System and method for robust segmentation of tubular structures in 2d and 3d images

作者: Anna Jerebko , Matthias Wolf , Rachid Fahmi

DOI:

关键词: Terminal (electronics)TopologyDigital imagePath (graph theory)Surface (mathematics)MathematicsAction (physics)Signed distance functionSegmentationStart point

摘要: A method for segmenting tubular structures in medical images includes providing (62) at least a start point and an end digital image volume, minimizing (63) action surface U0(p) which, each p, corresponds to minimal energy integrated along path that starts p0 ends sliding back (64) on the from find connecting terminal points, initializing(65) level set function with points path, evolving (66) of structure about wherein is constrained be close signed distance prevented growing wider than predetermined diameter R, defines structure.

参考文章(14)
Ido Milstein, Gad Miller, Shmuel Akerman, Laurent Cohen, Vessel centerline determination ,(2004)
Juergen Weese, Vladimir Pekar, Stewart Young, Method and apparatus for segmentation of an object ,(2002)
Laurent D. Cohen, Ron Kimmel, Global Minimum for Active Contour Models: A Minimal Path Approach International Journal of Computer Vision. ,vol. 24, pp. 57- 78 ,(1997) , 10.1023/A:1007922224810
J. A. Sethian, A fast marching level set method for monotonically advancing fronts Proceedings of the National Academy of Sciences of the United States of America. ,vol. 93, pp. 1591- 1595 ,(1996) , 10.1073/PNAS.93.4.1591
Thomas Deschamps, Laurent D. Cohen, Fast extraction of minimal paths in 3D images and applications to virtual endoscopy Medical Image Analysis. ,vol. 5, pp. 281- 299 ,(2001) , 10.1016/S1361-8415(01)00046-9
Rashindra Manniesing, Birgitta K. Velthuis, Maarten S. van Leeuwen, Wiro J. Niessen, Skeletonization for reinitialization in level-set-based vascular tree segmentation Medical Imaging 2004: Image Processing. ,vol. 5370, pp. 506- 514 ,(2004) , 10.1117/12.533045
Rongxin Li, Sébastien Ourselin, Combining front propagation with shape knowledge for accurate curvilinear modelling medical image computing and computer assisted intervention. pp. 66- 74 ,(2004) , 10.1007/978-3-540-39903-2_9
C.M. van Bemmel, L.J. Spreeuwers, M.A. Viergever, W.J. Niessen, Level-set-based artery-vein separation in blood pool agent CE-MR angiograms IEEE Transactions on Medical Imaging. ,vol. 22, pp. 1224- 1234 ,(2003) , 10.1109/TMI.2003.817756
Chunming Li, Chenyang Xu, Changfeng Gui, M.D. Fox, Level set evolution without re-initialization: a new variational formulation computer vision and pattern recognition. ,vol. 1, pp. 430- 436 ,(2005) , 10.1109/CVPR.2005.213
N. Hanssen, Z. Burgielski, T. Jansen, M. Lievin, L. Ritter, B.v. Rymon-Lipinski, E. Keeve, Nerves - level sets for interactive 3D segmentation of nerve channels international symposium on biomedical imaging. pp. 201- 204 ,(2004) , 10.1109/ISBI.2004.1398509