Semi-Automatic Liver Segmentation Using Improved GVF Snake Model

2010 ◽  
Vol 121-122 ◽  
pp. 435-440 ◽  
Author(s):  
Hui Yan Jiang ◽  
Xi He Gao

Snakes are extensively used in computer vision and Image processing. However, when it comes to the liver segmentation from computed tomography (CT) image, the application of the models is limited because it can not extend to certain boundary indentations of the liver. In order to solve this problem, we developed an improved GVF snake model by adding an external force field which can efficiently attract the initial contour to these depression areas, such as the top of the left lobe of liver. The proposed method includes two steps. Firstly, combined with the threshold method and the morphology operation, our model can acquire the initial contour of the liver. Secondly, we create an imposed external force field through the interaction with the system, and we make the initial contour converge under the influence of both GVF field and imposed external force field to get the accurate contour of the liver. The application of this method on abdominal CT image is demonstrated, both qualitatively and quantitatively.

Author(s):  
FRANK Y. SHIH ◽  
KAI ZHANG

Active contour model, also called snake, adapts to edges in an image. A snake is defined as an energy minimizing spline – the snake's energy depends on its shape and location within the image. Problems associated with initialization and poor convergence to boundary concavities, however, have limited its utility. In this paper, we present a new external force field, named gravitation force field, for the snake model. We associate this force field with edge preserving smoothing to drive the snake for solving the problems. Our gravitation force field uses gradient values as particles to construct force field in the whole image. This force field will attract the active contour toward the edge boundary. The locations of the initial contour are very flexible, such that they can be very far away from the objects and can be inside, outside, or the mixture. The improved snake can converge toward the object boundary in a fast pace.


2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Huiyan Jiang ◽  
Baochun He ◽  
Zhiyuan Ma ◽  
Mao Zong ◽  
Xiangrong Zhou ◽  
...  

A novel method based on Snakes Model and GrowCut algorithm is proposed to segment liver region in abdominal CT images. First, according to the traditional GrowCut method, a pretreatment process using K-means algorithm is conducted to reduce the running time. Then, the segmentation result of our improved GrowCut approach is used as an initial contour for the future precise segmentation based on Snakes model. At last, several experiments are carried out to demonstrate the performance of our proposed approach and some comparisons are conducted between the traditional GrowCut algorithm. Experimental results show that the improved approach not only has a better robustness and precision but also is more efficient than the traditional GrowCut method.


2020 ◽  
Vol 8 (1) ◽  
pp. 453-460 ◽  
Author(s):  
Chao Shen ◽  
Tianle Cheng ◽  
Chunyan Liu ◽  
Lu Huang ◽  
Mengyang Cao ◽  
...  

An external force field-assisted electrochemical exfoliation method was adopted to produce few-layered bismuthene nanosheets (FBNs). These FBNs exhibited a high rate performance and ultra-long cycle life for KIBs anode.


2009 ◽  
Vol 66 (12) ◽  
pp. 527-535
Author(s):  
Yoshinobu NOZUE ◽  
Takashi SAKURAI ◽  
Tatsuya KASAHARA ◽  
Noboru YAMAGUCHI

2011 ◽  
Vol 100 (3) ◽  
pp. 251a
Author(s):  
Silvan C. Türkcan ◽  
Jean-Marc Allain ◽  
Michel R. Popoff ◽  
Antigoni Alexandrou

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