{"title":"Algorithm Development of 3-D Tracking System Using Utrasound Imaging","authors":"T. F. Thomas, J. Foster","doi":"10.1109/SSST.1992.712343","DOIUrl":null,"url":null,"abstract":"This paper describes a new 3-D algorithm for tracking blood flow in arteries by detecting the different kinds of platelets patterns and then choosing the most likely direction that the patterns will travel next. This algorithm is based on the C-scan Ultrasound Technique, where this technique takes several slices of a particular area and reconstructs them to get a 3-D image. The algorithm consist of two parts: object detection and velocity estimation routines. The algorithm was tested with simulated data of 3-D images similar to those that might be found in the blood. The results of these test are included in the report. The future research for this 3-D algorithm is to test the algorithm with more simulated data and later with real clinical data to measure the effectiveness of the algorithm.","PeriodicalId":359363,"journal":{"name":"The 24th Southeastern Symposium on and The 3rd Annual Symposium on Communications, Signal Processing Expert Systems, and ASIC VLSI Design System Theory","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 24th Southeastern Symposium on and The 3rd Annual Symposium on Communications, Signal Processing Expert Systems, and ASIC VLSI Design System Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.1992.712343","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
This paper describes a new 3-D algorithm for tracking blood flow in arteries by detecting the different kinds of platelets patterns and then choosing the most likely direction that the patterns will travel next. This algorithm is based on the C-scan Ultrasound Technique, where this technique takes several slices of a particular area and reconstructs them to get a 3-D image. The algorithm consist of two parts: object detection and velocity estimation routines. The algorithm was tested with simulated data of 3-D images similar to those that might be found in the blood. The results of these test are included in the report. The future research for this 3-D algorithm is to test the algorithm with more simulated data and later with real clinical data to measure the effectiveness of the algorithm.