{"title":"基于传感器空间脉冲响应模型的微波热声重构","authors":"Shuangli Liu, Xin Shang, Weijia Wan, Lei Liu","doi":"10.1109/IMBioC52515.2022.9790254","DOIUrl":null,"url":null,"abstract":"Microwave induced thermoacoustic has attracted broad attention in recent years because of its potential for clinical noninvasive detection. The traditional reconstruction algorithms rarely consider ultrasonic sensor characteristics. In this paper, the sensor's electrical impulse response and spatial impulse response are considered in the model-based reconstruction method. The characteristics of the detector can be integrated into the forward model. Then, the geometric relationship between the sensor and the target is applied to build the model matrix to save time building the system dictionary. Numerical simulation results based on full-view and sparse sampling in homogeneous and inhomogeneous media indicate that the proposed model helps to improve the image quality. Validation based on experimental data will be carried out in the follow-up work.","PeriodicalId":305829,"journal":{"name":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sensor Spatial Impulse Response Model-Based Microwave Induced Thermoacoustic Reconstruction\",\"authors\":\"Shuangli Liu, Xin Shang, Weijia Wan, Lei Liu\",\"doi\":\"10.1109/IMBioC52515.2022.9790254\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Microwave induced thermoacoustic has attracted broad attention in recent years because of its potential for clinical noninvasive detection. The traditional reconstruction algorithms rarely consider ultrasonic sensor characteristics. In this paper, the sensor's electrical impulse response and spatial impulse response are considered in the model-based reconstruction method. The characteristics of the detector can be integrated into the forward model. Then, the geometric relationship between the sensor and the target is applied to build the model matrix to save time building the system dictionary. Numerical simulation results based on full-view and sparse sampling in homogeneous and inhomogeneous media indicate that the proposed model helps to improve the image quality. Validation based on experimental data will be carried out in the follow-up work.\",\"PeriodicalId\":305829,\"journal\":{\"name\":\"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMBioC52515.2022.9790254\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMBioC52515.2022.9790254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Microwave induced thermoacoustic has attracted broad attention in recent years because of its potential for clinical noninvasive detection. The traditional reconstruction algorithms rarely consider ultrasonic sensor characteristics. In this paper, the sensor's electrical impulse response and spatial impulse response are considered in the model-based reconstruction method. The characteristics of the detector can be integrated into the forward model. Then, the geometric relationship between the sensor and the target is applied to build the model matrix to save time building the system dictionary. Numerical simulation results based on full-view and sparse sampling in homogeneous and inhomogeneous media indicate that the proposed model helps to improve the image quality. Validation based on experimental data will be carried out in the follow-up work.