{"title":"三维超声心动图预处理的心室容积估计","authors":"F. Brancaleoni, K. Mikula, A. Sarti, C. Lamberti","doi":"10.1109/CIC.1997.647893","DOIUrl":null,"url":null,"abstract":"A method for left ventricular volume estimation based on 3D echographic data is presented. Pre-processing of 3D data is performed by means of two different nonlinear diffusion techniques: anisotropic diffusion and geometrical diffusion (mean curvature motion). Anisotropic diffusion, which assumes a high diffusion velocity in region with low brightness gradient and vice-versa, produces a filtering effect without smoothing the edges. On the contrary, geometrical diffusion, which assumes a diffusion velocity according to local curvature, produces a smoothing of surfaces. The ventricular volume is estimated through a floodfill operation and divergence theorem.","PeriodicalId":228649,"journal":{"name":"Computers in Cardiology 1997","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"3D echocardiography pre-processing for ventricular volume estimation\",\"authors\":\"F. Brancaleoni, K. Mikula, A. Sarti, C. Lamberti\",\"doi\":\"10.1109/CIC.1997.647893\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method for left ventricular volume estimation based on 3D echographic data is presented. Pre-processing of 3D data is performed by means of two different nonlinear diffusion techniques: anisotropic diffusion and geometrical diffusion (mean curvature motion). Anisotropic diffusion, which assumes a high diffusion velocity in region with low brightness gradient and vice-versa, produces a filtering effect without smoothing the edges. On the contrary, geometrical diffusion, which assumes a diffusion velocity according to local curvature, produces a smoothing of surfaces. The ventricular volume is estimated through a floodfill operation and divergence theorem.\",\"PeriodicalId\":228649,\"journal\":{\"name\":\"Computers in Cardiology 1997\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers in Cardiology 1997\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIC.1997.647893\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in Cardiology 1997","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIC.1997.647893","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D echocardiography pre-processing for ventricular volume estimation
A method for left ventricular volume estimation based on 3D echographic data is presented. Pre-processing of 3D data is performed by means of two different nonlinear diffusion techniques: anisotropic diffusion and geometrical diffusion (mean curvature motion). Anisotropic diffusion, which assumes a high diffusion velocity in region with low brightness gradient and vice-versa, produces a filtering effect without smoothing the edges. On the contrary, geometrical diffusion, which assumes a diffusion velocity according to local curvature, produces a smoothing of surfaces. The ventricular volume is estimated through a floodfill operation and divergence theorem.