Automatic liver segmentation using the random walker algorithm

Informatik aktuell

Volumn , Issue , 2008, Pages 56-61

  Maier, F ^a,b   Wimmer, A ^b,c   Soza, G ^b   Kaftan, J N ^b,d   Fritz, D ^a,b   Dillmann, R ^a  

^a UNIVERSITY OF KARLSRUHE   (Germany)

^b SIEMENS AG   (Germany)

^c UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^d RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY; RANDOM PROCESSES;

COMPUTED TOMOGRAPHY IMAGES; FAT TISSUE; INITIAL SET OF SEEDS; LIVER SEGMENTATION; RANDOM WALKERS; SEED POINT; SEGMENTATION ALGORITHMS; VOXEL INTENSITIES;

IMAGE SEGMENTATION;

EID: 78650823117     PISSN: 1431472X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-78640-5_12     Document Type: Conference Paper

References (5)

1. Soler L, Delingette H, Malandain G, et al. Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery. Comput Aided Surg. 2001;6:131-42.
2. Lamecker H, Lange T, Seebaß M. A statistical shape model for the liver. Proc MICCAI. 2002;2489:421-27.
3. Lim SJ, Jeong YY, Ho YS. Segmentation of the liver using the deformable contour method on CT images. Proc SPIE. 2005;3767:570-81.
4. Grady L. Random walks for image segmentation. IEEE Trans Pattern Anal Mach Intell. 2006;28(11):1768-83.
5. Grady L, Schiwietz T, Aharon S, et al. Random walks for interactive organ segmentation in two and three dimensions: Implementation and validation. Proc MICCAI. 2005;3750:773-80.