Improved signal-to-noise ratio in parallel coronary artery magnetic resonance angiography using graph cuts based Bayesian reconstruction.
第一作者:
Gurmeet,Singh
第一单位:
School of Electrical & Computer Engineering, Cornell University, Ithaca, NY, USA. gurmeet@cornell.edu
作者:
医学主题词
成年人(Adult);算法(Algorithms);人工智能(Artificial Intelligence);贝叶斯定理(Bayes Theorem);冠状血管(Coronary Vessels);人类(Humans);图像增强(Image Enhancement);图像解释, 计算机辅助(Image Interpretation, Computer-Assisted);成像, 三维(Imaging, Three-Dimensional);磁共振血管造影术(Magnetic Resonance Angiography);男(雄)性(Male);模式识别, 自动(Pattern Recognition, Automated);结果可重复性(Reproducibility of Results);敏感性与特异性(Sensitivity and Specificity)
DOI
10.1109/IEMBS.2006.260300
PMID
17946852
发布时间
2020-06-09
- 浏览23
Conference proceedings
703-6页
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