基于多尺度自适应滤波的DSA血管增强 / ZHANG Xinhong, ZHANG Fan, CUI Yanbin Blood vessel enhancement algorithm for DSA images based on adap-tive multi-scale filtering
- Resource Type
- Academic Journal
- Authors
- 张新红; 张帆; 崔延斌; ZHANG Xinhong; ZHANG Fan; CUI Yanbin
- Source
- 计算机工程与应用 / Computer Engineering and Applications. (14):179-185
- Subject
- 数字减影血管造影
血管增强
多尺度滤波
Hessian矩阵
digital subtraction angiography
vessel enhancement
multi-scale filtering
Hessian matrix
- Language
- Chinese
- ISSN
- 1002-8331
数字减影血管造影(DSA)技术在血管疾病的诊断和治疗中起着重要的作用。由于血管结构的几何复杂性,准确地检测血管仍然是一个难题。为了提高DSA图像的视觉质量,提出了一种基于多尺度自适应滤波的DSA血管增强算法。新的血管增强算法基于多尺度空间理论,不仅采用Hessian矩阵的特征值,而且利用特征向量之间的角度进行DSA血管增强。滤波器的参数可以根据图像本身的特征自适应地进行调整。在多尺度迭代过程中,噪声往往被放大,因此滤波器中增加了噪声消除的设计。实验结果表明,该算法具有良好的DSA血管增强性能,可以有效地过滤图像背景和非血管结构,并避免了增强过程中可能发生的血管变形。
Digital Subtraction Angiography(DSA)plays a significant role in the diagnosis and treatment of blood vessel diseases. However, because of the geometrical complexity of blood vessel structures, detecting blood vessels accurately still remains a difficult problem. In this paper, a blood vessel enhancement algorithm is proposed. The new blood vessel enhancement algorithm is based on multi-scale space theory and Hessian matrix. Not only the eigenvalues of Hessian matrix but also the angles between eigenvectors are utilized for the blood vessel enhancement of DSA. The filter parameters are decided adaptively. Eigenvalues of the Hessian matrix are also used for the noise elimination. Experimental results show that the proposed algorithm has a good performance in blood vessel enhancement of DSA images. Image background and non-vascular structures are eliminated effectively and deformation of blood vessels occurred in the enhancement process is avoided.