{"title":"基于神经网络的聚焦超声激励焦点温度控制","authors":"Xilun Liu, M. Almekkawy","doi":"10.1109/LAUS53676.2021.9639179","DOIUrl":null,"url":null,"abstract":"High intensity focused ultrasound (HIFU), as a viable thermal tissue ablation approach, has recently increased its popularity. During the ablation process, the temperature rapidly increases and reaches above physiological normal temperature. The temperature versus time history is given by solving the bio-heat transfer equation (BHTE) with the initial condition and boundary conditions. Instead of using the traditional mesh-based algorithm, we introduce a physics-informed neural network (PINN) to solve the inverse control problem. In this work, unknown magnitudes of the deposition power can be estimated during the training process to ensure that the magnitude values can raise up to a predetermined temperature value at the target region.","PeriodicalId":156639,"journal":{"name":"2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Temperature Control of the Focal Point of Focused Ultrasound Excitation Using Neural Network Approach\",\"authors\":\"Xilun Liu, M. Almekkawy\",\"doi\":\"10.1109/LAUS53676.2021.9639179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High intensity focused ultrasound (HIFU), as a viable thermal tissue ablation approach, has recently increased its popularity. During the ablation process, the temperature rapidly increases and reaches above physiological normal temperature. The temperature versus time history is given by solving the bio-heat transfer equation (BHTE) with the initial condition and boundary conditions. Instead of using the traditional mesh-based algorithm, we introduce a physics-informed neural network (PINN) to solve the inverse control problem. In this work, unknown magnitudes of the deposition power can be estimated during the training process to ensure that the magnitude values can raise up to a predetermined temperature value at the target region.\",\"PeriodicalId\":156639,\"journal\":{\"name\":\"2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE UFFC Latin America Ultrasonics Symposium (LAUS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LAUS53676.2021.9639179\",\"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 UFFC Latin America Ultrasonics Symposium (LAUS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LAUS53676.2021.9639179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Temperature Control of the Focal Point of Focused Ultrasound Excitation Using Neural Network Approach
High intensity focused ultrasound (HIFU), as a viable thermal tissue ablation approach, has recently increased its popularity. During the ablation process, the temperature rapidly increases and reaches above physiological normal temperature. The temperature versus time history is given by solving the bio-heat transfer equation (BHTE) with the initial condition and boundary conditions. Instead of using the traditional mesh-based algorithm, we introduce a physics-informed neural network (PINN) to solve the inverse control problem. In this work, unknown magnitudes of the deposition power can be estimated during the training process to ensure that the magnitude values can raise up to a predetermined temperature value at the target region.