Automated generation of curved planar reformations from volume data: method and evaluation.
Automated generation of curved planar reformations from volume data: method and evaluation.
复制标题
从体积数据自动生成曲面重组：方法和评估。
DOI：
10.1148/radiol.2231010441
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发表时间：
2002
期刊：
影响因子：
19.7
通讯作者：
Rubin,GeoffreyD
中科院分区：
文献类型：
--
作者：
Raman,Raghav;Napel,Sandy;Beaulieu,ChristopherF;Bain,EricS;JeffreyJr,RBrooke;Rubin,GeoffreyD
作者开发并评估了一种利用CT血管成像数据自动创建交互式血管曲面重建的方法。该方法将用户交互时间从15分钟减少到2分钟，减少了86%。专家评审员被要求表明他们对区分自动创建的图像和临床质量的手动生成的图像的信心。受试者工作特征曲线下面积为0.45(95%可信区间：0.39，0.51)，等价性检验表明评价者不能区分图像。他们还将图像质量评级为与手动方法相同，并在自动创建的图像上发现更少的伪影。自动化方法以更少的时间和精力快速地产生同等质量的曲面重建。补充material:radiology.rsnajnls.org/cgi/content/full/2231010441/DC1.©RSNA，2002年
The authors developed and evaluated a method to automatically create interactive vascular curved planar reformations with computed tomographic (CT) angiographic data. The method decreased user interaction time by 86%, from 15 to 2 minutes. Expert reviewers were asked to indicate their confidence in differentiating automatically created images from clinical-quality manually produced images. The area under the receiver operating characteristic curve was 0.45 (95% CI: 0.39, 0.51), and a test of equivalency indicated that reviewers could not distinguish between images. They also graded image quality as equivalent to that with manual methods and found fewer artifacts on automatically created images. Automatic methods rapidly produce curved planar reformations of equivalent quality with reduced time and effort.Supplemental material:radiology.rsnajnls.org/cgi/content/full/2231010441/DC1.© RSNA, 2002
影响因子：
3
作者：
J. Eisenberg;D. Nicklin
通讯作者：
D. Nicklin
影响因子：
3
作者：
R. C. Mendenhall;C. Moynihan;S. Radecki
通讯作者：
S. Radecki
办公室护理的跨专业差异
影响因子：
3
作者：
H. Greenwald;M. L. Peterson;L. Garrison;L. Hart;I. Moscovice;T. Hall;E. Perrin
通讯作者：
E. Perrin