磁共振血管造影中血管外表面的自适应逼近

Adaptive Approximation of Outer Surface of Blood Vessels in Magnetic Resonance Angiography

磁共振血管造影(MRA)中血管的提取在临床诊断分析中有着重要意义。为了获得高精度的血管三维模型,本文提出一个自适应的方法从MRA图像中重构血管的三维表面模型。基于该方法,首先利用边界检测与追踪的方法判定血管的分布区域;其次,对于包含在不同的局部区域内的血管结构,采用不同的等值面片自适应地逼近其外表面;最后,血管表面的一个高精度的三维曲面模型可以重构得到。定量的误差分析以及大量实验结果都表明本文方法的有效性。

In many cases, extraction and visualization of blood vessels in 3D magnetic resonance angiography （MRA） images are important in clinical diagnosis and surgery planning. Thus, this paper proposes a novel method to recon struct highaccuracy outer surface of blood vessels from the 3D MRA. With the method, we first detect such local regions that contain blood structures from 3D image by using a boundary tracking technique. Second, in different lo cal regions, different optimal isosurface patches are computed to adaptively represent outer surface of the contained blood vessels. Finally, all computed isosurface patches form a highaccuracy surface model for outer surface of the whole blood vessel structure are obtained. Error analysis and experimental results illustrate the effectiveness of the proposed method.