Image analysis – Applications – Biomedical applications
Reexamination Certificate
2009-04-20
2011-12-06
Sohn, Seung C (Department: 2878)
Image analysis
Applications
Biomedical applications
C382S173000
Reexamination Certificate
active
08073220
ABSTRACT:
Methods and systems dedicated to automatic object segmentation from image data are provided. In a first step a fuzzy seed set is generated that is learned from training data. The fuzzy seed set is registered to image data containing an object that needs to be segmented from a background. In a second step a random walker segmentation is applied to the image data by using the fuzzy seed set as an automatic seeding for segmentation. Liver segmentation, lung segmentation and kidney segmentation examples are provided.
REFERENCES:
patent: 2005/0069206 (2005-03-01), Ma et al.
patent: 2007/0058865 (2007-03-01), Li et al.
patent: 2008/0317308 (2008-12-01), Wu et al.
patent: 2009/0136103 (2009-05-01), Sonka et al.
Boykov, Y., Jolly, M.P.: Interactive organ segmentation using graph cuts. In: Medical Image Computing and Computer-Assisted Intervention, Pittsburgh, PA (Oct. 2000) 276-286.
Grady, L.: Random walks for image segmentation. IEEE Trans. on Pattern Analysis and Machine Intelligence 28(11) (Nov. 2006) 1768-1783.
Jolly, M.P., Grady, L.: 3D general segmentation in CT. In: Proc. of ISBI 2008, IEEE (May 2008) 796-799.
Held, K., Kops, E.R., Krause, B.J., Wells III, W.M., Kikinis, R., Muller-Gartner, H.W,: Markov random field segmentation of brain MR images. IEEE T-MI 16(6) (1997) 876-886.
Akselrod-Ballin, A., Galun, M., Gomori, M.J., Basri, R., Brandt, A.: Atlas guided identification of brain structures by combining 3D segmentation and SVM classification. In: MICCAI. vol. 2. (2004) 209-217.
van der Lijn, F., den Heijer, T., Breteler, M.M.B., Niessen, W.: Combining graph cuts, atlas registration, and voxel classification for hippocampus segmentation in MR images. In: MMBIA. (2007).
Cuadra, M.B., Pollo, C., Bardera, A., Cuisenaire, O., Villemure, J.G., Thiran, J.P.: Atlas-based segmentation of pathological MR brain images using a model of lesion growth. IEEE T-MI 23(10) (2004) 1301-1314.
Ling, H., Zhou. S.K, Y., Z., Georgescu, B., Suehling, M., Comaniciu. D.: Hierarchical, learning-based automatic liver segmentation. In: CVPR, (2008) 1-8.
Maintz, J.B.A., Viergever, M.: A survey of medical image registration. Medical Image Analysis 2(1) (1998) 1-36.
Grady, L.: Multilabel random walker image segmentation using prior models. In: Proc. of CVPR. (2005) 763-770.
Singaraju, D., Grady, L., Vidal, R.: Interactive image segmentation of quadratic energies on directed graphs. In: Proc. of CVPR 2008, IEEE Computer Society. IEEE (Jun. 2008).
Grady, L., Schwartz, E.L.: Isoperimetric graph partitioning for image segmentation IEEE Trans. on Pat. Anal. and Mach. Int. 28(3) (Mar. 2006) 469-475.
Kainmueller, D., Lange, T., Lamecker., H.: Shape constrained automatic segmentation of the liver based on a heuristic intensity model. In: MICCAI Wshp. 3D Segmentation in the Clinic: A Grand Challenge. (2007).
Rusko, L., Bekes, G., Nemeth, G., Fidrich, M.: Fully automatic liver segmentation for contrast-enhanced CT images. In: MICCAI Wshp. 3D Segmentation in the Clinic: A Grand Challenge. (2007).
Soler, L., Delingette, H., Malandain, G., Montagnat, J., Ayache, N., Koehl, C., Dourthe, O., Malassagne, B., Smith, M., Mutter, D., Marescaux, J.: Fully automatic anatomical, pathological, and functional segmentation from ct scans for hepatic surgery. Computer Aided Surgery 6(3) (2001) 131-142.
Lamecker, H., Lange, T., Seebaee, M.: Segmentation of the liver using a 3D statistical shape model. In: ZIB Tech Report. (2004).
Heimann, T., Munzing, S., Meinzer, H.P., Wolf, I.: A shape-guided deformable model with evolutionary algorithm initialization for 3D soft tissue segmentation. In: IPMI. (2007).
Timothy F. Cootes, Christopher J. Taylor, David H. Cooper, Jim Graham: Active Shape Models—Their Training and Application. Computer Vision and Image Understanding 61(1): 38-59 (1995).
Andrew Hill, Timothy F. Cootes, Christopher J. Taylor: Active Shape Models and the shape approximation problem. Image Vision Comput. 14(8): 601-607 (1996).
Timothy F. Cootes, Gareth J. Edwards, Christopher J. Taylor: Active Appearance Models. ECCV (2) 1998: 484-498.
S. Warfield and A. Robatino and J. Dengler and F. Jolesz and R. Kikinis, Nonlinear Registration and Template Driven Segmentation, chapter 4, pp. 67-84, Progressive Publishing Alternatives, 1998.
Boettger Thomas
Grady Leo
Khamene Ali
Rietzel Eike
Paschburg Donald B.
Siemens Aktiengesellschaft
Sohn Seung C
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