B-Spline Explicit Active Surfaces: An Efficient Framework for Real-Time 3-D Region-Based Segmentation

被引:98
作者
Barbosa, Daniel [1 ,2 ]
Dietenbeck, Thomas [2 ]
Schaerer, Joel
D'hooge, Jan [1 ]
Friboulet, Denis [2 ]
Bernard, Olivier [2 ]
机构
[1] Katholieke Univ Leuven, Lab Cardiovasc Imaging & Dynam, B-3000 Louvain, Belgium
[2] Inserm U630, CREATIS, INSA, UCB,CNRS UMR 5220, F-69621 Villeurbanne, France
关键词
Active contours; B-splines; image segmentation; real-time image processing; variational method; IMAGE SEGMENTATION; ULTRASOUND IMAGES; LEVEL-SET; CONTOURS; REGISTRATION; EVOLUTION; DRIVEN;
D O I
10.1109/TIP.2011.2161484
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A new formulation of active contours based on explicit functions has been recently suggested. This novel framework allows real-time 3-D segmentation since it reduces the dimensionality of the segmentation problem. In this paper, we propose a B-spline formulation of this approach, which further improves the computational efficiency of the algorithm. We also show that this framework allows evolving the active contour using local region-based terms, thereby overcoming the limitations of the original method while preserving computational speed. The feasibility of real-time 3-D segmentation is demonstrated using simulated and medical data such as liver computer tomography and cardiac ultrasound images.
引用
收藏
页码:241 / 251
页数:11
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