A technique of 3D reconstruction of blood vessel's skeleton based on snakes

被引：0
|
作者：
Cao Z.-G. [1 ]
Peng B. [1 ,2 ]
Sang N. [1 ]
Zhang T.-X. [1 ]
机构：
[1] Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology
[2] Designing Institute of Hubei Space Technology Academy
来源：
Jisuanji Xuebao/Chinese Journal of Computers | 2010年 / 33卷 / 03期
关键词：
3D reconstruction; Angiography; GVF(Gradient Vector Flow); Snake model;
D O I：
10.3724/SP.J.1016.2010.00603
中图分类号：
学科分类号：
摘要：
For the 3D reconstruction of blood vessel's skeleton from biplane angiography system, the traditional way requires lots of user interaction to find corresponding points. A method based on Snake model is proposed in this paper. First, multiscale Gabor filter is used to extract the centerlines of blood vessels on the angiography images. Secondly, in order to find corresponding points correctly which are used to initialize Snake, bifurcations on blood vessel's skeleton are chosen to optimize GT(Geometry Translation) matrix. Thirdly, according to the feature of the blood vessels, GVF(Gradient Vector Flow) is utilized as external energy of 3D Snake and the expression of minimizing the external energy is deduced. At last, the Snake iteratively evolve towards the true configuration of the blood vessels, satisfying the constraint of being smooth. The result of experiments indicates: Compared with traditional way, user interaction is reduced and reconstruction performance is improved by this method.
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页码：603 / 612
页数：9
相关论文
共 12 条
  • [1] Sonka M., Hlavac V., Boyle R., Image Processing, Analysis, and Machine Vision, pp. 468-469, (2002)
  • [2] Dumay A.C.M., Reiber J.H.C., Gerbrands J.J., Determination of optimal angiographic viewing angles: Basic principles and evaluation study, IEEE Transactions on Medical Imaging, 13, 1, pp. 13-23, (1994)
  • [3] Fencil L.E., Metz C.E., Propagation and reduction of error in three-dimensional structure determined from biplane views of unknown orientation, Medical Physics, 17, 6, pp. 951-961, (1990)
  • [4] Xiong Y.-G., 3D reconstruction approach based on wavelet analysis in neuro-vision system, Proceedings of the SPIE 4553, Visualization and Optimization Techniques, pp. 100-105, (2001)
  • [5] Molina C., Prause G.P., Radeva P., Sonka M., Catheter path reconstruction from biplane angiography using 3D snakes, Proceedings of the SPIE-Medical Imaging, 3338, pp. 504-512, (1998)
  • [6] Kass M., Witkin A., Terzopouius D., Snakes: Active contour models, International Journal on Computer Vision, 1, 4, pp. 321-331, (1987)
  • [7] Radeva P., Toledo R., Von Land C., Villanueva J., 3D vessel reconstruction from biplane angiograms using snakes, IEEE, Computers in Cardiology, 25, pp. 773-776, (1998)
  • [8] Merle A.B., Finet G., Lienard J., Magnin I.E., 3D reconstruction of the deformable coronary tree skeleton from two X-ray angiographic views, IEEE, Computers in Cardiology, 25, pp. 757-760, (1998)
  • [9] Liu X.-X., Cao Z.-G., Li B.-P., Et al., Automated centerline extraction of angiogram vessels based on multiscale Gabor filters, Journal of Image and Graphics, 10, 12, pp. 1542-1547, (2005)
  • [10] Xu C., Prince J.L., Gradient vector flow: A new external force for snakes, IEEE Transactions on Image Processing, 7, 3, pp. 359-369, (1998)
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