{"title":"三维超声数据可视化","authors":"G. Sakas, L. Schreyer, M. Grimm","doi":"10.1109/VISUAL.1994.346294","DOIUrl":null,"url":null,"abstract":"3D ultrasound is one of the most interesting non-invasive, non-radiative tomographic techniques. Rendering 3D models from such data is not straightforward due to the noisy, fuzzy nature of ultrasound imaging containing a lot of artefacts. We first apply speckle, median and gaussian prefiltering to improve the image quality. Using several semi-automatic segmentation tools we isolate interesting features within a few minutes. Our improved surface-extraction procedure enables volume rendering of high quality within a few seconds on a normal workstation, thus making the complete system suitable for routine clinical applications.<<ETX>>","PeriodicalId":273215,"journal":{"name":"Proceedings Visualization '94","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Visualization of 3D ultrasonic data\",\"authors\":\"G. Sakas, L. Schreyer, M. Grimm\",\"doi\":\"10.1109/VISUAL.1994.346294\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"3D ultrasound is one of the most interesting non-invasive, non-radiative tomographic techniques. Rendering 3D models from such data is not straightforward due to the noisy, fuzzy nature of ultrasound imaging containing a lot of artefacts. We first apply speckle, median and gaussian prefiltering to improve the image quality. Using several semi-automatic segmentation tools we isolate interesting features within a few minutes. Our improved surface-extraction procedure enables volume rendering of high quality within a few seconds on a normal workstation, thus making the complete system suitable for routine clinical applications.<<ETX>>\",\"PeriodicalId\":273215,\"journal\":{\"name\":\"Proceedings Visualization '94\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Visualization '94\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VISUAL.1994.346294\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Visualization '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VISUAL.1994.346294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D ultrasound is one of the most interesting non-invasive, non-radiative tomographic techniques. Rendering 3D models from such data is not straightforward due to the noisy, fuzzy nature of ultrasound imaging containing a lot of artefacts. We first apply speckle, median and gaussian prefiltering to improve the image quality. Using several semi-automatic segmentation tools we isolate interesting features within a few minutes. Our improved surface-extraction procedure enables volume rendering of high quality within a few seconds on a normal workstation, thus making the complete system suitable for routine clinical applications.<>