scholarly journals Shape Prior Model for Media-Adventitia Border Segmentation in IVUS Using Graph Cut

2013 ◽  
pp. 114-123 ◽  
Author(s):  
Ehab Essa ◽  
Xianghua Xie ◽  
Igor Sazonov ◽  
Perumal Nithiarasu ◽  
Dave Smith
Keyword(s):  
Graph Cut ◽  
Shape Prior ◽  
Prior Model

Graph-Cut-Based Segmentation of Proximal Femur from Computed Tomography Images with Shape Prior

2015 ◽  
Vol 35 (5) ◽  
pp. 594-607 ◽  
Author(s):  
Junbin Huang ◽  
James F. Griffith ◽  
Defeng Wang ◽  
Lin Shi
Keyword(s):  
Computed Tomography ◽  
Proximal Femur ◽  
Graph Cut ◽  
Shape Prior ◽  
Computed Tomography Images

A simple shape prior model for iris image segmentation

2011 ◽  
Author(s):  
Daniel A. Bishop ◽  
Anthony Yezzi, Jr.
Keyword(s):  
Image Segmentation ◽  
Shape Prior ◽  
Simple Shape ◽  
Prior Model ◽  
Iris Image

SEGMENTATION OF UTERINE FIBROID ON MR IMAGES BASED ON CHAN–VESE LEVEL SET METHOD AND SHAPE PRIOR MODEL

2014 ◽  
Vol 26 (02) ◽  
pp. 1450030 ◽  
Author(s):  
Hassan Khotanlou ◽  
Alireza Fallahi ◽  
Mohammad Ali Oghabian ◽  
Mohammad Pooyan
Keyword(s):  
Level Set Method ◽  
Level Set ◽  
Uterine Fibroids ◽  
Shape Prior ◽  
Mr Images ◽  
Initial Region ◽  
Artery Embolization ◽  
Shape Model ◽  
Prior Model ◽  
Accurate Treatment

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.

Adaptive shape prior in graph cut image segmentation

2013 ◽  
Vol 46 (5) ◽  
pp. 1409-1414 ◽  
Author(s):  
Hui Wang ◽  
Hong Zhang ◽  
Nilanjan Ray
Keyword(s):  
Image Segmentation ◽  
Graph Cut ◽  
Shape Prior

Prostate contours delineation using interactive directional active contours model and parametric shape prior model

2015 ◽  
Vol 31 (11) ◽  
pp. e02726 ◽  
Author(s):  
Foued Derraz ◽  
Gérard Forzy ◽  
Arnaud Delebarre ◽  
Abdelmalik Taleb-Ahmed ◽  
Mourad Oussalah ◽  
...  
Keyword(s):  
Active Contours ◽  
Shape Prior ◽  
Prior Model

Parametric shape prior model used in image segmentation

2016 ◽  
Vol 27 (5) ◽  
pp. 1115-1121 ◽  
Author(s):  
Zhiheng Zhou ◽  
◽  
Ming Dai ◽  
Huiqiang Zhong
Keyword(s):  
Image Segmentation ◽  
Shape Prior ◽  
Prior Model
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