{"title":"Novel ultrasonic imaging modality based on circular integral data","authors":"G. Rigaud, O. Olvera-Guerrero, M. Nguyen","doi":"10.1109/RIVF.2013.6719905","DOIUrl":null,"url":null,"abstract":"Among all the existing imaging technologies, ultra-sound imaging is the most widely used, due to its safe, cost-effectiveness, flexible and real-time nature. However for some object configurations involving geometric restrictions, the usual point by point scanning to image an object is not performing efficiently. We propose a solution to this problem based on the use of circular integral data generated along a circular path to reconstruct the image of the object under investigation. Similar circular integral data has occurred in Thermo/Opto/Photo-acoustic tomography as well as in Synthetic Aperture Radar (SAR) imaging where circular integral data is generated along a straight line path to image a landscape on the ground. We present the mathematical background of this new imaging technique, which has an exact reconstruction formula and give comparative simulation results to demonstrate its viability.","PeriodicalId":121216,"journal":{"name":"The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIVF.2013.6719905","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
Among all the existing imaging technologies, ultra-sound imaging is the most widely used, due to its safe, cost-effectiveness, flexible and real-time nature. However for some object configurations involving geometric restrictions, the usual point by point scanning to image an object is not performing efficiently. We propose a solution to this problem based on the use of circular integral data generated along a circular path to reconstruct the image of the object under investigation. Similar circular integral data has occurred in Thermo/Opto/Photo-acoustic tomography as well as in Synthetic Aperture Radar (SAR) imaging where circular integral data is generated along a straight line path to image a landscape on the ground. We present the mathematical background of this new imaging technique, which has an exact reconstruction formula and give comparative simulation results to demonstrate its viability.