Liver Volumetry in MRI by Using Fast Marching Algorithm Coupled with 3D Geodesic Active Contour Segmentation

2013 ◽  
pp. 141-157 ◽  
Author(s):  
Hieu Trung Huynh ◽  
Ibrahim Karademir ◽  
Aytekin Oto ◽  
Kenji Suzuki
Keyword(s):  
Active Contour ◽  
Fast Marching ◽  
Geodesic Active Contour ◽  
Contour Segmentation ◽  
Liver Volumetry ◽  
Fast Marching Algorithm

CT liver volumetry using geodesic active contour segmentation with a level-set algorithm

2010 ◽  
Author(s):  
Kenji Suzuki ◽  
Mark L. Epstein ◽  
Ryan Kohlbrenner ◽  
Ademola Obajuluwa ◽  
Jianwu Xu ◽  
...  
Keyword(s):  
Level Set ◽  
Active Contour ◽  
Geodesic Active Contour ◽  
Contour Segmentation ◽  
Liver Volumetry

scholarly journals Computerized Liver Volumetry on MRI by Using 3D Geodesic Active Contour Segmentation

2014 ◽  
Vol 202 (1) ◽  
pp. 152-159 ◽  
Author(s):  
Hieu Trung Huynh ◽  
Ibrahim Karademir ◽  
Aytekin Oto ◽  
Kenji Suzuki
Keyword(s):  
Active Contour ◽  
Geodesic Active Contour ◽  
Contour Segmentation ◽  
Liver Volumetry

scholarly journals Computer-aided measurement of liver volumes in CT by means of geodesic active contour segmentation coupled with level-set algorithms

2010 ◽  
Vol 37 (5) ◽  
pp. 2159-2166 ◽  
Author(s):  
Kenji Suzuki ◽  
Ryan Kohlbrenner ◽  
Mark L. Epstein ◽  
Ademola M. Obajuluwa ◽  
Jianwu Xu ◽  
...  
Keyword(s):  
Level Set ◽  
Active Contour ◽  
Geodesic Active Contour ◽  
Contour Segmentation ◽  
Computer Aided

Active contour segmentation model of combining global and dual-core local fitting energy

2013 ◽  
Vol 33 (4) ◽  
pp. 1092-1095 ◽  
Author(s):  
Jie ZHAO ◽  
Yongmei QI ◽  
Zhengyong PAN
Keyword(s):  
Active Contour ◽  
Contour Segmentation ◽  
Dual Core ◽  
Local Fitting

Quantification of Lymphedema in a Rat Model by 3D-Active Contour Segmentation by Magnetic Resonance Imaging

2012 ◽  
Vol 10 (1) ◽  
pp. 25-29 ◽  
Author(s):  
Tanja Sommer ◽  
Martin Meier ◽  
Frank Bruns ◽  
Reinhard Pabst ◽  
Gerhard Breves ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Rat Model ◽  
Active Contour ◽  
Resonance Imaging ◽  
Contour Segmentation

Expectation–Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology

2010 ◽  
Vol 57 (7) ◽  
pp. 1676-1689 ◽  
Author(s):  
Hussain Fatakdawala ◽  
Jun Xu ◽  
Ajay Basavanhally ◽  
Gyan Bhanot ◽  
Shridar Ganesan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Expectation Maximization ◽  
Active Contour ◽  
Geodesic Active Contour

scholarly journals Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
L. Meziou ◽  
A. Histace ◽  
F. Precioso ◽  
O. Romain ◽  
X. Dray ◽  
...  
Keyword(s):  
Gastrointestinal Tract ◽  
Active Contour ◽  
Standard Technique ◽  
Poor Quality ◽  
Computer Assisted ◽  
Contour Segmentation ◽  
Semiautomatic Segmentation ◽  
Different Types ◽  
Statistical Similarity ◽  
Wireless Capsule

Visualization of the entire length of the gastrointestinal tract through natural orifices is a challenge for endoscopists. Videoendoscopy is currently the “gold standard” technique for diagnosis of different pathologies of the intestinal tract. Wireless capsule endoscopy (WCE) has been developed in the 1990s as an alternative to videoendoscopy to allow direct examination of the gastrointestinal tract without any need for sedation. Nevertheless, the systematic postexamination by the specialist of the 50,000 (for the small bowel) to 150,000 images (for the colon) of a complete acquisition using WCE remains time-consuming and challenging due to the poor quality of WCE images. In this paper, a semiautomatic segmentation for analysis of WCE images is proposed. Based on active contour segmentation, the proposed method introduces alpha-divergences, a flexible statistical similarity measure that gives a real flexibility to different types of gastrointestinal pathologies. Results of segmentation using the proposed approach are shown on different types of real-case examinations, from (multi)polyp(s) segmentation, to radiation enteritis delineation.

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