{"title":"使用线性换能器阵列的深度学习增强三维光声成像","authors":"Huijuan Zhang, Jun Xia","doi":"10.1364/3d.2022.jw5a.1","DOIUrl":null,"url":null,"abstract":"We utilized deep learning techniques to improve the three-dimensional image resolution of photoacoustic tomography. The improved spatial resolution allows for better visualization of blood vasculature in human breast for cancer screening.","PeriodicalId":286361,"journal":{"name":"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Deep-learning-enhanced three-dimensional photoacoustic imaging using a linear transducer array\",\"authors\":\"Huijuan Zhang, Jun Xia\",\"doi\":\"10.1364/3d.2022.jw5a.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We utilized deep learning techniques to improve the three-dimensional image resolution of photoacoustic tomography. The improved spatial resolution allows for better visualization of blood vasculature in human breast for cancer screening.\",\"PeriodicalId\":286361,\"journal\":{\"name\":\"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/3d.2022.jw5a.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/3d.2022.jw5a.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Deep-learning-enhanced three-dimensional photoacoustic imaging using a linear transducer array
We utilized deep learning techniques to improve the three-dimensional image resolution of photoacoustic tomography. The improved spatial resolution allows for better visualization of blood vasculature in human breast for cancer screening.