科研成果详情

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
ISSN0969-8043
EISSN1872-9800
卷号214
DOI10.1016/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 ID39260315
SCOPUSEID2-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_IDSCOPUS_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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