{"title":"Development of user interface for 3D reconstruction algorithm using modified grangeat method","authors":"Satish K. Shah, Nimit Shah","doi":"10.1109/ISCI.2011.5958913","DOIUrl":null,"url":null,"abstract":"Image transformation is one of the important digital image processing techniques widely used in medical science. Typical applications of image transformation include creation of three dimensional volumetric models from two dimensional images. The two dimension images may be obtained energy source used for hard tissue imaging are x-rays. The three dimension models of hard tissue are created by traditional tomography using CT scans. Since scanners are very expensive they are not easily available at most of health care centers. The algorithm presented in the paper is based on two dimensional image data of hard tissues obtained from basic x-rays equipments. It is unique in context of data gathering collected via arbitrary path to impart maximum flexibility for three dimensional models compared to some other approaches. A series of experiments performed with various data sets validates claim MATLAB® platform is used for implementation.","PeriodicalId":166647,"journal":{"name":"2011 IEEE Symposium on Computers & Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Symposium on Computers & Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCI.2011.5958913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Image transformation is one of the important digital image processing techniques widely used in medical science. Typical applications of image transformation include creation of three dimensional volumetric models from two dimensional images. The two dimension images may be obtained energy source used for hard tissue imaging are x-rays. The three dimension models of hard tissue are created by traditional tomography using CT scans. Since scanners are very expensive they are not easily available at most of health care centers. The algorithm presented in the paper is based on two dimensional image data of hard tissues obtained from basic x-rays equipments. It is unique in context of data gathering collected via arbitrary path to impart maximum flexibility for three dimensional models compared to some other approaches. A series of experiments performed with various data sets validates claim MATLAB® platform is used for implementation.