基于仿射变换模型的外周DSA的自动配准

Aff ine Transformation-Based Automatic Registration for Peripheral Digital Subtraction Angiography (DSA)

为了消除外周DSA中的伪影,提出了一种基于仿射变换模型的全自动图像配准算法。利用改进的Harris算法在蒙片中提取特征点并构造特征模板,采用基于直方图能量最大的相似准则在对比片中进行模板匹配,得到蒙片的特征点运动矢量,然后再利用SVD法得到仿射变换模型的最佳参数,最后进行双线性插值对蒙片进行配准。在大于30例图像算法测试中,运动伪影消除良好,且满足临床应用的实时需求。实验结果证明,该方法对外周DSA的伪影能快速可靠有效地消除。

In order to remove the artifacts of peripheral digital subtraction angiography （DSA）, an affine transformation-based automatic image registration algorithm is introduced here. The whole process is described as follows： First, rectangle feature templates are constructed with their centers of the extracted Harris corners in the mask, and motion vectors of the central feature points are estimated using template matching technology with the similarity measure of maximum histogram energy. And then the optimal parameters of the affine transformation are calculated with the matrix singular value decomposition （SVD） method. Finally, bilinear intensity interpolation is taken to the mask according to the specific affine transformation. More than 30 peripheral DSA registrations are performed with the presented algorithm, and as the result, moving artifacts of the images are removed with sub-pixel precision, and the time consumption is less enough to satisfy the clinical requirements. Experimental results show the efficiency and robustness of the algorithm.