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DSA图像冠状动脉血管夹角的测量

Measurement of Coronary Artery Angle in DSA Image
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摘要 目的对数字减影血管造影(Digital Subtraction Angiography,DSA)图像进行处理,获取DSA图像中冠状动脉血管的分叉点及中心线,实现对冠状动脉血管夹角的测量。方法在Matlab平台上对图像进行处理,采用Hessian矩阵提取冠状动脉血管的中心线,通过该中心线矩阵获取血管分叉点及分支血管上两个点的坐标,利用该三点求得冠状动脉血管夹角的平均值。结果对于随机抽取的DSA图像,均可获得高精度的冠状动脉血管中心线及夹角的值。结论冠状动脉血管夹角的自动准确测量,可为操作人员确定体位设置提供线索,还可为临床科研及教学服务,具有一定的实用价值。 Objective The digital subtraction angiography(DSA)image is processed to obtain central line and bifurcation point of coronary artery,and angle between blood vessels.Methods The image is processed on the platform of Matlab.The central line of coronary artery is extracted by Hessian matrix.The coordinates of the bifurcation point and two other points on branch vessels are obtained by central line matrix of DSA image.Then average angle of coronary artery vessels is calculated by the three points.Results For randomly selected DSA images,high accuracy values of coronary artery central line and angle may be obtained.Conclusion Accurate measurement of coronary artery vessel angel may help operators of DSA in setting body position and help researchers in image processing.
作者 王力 孟庆民 孙超 郭永新 姚吉进 宗宝良 焦青 WANG Li;MENG Qingmin;SUN Chao;GUO Yongxin;YAO Jijin;ZONG Baoliang;JIAO Qing(Department of Medical Information Engineering,Shandong First Medical University&Shandong Academy of MedicalSciences,Tai'an,271016;Department of Interventional Radiology,Tai'an Central Hospital,Tai'an,271000;Department of Radiology,Shandong First Medical University&Shandong Academy of Medical Sciences,Tai'an,271016)
出处 《中国医疗器械杂志》 2019年第6期401-404,共4页 Chinese Journal of Medical Instrumentation
基金 国家自然科学基金资助项目(81371531)
关键词 DSA 图像处理 中心线 血管夹角 DSA image processing central line angle of blood vessels
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  • 1李颖超,刘越,王涌天.基于多尺度Hessian矩阵和Gabor滤波的造影图像冠脉中心线提取[J].中国医学影像技术,2007,23(1):133-136. 被引量:13
  • 2冈萨雷斯.数字图像处理[M].阮秋琦,阮宇智,译.2版.北京:电子工业出版社,2007:427.
  • 3Du Y P,Parker D L.Vessel enhancement filtering in three-dimensional MR angiography[J].JMRI,1995,5(3):353-359.
  • 4Du Y P,Parker D L.Vessel enhancement filtering in three-dimensional MR angiograms using long range signal correlation[J].JMRI,1997,7(2):447-450.
  • 5Orkisz M M,Bresson C,Magnin I E,et al.Improved vessel visualization in MR angiography by nonlinear anisotropic filtering[J].Magnetic Resonace in Medicine,1997,37(6):914-919.
  • 6Frangi A F,Niessen W J,Vincken K L,et al.Multiscale vessel enhancement filtering[J].Lecture Notes in Computer Sci-ence,2000,1496:130-137.
  • 7Xu J.A generalized morphological skeleton transform using both internal and external skeleton points[J].Pattern Recogni-tion,2014,47(8):2607-2620.
  • 8Díaz P D,Pea C F,Gutiérrez N M A.Cellular automata in image processing and geometry[M].Berlin:Springer Interna-tional Publishing,2014:47-63.
  • 9Li Q,Sone S,Doi K.Selective enhancement filters for vessels and airway walls in two-and three-dimensional CT scans[J].Medical Physics,2003,30(8):2040-2051.
  • 10Florack L M J,Romony B M T H,Koenderink J J,et al.Scale and the differential structure of images[J].Image and VisionComputing,1992,10(6):376-388.

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