A new method for structure recognition in unsubtracted digital angiograms
A new method for structure recognition in unsubtracted digital angiograms
复制标题
一种在未减影数字血管造影中进行结构识别的新方法
DOI：
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发表时间：
1992
期刊：
影响因子：
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通讯作者：
K. Manbeck
中科院分区：
文献类型：
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作者：
R.R. Petrocelli;J. Elion;K. Manbeck
在冠状动脉造影照片中自动寻找动脉的现有方法依赖于预处理。作者开发了一个结构识别系统，这是不敏感的图像质量的变化。该系统利用概率上下文分割技术，该技术在不进行预处理的情况下执行图像分割。这种方法，可变形模板匹配器，结合先验知识的动脉树，编码为数学模板，与一个随机变形过程所描述的隐马尔可夫模型。介绍了该技术的沿着与最近增强的结构识别系统。<<ETX>>
Existing methods for automatically finding arteries in coronary angiograms rely on preprocessing. The authors develop a structure recognition system which is not sensitive to variations in image quality. This system utilizes a probabilistic contextual segmentation technique which performs image segmentation without preprocessing. This approach, the deformable template matcher, combines prior knowledge of the arterial tree, encoded as mathematical templates, with a stochastic deformation process described by a hidden Markov model. An introduction to the technique is presented along with recent enhancements of the structure recognition system.<<ETX>>