Clustering on image boundary regions for deformable model segmentation

2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano

Volumn 1, Issue , 2004, Pages 436-439

  Stough, Joshua ^a   Pizer, Stephen M ^a   Chaney, Edward L ^a   Rao, Manjari ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER TEMPLATES; DEFORMABLE MODEL SEGMENTATIONS; GEOMETRIC MODELS; INTENSITY PROFILES;

BOUNDARY CONDITIONS; COMPUTATIONAL COMPLEXITY; COMPUTERIZED TOMOGRAPHY; CORRELATION METHODS; GAUSSIAN NOISE (ELECTRONIC); MATHEMATICAL MODELS; MEDICAL IMAGING; OPTIMIZATION; PARAMETER ESTIMATION;

IMAGE SEGMENTATION;

EID: 13844304682     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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3. Montagnat, J., H. Delingette, "Globally constrained deformable models for 3D object reconstruction," Signal Processing, Elsevier, Vol. 71 (1998), pp. 173-186.
4. Pizer, SM, et. al., "Deformable M-Reps for 3D Medical Image Segmentation," Int. J. Comp. Vis., Vol. 55 (2003), Nos. 2/3, pp.85-106.
5. Lorensen, W.E., H.E. Cline, "Marching Cubes: A High Resolution 3D Surface Construction Algorithm," Proc. SIGGRAPH'87, Vol. 21, No. 4, pp.163-169.
6. Davies, Rh. H., et. al., "Shape Discrimination in the Hippocampus using an MDL Model," IPMI'03, Springer LNCS, Vol. 2732, pp. 38-50.