An interactive approach to liver segmentation in CT based on deformable model integrated with attractor force

Proceedings - International Conference on Machine Learning and Cybernetics

Volumn 4, Issue , 2011, Pages 1660-1665

  Lu, Jie ^a   Shi, Lin ^a   Deng, Min ^a   Yu, Simon C H ^a   Heng, Pheng Ann ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

CT image; Deformable models; Interactive segmentation; Liver segmentation

Indexed keywords

ANATOMICAL MODELS; CT (COMPUTED TOMOGRAPHY); CT IMAGE; DEFORMABLE MODELS; FORCE COMPONENT; INTERACTIVE APPROACH; INTERACTIVE SEGMENTATION; LIVER SEGMENTATION; MANUAL SEGMENTATION; MESH DEFORMATION; SEGMENTATION RESULTS; SEMI-AUTOMATICS; SHAPE MODEL; SIMPLEX MESH MODEL; VOLUMETRIC DATA;

COMPUTERIZED TOMOGRAPHY; CYBERNETICS; DEFORMATION; IMAGE SEGMENTATION; LEARNING SYSTEMS; TOMOGRAPHY; USER INTERFACES; VOLUMETRIC ANALYSIS;

THREE DIMENSIONAL;

EID: 80155206926     PISSN: 2160133X     EISSN: 21601348     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2011.6016986     Document Type: Conference Paper

References (11)

1. Laszlo Rusko, Gyorgy Bekes, Gabor Nemeth, Marta Fidrich, Fully automatic liver segmentation for contrast-enhanced CT images. MICCAI Workshop on 3D Segmentation in the Clinic: A Grand Challenge, 2007.
2. Eva van Rikxoort, Yulia Arzhaeva, Bram van Ginneken, Automatic segmentation of the liver in computed tomography scans with voxel classification and atlas matching. MICCAI Workshop on 3D Segmentation in the Clinic: A Grand Challenge, 2007.
3. Lamecker, H., Lange, T., Seebass, M., Segmentation of the liver using a 3d statistical shape model. Technical Report ZIB-Report 04-09, Konrad-Zuse-Zentrum Information stechnik Berlin, 2004.
4. Dagmar Kainmueller, Thomas Lange, Hans Lamecker, Shape Constrained Automatic Segmentation of the Liver based on a Heuristic Intensity Model. MICCAI Workshop on 3D Segmentation in the Clinic: A Grand Challenge, 2007.
5. Dieter Seghers, Pieter Slagmolen, Yves Lambelin, Jeroen Hermans, Dirk Loeckx, Frederik Maes, Paul Suetens, Landmark based liver segmentation using local shape and local intensity models. MICCAI Workshop on 3D Segmentation in the Clinic: A Grand Challenge, 2007.
6. Laurent Massoptier and Sergio Casciaro, Fully Automatic Liver Segmentation through Graph-Cut Technique. Proceedings of the 29th Annual International Conference of the IEEE EMBS Cité Internationale, Lyon, France, 2007.
7. Tim Mclnerney, Demetri Terzopoulos, Deformable Models in Medical Image Analysis: A Survey, Medical Image Analysis, 1(2), pp.91-108, 1996.
8. Paul A. Yushkevich, Joseph Piven, Heather Cody Hazlett, Rachel Gimpel Smith, Sean Ho, James C. Gee, and Guido Gerig. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. Neuroimage. 2006 Jul 1; 31(3):1116-28.
9. Willian E. Lorensen, Harvey E. Cline, Marching Cubes: A high resolution 3D surface construction algorithm, Computer Graphics, Vol 21, No. 4, pp.163-169, 1987.
10. Insight Toolkit home page: http://www.itk.org/.
11. H. Delingette, General object reconstruction based on simplex meshes, International Journal of Computer Vision 32(2), pp.111-146, 1999.