{"title":"Reliability analysis of an Electronic Portal Imaging Device (EPID) of a linear accelerator","authors":"Clésia Gouveia, J. Sobral","doi":"10.1109/ENBENG58165.2023.10175354","DOIUrl":null,"url":null,"abstract":"The Electronic Portal Imaging Device (EPID) is a valuable imaging tool for verifying radiotherapy treatments. The treatment cannot be carried out without being sure of the patient's position and the associated deviations, so it is essential that its reliability must be as high as possible. In this work, it was explored real failure data in order to determine the reliability behavior of such devices and identify in which life stage the device is operating. With the analysis developed it was possible to identify the probability of failure of the EPID related to the number of treatments performed and based on that to have a sustainable decision-making process regarding the operation and maintenance of the EPID.","PeriodicalId":125330,"journal":{"name":"2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ENBENG58165.2023.10175354","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Electronic Portal Imaging Device (EPID) is a valuable imaging tool for verifying radiotherapy treatments. The treatment cannot be carried out without being sure of the patient's position and the associated deviations, so it is essential that its reliability must be as high as possible. In this work, it was explored real failure data in order to determine the reliability behavior of such devices and identify in which life stage the device is operating. With the analysis developed it was possible to identify the probability of failure of the EPID related to the number of treatments performed and based on that to have a sustainable decision-making process regarding the operation and maintenance of the EPID.