Visualization of 3-D cerebral vascular tree from magnetic resonance angiography images

Qin Zhongyuan, Mou Xuanqin, W. Ping, Cai Yuanlong
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Abstract

This paper presents a general 3-D visualization method of cerebral vascular tree from Magnetic Resonance Angiography (MRA) images. First Gamma value and brightness are modified and each image is turned into binary ones. Then, vessels are extracted by the computation and then adaptive thresholding of region's areas. We stack the vessels to form 3-D volume data. The result is visualized in ANALYZE after linear interpolation using volume rendering. Satisfactory results to real angiographic data are obtained. It is helpful for analyzing and diagnosing the pathological changes of cerebral vessels.
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从磁共振血管造影图像中可视化三维脑血管树
本文提出了一种基于磁共振血管造影(MRA)图像的脑血管树三维可视化方法。首先对伽玛值和亮度进行修改,并将每张图像转换为二值图像。然后,通过计算提取血管,对区域面积进行自适应阈值分割;我们把这些血管堆叠起来,形成三维体积数据。在使用体绘制的线性插值后,结果在ANALYZE中可视化。对真实血管造影数据得到满意的结果。有助于对脑血管病变的分析和诊断。
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