Suri Jasjit S, Liu Kecheng, Reden Laura, Laxminarayan Swamy
Philips Medical Systems, Inc., Cleveland, OH 44143, USA.
IEEE Trans Inf Technol Biomed. 2002 Dec;6(4):324-37. doi: 10.1109/titb.2002.804139.
Vascular segmentation has recently been given much attention. This review paper has two parts. Part I focuses on the physics of magnetic resonance angiography (MRA) generation and prefiltering techniques applied to MRA data sets. Part II of the review focuses on the vessel segmentation algorithms. The first section of this paper introduces the five different sets of receive coils used with the MRI system for magnetic resonance angiography data acquisition. This section then presents the five different types of the most popular data acquisition techniques: time-of-flight (TOF), phase-contrast, contrast-enhanced, black-blood, T2-weighted, and T2*-weighted, along with their pros and cons. Section II of this paper focuses on prefiltering algorithms for MRA data sets. This is necessary for removing the background nonvascular structures in the MRA data sets. Finally, the paper concludes with a clinical discussion on the challenges and the future of the data acquisition and the automated filtering algorithms.
血管分割最近受到了广泛关注。这篇综述文章分为两个部分。第一部分聚焦于磁共振血管造影（MRA）生成的物理学原理以及应用于MRA数据集的预滤波技术。综述的第二部分聚焦于血管分割算法。本文的第一部分介绍了与MRI系统一起用于磁共振血管造影数据采集的五组不同的接收线圈。然后，这部分介绍了五种最流行的数据采集技术：飞行时间（TOF）、相位对比、对比增强、黑血、T2加权和T2*加权，并阐述了它们的优缺点。本文的第二部分聚焦于MRA数据集的预滤波算法。这对于去除MRA数据集中的背景非血管结构是必要的。最后，本文以关于数据采集和自动滤波算法的挑战及未来的临床讨论作为结尾。
