DocumentCode :
2804941
Title :
3D segmentation of the liver using free-form deformation based on boosting and deformation gradients
Author :
Zhang, Hong ; Yang, Lin ; Foran, David J. ; Nosher, John L. ; Yim, Peter J.
Author_Institution :
Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ, USA
fYear :
2009
fDate :
June 28 2009-July 1 2009
Firstpage :
494
Lastpage :
497
Abstract :
This paper presents a novel automatic 3D hybrid segmentation approach based on free-form deformation. The algorithms incorporate boosting and deformation gradients to achieve reliable liver segmentation of Computed Tomography (CT) scans. A free-form deformable model is deformed under the forces originating from boosting and deformation gradients. The basic idea of the scheme is to combine information from intensity and shape prior knowledge to calculate desired displacements to the liver boundary on vertices of deformable surface. Boosting classifies the 3D image into a binary mask and the edgeflow generates a force field from the mask. The deformable surface deforms iteratively according to the force field. Deformation gradients cast restriction at each deformation step. The deformation converges to a stable status to achieve the final segmentation surface.
Keywords :
computerised tomography; image segmentation; iterative methods; liver; medical image processing; 3D image classification; automatic 3D hybrid segmentation approach; binary mask; boosting; computed tomography scans; deformation gradients; free-form deformation; iterative method; liver; Active shape model; Biomedical engineering; Boosting; Computed tomography; Deformable models; Image segmentation; Liver; Principal component analysis; Robustness; Volume measurement; Boosting; CT; Liver Image Segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
ISSN :
1945-7928
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2009.5193092
Filename :
5193092
Link To Document :
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