冠脉造影图像序列的时空滤波

doi:10.11772/j.issn.1001-9081.2015.06.1734

计算机应用 ›› 2015, Vol. 35 ›› Issue (6): 1734-1738.DOI: 10.11772/j.issn.1001-9081.2015.06.1734

冠脉造影图像序列的时空滤波

周镇镇¹, 孙丰荣¹, 宋尚玲², 王丽新¹, 栾玉环¹, 姚桂华³

1. 山东大学信息科学与工程学院, 济南 250100;
2. 山东大学第二医院设备部, 济南 250033;
3. 山东大学齐鲁医院心内科, 济南 250012

收稿日期:2015-01-05 修回日期:2015-03-24 发布日期:2015-06-12
通讯作者: 孙丰荣(1969-),男,山东泰安人,教授,博士,主要研究方向:医学图像处理;sunfr@sdu.edu.cn
作者简介:周镇镇(1991-),女,山东聊城人,硕士研究生,主要研究方向:医学图像处理;宋尚玲(1978-),女,山东淄博人,博士,主要研究方向:计算机视觉、生物特征识别;王丽新(1991-),女,山东聊城人,硕士研究生,主要研究方向:医学图像处理;栾玉环(1987-),女,山东烟台人,硕士,主要研究方向:医学图像处理;姚桂华(1969-),男,山东济南人,主任医师,博士,主要研究方向:心血管疾病的诊断与治疗。
基金资助:
国家自然科学基金资助项目(61071053);山东省自然科学基金资助项目(ZR2014FM006)。

Spatial-temporal filtering for coronary angiography image sequence

ZHOU Zhenzhen¹, SUN Fengrong¹, SONG Shangling², WANG Lixin¹, LUAN Yuhuan¹, YAO Guihua³

1. School of Information Science and Engineering, Shandong University, Jinan Shandong 250100, China;
2. Equipment Department, The Second Hospital of Shandong University, Jinan Shandong 250033, China;
3. Cardiology Department, Qilu Hospital of Shandong University, Jinan Shandong 250012, China

Received:2015-01-05 Revised:2015-03-24 Published:2015-06-12

摘要/Abstract

摘要：

为了降低冠脉造影图像的噪声、提高冠心病临床诊断的准确率,达到低X-射线辐射剂量的前提下获得高质量图像的临床应用目的,提出一种冠脉造影图像序列的时空滤波方法。将小波降噪中的阈值降噪思想引入到快速离散正交S变换(FDOST)中,提出了基于FDOST的软阈值降噪算法对冠脉造影图像进行空域滤波;使用小波降噪对冠脉造影图像序列进行时域滤波,充分利用小波降噪的时间平滑性;加入预处理环节,使用海森矩阵增强冠脉造影图像中的线状结构。仿真及实验结果表明了降噪后的图像信噪比和对比度相比原图像大幅提高,说明了该方法适用于低剂量辐射下的冠脉造影图像序列降噪。

关键词: 冠脉造影, 时空滤波, 快速离散正交S变换, 小波变换, 软阈值降噪算法, 海森矩阵

Abstract:

In order to reduce the noise of coronary angiography image sequence, enhance the diagnostic accuracy for coronary heart disease, and eventually acquire superior image quality under low X-ray dose, a method of spatial-temporal filtering for coronary angiography images was proposed. By introducing the idea of threshold noising in wavelet denoising into the Fast Discrete Orthonormal Stockwell Transform (FDOST), a soft-threshold denoising algorithm based on FDOST was proposed for the spatial denoising of coronary angiography images. The conventional wavelet denoising was used for temporal denoising of coronary angiography images, taking advantage of its time smoothing feature. Hessian matrix was used in pre-processing to track the line-like structure of coronary angiography images. The simulation and experimental results show that the signal-to-noise ratio and contrast-to-noise ratio of the denoised images are improved significantly compared with the original image, and the proposed method is suitable for the denoising of low-dose coronary angiography image sequence.

Key words: coronary angiography, spatial-temporal filtering, Fast Discrete Orthonormal Stockwell Transform (FDOST), wavelet transform, soft-thresholding-based denoising method, Hessian matrix

中图分类号:

TP391.41

周镇镇, 孙丰荣, 宋尚玲, 王丽新, 栾玉环, 姚桂华. 冠脉造影图像序列的时空滤波[J]. 计算机应用, 2015, 35(6): 1734-1738.

ZHOU Zhenzhen, SUN Fengrong, SONG Shangling, WANG Lixin, LUAN Yuhuan, YAO Guihua. Spatial-temporal filtering for coronary angiography image sequence[J]. Journal of Computer Applications, 2015, 35(6): 1734-1738.

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冠脉造影图像序列的时空滤波

Spatial-temporal filtering for coronary angiography image sequence

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