[1]邵欣,尹清波,鲁明羽.基于EMD和模极大值的造影图像血管提取[J].智能系统学报编辑部,2015,10(6):851-857.[doi:10.11992/tis.201303032]
SHAO Xin,YIN Qingbo,LU Mingyu.Vessels extraction in coronary angiogram based on empirical mode decomposition[J].CAAI Transactions on Intelligent Systems,2015,10(6):851-857.[doi:10.11992/tis.201303032]
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SHAO Xin,YIN Qingbo,LU Mingyu.Vessels extraction in coronary angiogram based on empirical mode decomposition[J].CAAI Transactions on Intelligent Systems,2015,10(6):851-857.[doi:10.11992/tis.201303032]
基于EMD和模极大值的造影图像血管提取
《智能系统学报》编辑部[ISSN 1673-4785/CN 23-1538/TP] 卷:
10
期数:
2015年第6期
页码:
851-857
栏目:
学术论文—机器感知与模式识别
出版日期:
2015-12-25
- Title:
- Vessels extraction in coronary angiogram based on empirical mode decomposition
- Keywords:
- vessels extraction; empirical mode composition; coronary angiogram; characteristics extraction; connected region; interlayer reference; vascular remodeling; image layer
- 分类号:
- TP39
- 摘要:
- 针对冠脉造影图像噪音大且血管边缘模糊问题,提出一种基于经验模态分解的冠脉造影图像血管提取方法以较完整有效地提取出造影图像中的血管信息。该方法首先对图像预处理后的造影图像进行经验模态分解,将其分解成若干图像层,保留包含血管信息的图像层并丢弃含非血管信息图像层;其次对保留的图像层进行血管特征提取,依据连通区域的一系列属性来提取图像层中血管信息以获取清晰明显的血管段;最后通过层间信息相互参照,重构血管脉络明显的心血管图像。实验证明了方法有很高的精确度和实际的医用价值。
- Abstract:
- In this paper, we present a new vascular characteristics extraction method based on empirical mode decomposition. The proposed method overcomes the problems of noise and the blurred vascular edge generally encountered in the image processing procedure. This method uses empirical mode decomposition to resolve the coronary angiogram into several image layers, retaining the layers that contain blood vessel information and discarding layers that contain only background information. Clear and distinct vessel segments are then extracted from the reserved image layers, based on the connected region’s properties. Finally, the coronary angiogram is reconstructed according to the information extracted from the reserved layers. The experimental results prove that this method has high accuracy and practical medical value.
- 参考文献/References:
-
[1] ZHOU Shoujun, YANG Jian, WANG Yongtian, et al. Automatic segmentation of coronary angiograms based on fuzzy inferring and probabilistic tracking[J]. Biomedical Engineering Online, 2010, 9:40.
[2] YANG Guanyu, KITSLAAR P, FRENAY M, et al. Automatic centerline extraction of coronary arteries in coronary computed tomographic angiography[J]. The International Journal of Cardiovascular Imaging, 2011, 28(4):921-933.
[3] MARIN D, AQUINO A, GEGUNDEZ-ARIAS M E, et al. A new supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features[J]. IEEE Transactions on Medical Imaging, 2011, 30(1):146-158.
[4] Van Der ZWET P M J, NETTESHEIM M, GERBRANDS J J, et al. Derivation of optimal filters for the detection of coronary arteries[J]. IEEE Transactions on Medical Imaging, 1998, 17(1):108-120.
[5] WANG Li, BHALERAO A, WILSON R. Analysis of retinal vasculature using a multiresolution Hermite model[J]. IEEE Transactions on Medical Imaging, 2007, 26(2):137-152.
[6] RANGAYYAN R M, AYRES F J, OLOUMI F, et al. Detection of blood vessels in the retina with multiscale Gabor filters[J]. Journal of Electronic Imaging, 2008, 17(2):023018.
[7] GREENSPAN H, LAIFENFELD M, EINAV S, et al. Evaluation of center-line extraction algorithms in quantitative coronary angiography[J]. IEEE Transactions on Medical Imaging, 2001, 20(9):928-941.
[8] 康文炜. 冠状动脉造影图像的分割方法研究[D]. 长春:吉林大学, 2010. KANG Wenwei. The segmentation methods of coronary angiogram images[D]. Changchun, China:Jilin University, 2010.
[9] 周寿军, 杨俊, 陈武凡, 等. 一种从X射线血管造影图像中自动分割冠状动脉的新方法[J]. 中国科学 E辑:信息科学, 2007, 37(12):1531-1543. ZHOU Shoujun, YANG Jun, CHEN Wufan, et al. New approach to the automatic segmentation of coronary artery in X-ray angiograms[J]. Science in China Series F:Information Sciences, 2008, 51(1):25-39.
[10] SHIH M Y, TSENG D C. A wavelet-based multiresolution edge detection and tracking[J]. Image and Vision Computing, 2005, 23(4):441-451.
[11] 贾桂锋, 袁胜发, 唐成文. 基于高阶导数改进的经验模态分解算法[J]. 数据采集与处理, 2012, 27(1):117-120. JIA Guifeng, YUAN Shengfa, TANG Chengwen. Modified empirical mode decomposition algorithm based on higher derivative[J]. Journal of Data Acquisition & Processing, 2012, 27(1):117-120.
[12] 钟佑明, 赵强, 周建庭. 实时经验模态分解的实现方法[J]. 振动、测试与诊断, 2012, 32(1):68-72.ZHONG Youming, ZHAO Qiang, ZHOU Jianting. Application of residual-based cumulative sum control charts for detecting faults in autocorrelated processes[J]. Journal of Vibration, Measurement & Diagnosis, 2012, 32(1):68-72.
[13] 林玉荣, 王强. 基于一维经验模态分解的图像细节提取方法[J]. 吉林大学学报:工学版, 2011, 41(6):1766-1770. LIN Yurong, WANG Qiang. Extracting details from images based on 1-DEMD[J]. Journal of Jilin University:Engineering and Technology Edition, 2011, 41(6):1766-1770.
[14] HARIHARAN H, KOSCHAN A, ABIDI B, et al. Fusion of visible and infrared images using empirical mode decomposition to improve face recognition[C]//Proceedings of IEEE International Conference on Image Processing. Atlanta, GA:IEEE, 2006:2049-2052.
备注/Memo
收稿日期:2013-03-20;改回日期:。
基金项目:国家自然科学基金资助项目(61175053,61272369);中央高校基本科研业务费基金主项目(2011QN126).
通讯作者:邵欣.E-mail:shaoxin2123@163.com.
更新日期/Last Update:
1900-01-01