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. PDF  XML

中文翻译：

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二维双树复小波的基于紧框架和EM算法的混合血管提取方法

血管提取对于血管疾病的诊断以及血管狭窄和动脉瘤的分级非常重要。这有助于脑部手术和血管成形术。在MRA图像等中存在噪声，使得血管提取成为困难的问题。在本文中，我们导出了基于TFA和EMS算法的血管提取算法。我们在几次迭代中证明了该方法的收敛性。在真实的2D MRA图像上应用提出的方法的结果表明，我们的方法非常有效。PDF XML