the X-ray used in medical imaging systems, considering the type and thickness the filter |
作者 | |
发表日期 | 2024-12 |
发表期刊 | Applied Radiation and Isotopes 影响因子和分区 |
语种 | 英语 |
原始文献类型 | Article |
关键词 | MLP neural network X-ray tube filter Air kerma Lung diseases Medical diagnostic imaging systems |
摘要 | In diagnostic radiology, the air kerma is an essential parameter. Radiologists consider the air kerma, calculating organ doses and dangers to patients. The intensity of the radiation beam is represented by kerma, which is the value of energy wasted by a photon as it travels through air. Because of the heel effect ray sources, air kerma varies throughout the field of medical imaging systems. One possible contributor discrepancy is the X-ray tube's voltage. In this study, an approach has been proposed for predicting the anywhere inside the field of X-ray beams utilized in medical diagnostic imaging systems. As a first diagnostic imaging system was modelled using the Monte Carlo N-Particle platform. We used a tungsten and aluminum and beryllium filters of varying thicknesses to recreate the X-ray tube. The air kerma measured in different parts of the conical X-ray beam that is working at 30, 50, 70, 90, 110, 130, and This gives enough data for training neural networks. The voltage of the X-ray tube, filter type, filter thickness, and the coordinates of each point used to calculate the air kerma were all inputs to the MLP neural network. MLP architecture, known for its significant advancements in research and expanding applications, was trained predict the quantity of air kerma as its output. Specifically, by considering X-ray tube filters of varying nesses, the trained MLP model demonstrated its capability to accurately predict the air kerma at every within the X-ray field for a range of X-ray tube voltages typically used in medical diagnostic radiography (30-150 kV). |
资助项目 | Fundamental Research Funds for the Provincial Universities of Zhejiang [GK239909299001-019]; Zhejiang Provincial Postdoctoral Research Project [ZJ2023074]; Research Foundation of Hangzhou Dianzi University [KYS335622091, KYH333122029M] |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
ISSN | 0969-8043 |
EISSN | 1872-9800 |
卷号 | 214 |
DOI | 10.1016/j.apradiso.2024.111481 |
页数 | 8 |
WOS类目 | Chemistry, Inorganic & Nuclear ; Nuclear Science & Technology ; Radiology, Nuclear Medicine & Medical Imaging |
WOS研究方向 | Chemistry ; Nuclear Science & Technology ; Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:001313709300001 |
收录类别 | SCIE ; EI ; SCOPUS |
EI入藏号 | 20243717022145 |
EI主题词 | X ray tubes |
EI分类号 | 102.1 ; 102.1.1 ; 714.1 Electron Tubes ; 746 Imaging Techniques ; 942.2.2 |
URL | 查看原文 |
PubMed ID | 39260315 |
SCOPUSEID | 2-s2.0-85203411288 |
通讯作者地址 | [Pan, Xiaotian]Hangzhou Dianzi Univ, Inst Intelligent Media Comp, Hangzhou 310018, Peoples R China. |
Scopus学科分类 | Radiation |
SCOPUS_ID | SCOPUS_ID:85203411288 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://kms.wmu.edu.cn/handle/3ETUA0LF/218646 |
专题 | 附属第一医院 附属第一医院_呼吸内科 |
通讯作者 | Pan, Xiaotian |
作者单位 | 1.Zhejiang Gongshang Univ, Sussex Artificial Intelligence Inst, Hangzhou 310018, Peoples R China; 2.Wenzhou Med Univ, Affiliated Hosp 1, Div Pulm Med, Key Lab Heart & Lung, Wenzhou 325000, Zhejiang, Peoples R China; 3.Hangzhou Dianzi Univ, Inst Intelligent Media Comp, Hangzhou 310018, Peoples R China; 4.Hangzhou Dianzi Univ, Shangyu Inst Sci & Engn Co Ltd, Shaoxing 312300, Peoples R China |
推荐引用方式 GB/T 7714 | Miao, Yanghan,Yang, Shengbo,Lin, Luning,et al. Improved air kerma determination in the radiation field of the X-ray used in medical imaging systems, considering the type and thickness the filter[J]. Applied Radiation and Isotopes,2024,214. |
APA | Miao, Yanghan., Yang, Shengbo., Lin, Luning., Zhu, Youyou., Zhang, Haqi., ... & Pan, Xiaotian. (2024). Improved air kerma determination in the radiation field of the X-ray used in medical imaging systems, considering the type and thickness the filter. Applied Radiation and Isotopes, 214. |
MLA | Miao, Yanghan,et al."Improved air kerma determination in the radiation field of the X-ray used in medical imaging systems, considering the type and thickness the filter".Applied Radiation and Isotopes 214(2024). |
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