结合最大强度投影（MIP）图像与模糊集原理进行血管分割：在时间飞跃法磁共振血管造影（TOF MRA）和对比增强磁共振血管造影（CE-MRA）中的应用
Combining MIP images and fuzzy set principles for vessels segmentation: application to TOF MRA and CE-MRA.
作者信息
Vermandel M, Betrouni N, Viard R, Dewalle A S, Blond S, Rousseau J
机构信息
Inserm, U703, ThiAIS, Institute of Medical Technology, University Hopsital, Lille, France.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:6256-9. doi: 10.1109/IEMBS.2007.4353785.
In this paper, we introduce an approach for selective segmentation of vascular structure which has been applied for intracranial vessels. Based on MIP and fuzzy set principles, this approach brings good results while segmentation is achieved rapidly. The added value of this approach is a minimal user interaction and the taking into account of the volume partial effect. This approach has been evaluated following different experiment: phantom tests, clinical data, and methods comparison.
在本文中，我们介绍了一种用于血管结构选择性分割的方法，该方法已应用于颅内血管。基于最大强度投影（MIP）和模糊集原理，此方法在快速实现分割的同时带来了良好的结果。该方法的附加值在于用户交互最少，并考虑了体积部分效应。此方法已通过不同实验进行评估：模型测试、临床数据和方法比较。
Zotero 插件