A novel level set method for segmentation of left and right ventricles from cardiac MR images

Author(s):  
Yu Liu ◽  
Chunming Li ◽  
Shuxu Guo ◽  
Yihua Song ◽  
Yue Zhao
2014 ◽  
Vol 26 (02) ◽  
pp. 1450030 ◽  
Author(s):  
Hassan Khotanlou ◽  
Alireza Fallahi ◽  
Mohammad Ali Oghabian ◽  
Mohammad Pooyan

Uterine fibroids are common tumors of female pelvis. Uterine artery embolization (UAE) is an effective treatment of symptomatic uterine fibroids by shrinkage of the size of these tumors. Segmentation of the fibroid region is essential for an accurate treatment strategy. Complex fibroids anatomy, nonhomogeneity region and missing boundary in some cases make this task very challenging. In this paper, we present a method to robustly segment these fibroids on magnetic resonance image (MRI). Our method is based on combination of two steps; Chan–Vese level set method and geometric shape prior model. By calculating an initial region inside the fibroid using Chan–Vese level sets method, rough segmentation can be obtained followed by a prior shape model. We found this algorithm efficient, which provides good and reliable result.


2014 ◽  
Vol 25 (8) ◽  
pp. 1967-1987 ◽  
Author(s):  
Van-Truong Pham ◽  
Thi-Thao Tran ◽  
Kuo-Kai Shyu ◽  
Lian-Yu Lin ◽  
Yung-Hung Wang ◽  
...  

2001 ◽  
Vol 20 (5) ◽  
pp. 415-423 ◽  
Author(s):  
S.C. Mitchell ◽  
B.P.F. Lelieveldt ◽  
R.J. van der Geest ◽  
H.G. Bosch ◽  
J.H.C. Reiver ◽  
...  

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