Hybrid Vessel Extraction Method Based on Tight-Frame and EM Algorithms by Using 2D Dual Tree Complex Wavelet

Farid ABDOLLAHI; Mehrdad LAKESTANI; Mohsen RAZZAGHI

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Hybrid Vessel Extraction Method Based on Tight-Frame and EM Algorithms by Using 2D Dual Tree Complex Wavelet

机译：使用2D双树复杂小波基于紧帧和EM算法的混合血管提取方法

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The vessel extraction is very important for the vascular disease diagnosis and grading of the stenoses and aneurysms in vessels. This aids in brain surgery and making angioplasty. The presence of noise in the MRA image, etc., turns the vessel extraction into a difficult problem. In this paper, we derive a vessel extraction algorithm based on TFA and EMS algorithms. We prove the convergence of the proposed method within a few iterations. Results of applying the presented method on real 2D MRA images demonstrate that our method is very efficient.

机译：血管提取对于血管疾病的血管疾病诊断和分级对血管中的狭窄和动脉瘤的分级非常重要。这辅助脑手术和制作血管成形术。在MRA图像等中存在噪声，将血管提取转变为难题。在本文中，我们推出了一种基于TFA和EMS算法的血管提取算法。我们在几个迭代中证明了所提出的方法的融合。在真正的2D MRA图像上应用所呈现的方法的结果表明我们的方法非常有效。

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来源
《Informatica》 |2021年第1期|1-22|共22页
作者
Farid ABDOLLAHI; Mehrdad LAKESTANI; Mohsen RAZZAGHI;
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作者单位

Department of Applied Mathematics Faculty of Mathematical Sciences University of Tabriz Tabriz Iran;

Department of Applied Mathematics Faculty of Mathematical Sciences University of Tabriz Tabriz Iran;

Department of Mathematics and Statistics Mississippi State University MS 39762 USA;

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收录信息美国《科学引文索引》(SCI);
原文格式 PDF
正文语种 eng
中图分类
关键词
VESSEL extraction; MRA images; TFA algorithm; EMS algorithm;

机译：血管提取;MRA图像;TFA算法;EMS算法;

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Hybrid Vessel Extraction Method Based on Tight-Frame and EM Algorithms by Using 2D Dual Tree Complex Wavelet

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