{"title":"基于微波反射的膀胱状态识别与真实骨盆模型:尿电导率和尿量的影响","authors":"Alex Raterink, Ali Farshkaran, E. Porter","doi":"10.1109/imarc49196.2021.9714587","DOIUrl":null,"url":null,"abstract":"Microwave imaging could provide a low-cost, easy, and non-invasive method of detecting the state of the human bladder. However, current work on bladder detection uses relatively simple models. This paper presents a complex surface model of the human torso, based on the AustinMan model, to be used in broadband simulations. Model preparation is discussed, including the selection of dielectric properties of the tissues, bladder shape construction, and necessary simplifications to facilitate simulation of the model. Simulation results suggest that differences in the dielectric properties and volume of the urine are detectable through changes in the S11 parameter of the antenna.","PeriodicalId":226787,"journal":{"name":"2021 IEEE MTT-S International Microwave and RF Conference (IMARC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Microwave Reflection-based Bladder State Discrimination with Realistic Pelvic Models: Impact of Urine Conductivity and Volume\",\"authors\":\"Alex Raterink, Ali Farshkaran, E. Porter\",\"doi\":\"10.1109/imarc49196.2021.9714587\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Microwave imaging could provide a low-cost, easy, and non-invasive method of detecting the state of the human bladder. However, current work on bladder detection uses relatively simple models. This paper presents a complex surface model of the human torso, based on the AustinMan model, to be used in broadband simulations. Model preparation is discussed, including the selection of dielectric properties of the tissues, bladder shape construction, and necessary simplifications to facilitate simulation of the model. Simulation results suggest that differences in the dielectric properties and volume of the urine are detectable through changes in the S11 parameter of the antenna.\",\"PeriodicalId\":226787,\"journal\":{\"name\":\"2021 IEEE MTT-S International Microwave and RF Conference (IMARC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE MTT-S International Microwave and RF Conference (IMARC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/imarc49196.2021.9714587\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE MTT-S International Microwave and RF Conference (IMARC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/imarc49196.2021.9714587","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Microwave Reflection-based Bladder State Discrimination with Realistic Pelvic Models: Impact of Urine Conductivity and Volume
Microwave imaging could provide a low-cost, easy, and non-invasive method of detecting the state of the human bladder. However, current work on bladder detection uses relatively simple models. This paper presents a complex surface model of the human torso, based on the AustinMan model, to be used in broadband simulations. Model preparation is discussed, including the selection of dielectric properties of the tissues, bladder shape construction, and necessary simplifications to facilitate simulation of the model. Simulation results suggest that differences in the dielectric properties and volume of the urine are detectable through changes in the S11 parameter of the antenna.