J. Baruthio, A. Koenig, F. Wolff, J. P. Annspach, Jacques Chambron, Daniel Grucker
{"title":"电影- mri评价主动脉反流:自动轮廓识别及与其他探查的比较研究","authors":"J. Baruthio, A. Koenig, F. Wolff, J. P. Annspach, Jacques Chambron, Daniel Grucker","doi":"10.1109/CIC.1997.647854","DOIUrl":null,"url":null,"abstract":"Turbulence and high blood velocity produce a signal loss in Cine-MRI. An automatic calculation of the regurgitant signal loss area is developed and results are correlated with the reference scores of severity, supplied by echography and angiography. This algorithm gives the maximal signal loss area. This absolute area leads to better correlations than the mean or the relative (to left ventricle) areas. Correlation between reference grades and grades obtained through visual observation of Cine-MRI is excellent (r=0.87, p<10/sup -5/), but correlation between reference grades and processed Cine-MRI areas is even better (r=0.92, p<10/sup -5/). An analysis of variance confirms a biunique relation between signal loss areas, and reference grades of severity: no doubt that Cine-MRI should avoid invasive methods to diagnose Aortic Regurgitation, and allow a precise quantification.","PeriodicalId":228649,"journal":{"name":"Computers in Cardiology 1997","volume":"136 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of aortic regurgitation with cine-MRI: automatic contour recognition and comparative study with other explorations\",\"authors\":\"J. Baruthio, A. Koenig, F. Wolff, J. P. Annspach, Jacques Chambron, Daniel Grucker\",\"doi\":\"10.1109/CIC.1997.647854\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Turbulence and high blood velocity produce a signal loss in Cine-MRI. An automatic calculation of the regurgitant signal loss area is developed and results are correlated with the reference scores of severity, supplied by echography and angiography. This algorithm gives the maximal signal loss area. This absolute area leads to better correlations than the mean or the relative (to left ventricle) areas. Correlation between reference grades and grades obtained through visual observation of Cine-MRI is excellent (r=0.87, p<10/sup -5/), but correlation between reference grades and processed Cine-MRI areas is even better (r=0.92, p<10/sup -5/). An analysis of variance confirms a biunique relation between signal loss areas, and reference grades of severity: no doubt that Cine-MRI should avoid invasive methods to diagnose Aortic Regurgitation, and allow a precise quantification.\",\"PeriodicalId\":228649,\"journal\":{\"name\":\"Computers in Cardiology 1997\",\"volume\":\"136 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers in Cardiology 1997\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIC.1997.647854\",\"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.1997.647854","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of aortic regurgitation with cine-MRI: automatic contour recognition and comparative study with other explorations
Turbulence and high blood velocity produce a signal loss in Cine-MRI. An automatic calculation of the regurgitant signal loss area is developed and results are correlated with the reference scores of severity, supplied by echography and angiography. This algorithm gives the maximal signal loss area. This absolute area leads to better correlations than the mean or the relative (to left ventricle) areas. Correlation between reference grades and grades obtained through visual observation of Cine-MRI is excellent (r=0.87, p<10/sup -5/), but correlation between reference grades and processed Cine-MRI areas is even better (r=0.92, p<10/sup -5/). An analysis of variance confirms a biunique relation between signal loss areas, and reference grades of severity: no doubt that Cine-MRI should avoid invasive methods to diagnose Aortic Regurgitation, and allow a precise quantification.