Method for segmentation of lesions

Image analysis – Applications – Biomedical applications

Reexamination Certificate

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C382S131000, C382S132000, C382S154000

Reexamination Certificate

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07844087

ABSTRACT:
A method of segmenting a lesion (910) from normal anatomy in a 3-dimensional image comprising the steps of: receiving an initial set of voxels (520) that are contained within the lesion to be segmented; growing a region which includes the lesion from the initial set of voxels; identifying a second set of voxels (530) on a surface of the normal anatomy; determining a surface containing the second set of voxels which demarks a boundary (540) between the lesion and the normal anatomy; and classifying voxels which are part of the lesion.

REFERENCES:
patent: 5187660 (1993-02-01), Civanlar et al.
patent: 5638458 (1997-06-01), Giger et al.
patent: 6246784 (2001-06-01), Summers et al.
patent: 6731782 (2004-05-01), Ashton
patent: 6901277 (2005-05-01), Kaufman et al.
patent: 7103224 (2006-09-01), Ashton
patent: 7130457 (2006-10-01), Kaufman et al.
patent: 7158692 (2007-01-01), Chalana et al.
patent: 7536216 (2009-05-01), Geiger et al.
patent: 2006/0177125 (2006-08-01), Chan et al.
patent: 2006/0274928 (2006-12-01), Collins et al.
patent: WO 2004/081874 (2004-09-01), None
patent: WO 2006/000953 (2006-01-01), None
Lixu Gu et al., “3D Segmentation of Medical Images Using a Fast Multistage Hybrid Algorithm,” International Journal of Computer Assisted Radiology and Surgery: A Journal for Interdisciplinary Research, Development and Applications of Image Guided Diagnosis and Therapy, vol. 1, No. 1, Mar. 1, 2006, pp. 23-31, XP019360745.
O. Colliot et al., “Segmentation of Focal Cortical Dysplasia Lesions on MRI Using Level Set Evolution,” Neuroimage, Academic Press, vol. 32, No. 4, Oct. 1, 2006, pp. 1621-1630, XP005644162.
Nikhil S. Rajguru et al., “Enhanced Level-set Approach to Segmentation of 3-D Heterogeneous Lesions from Dynamic Contrast-Enhanced MR Images,” Image Analysis and Interpretation, 2006 IEEE Southwest Symposium, Mar. 26-28, 2006, pp. 71-75, XP010917528.
Shen et al.; A New Algorithm for Local Surface Smoothing with Application to Chest Wall Nodule Segmentation in Lung CT Data; Medical Imaging 2004, Proceedings of SPIE vol. 5370, pp. 1519-1526.
J.A. Sethian; Leval Set Methods and Fast Marching Methods; University of California, Berkeley, Cambridge University Press, 1999.
Carr et al.; Surface interpolation with radial basis functions for medical imaging; IEEE Transactions on Medical Imaging, vol. XX, No. Y, Feb. 1997, pp. 1-18.
Beatson et al.; Fast Solution of the Radial Basis Function Interpolation Equations: Domain Decomposition Methods; 2000 Society for Industrial and Applied Mathematics, pp. 1717-1740.
Lorensen et al.; Marching Cubes: A High Resolution 3D Surface Construction Algorithm; Computer Graphics, vol. 21, No. 3, 1987, pp. 163-169.
Schall et al.; Surface from Scattered Points: A Brief Survey of Recent Developments; 1stInternational Workshop towards Semantic Virtual Environments, 2005, pp. 138-147.
Wang et al.; Filling holes on locally smooth surfaces reconstructed from point clouds; Image and Vision Computing 25 (2007), pp. 103-113.
Chopp et al.; Computing Minimal Surfaces via Levei Set Curvature Flow; Journal of Computational Physics, vol. 91, 1994, pp. 77-91.
Schlathölter et al., “Simultaneous Segmentation and Tree Reconstruction of the Airways for Virtual Bronchoscopy,” Proceedings of the SPIE, vol. 4684, Feb. 24, 2002, pp. 103-113, XP002385959.
Sebbe et al. “Model-Guided Segmentation of Opacified Thorax Vessel,” Image Processings 2005, IEEE International Conference on Genova, Italy Sep. 11-14, 2005, pp. 25-28, XP010850677.
Bülow et al., “A General Framework for Tree Segmentation and Reconstruction from Medical Volume Data,” Lecture Notes in Computer Science, vol. 3216, Sep. 26, 2004, pp. 533-540, XP002385960.
Pitas et al., “Memory Efficient Propagation-Based Watershed and Influence Zone Algorithms for Large Images,” IEEE Transactions on Image Processing, vol. 9, No. 7, Jul. 2000, XP011025623.
Sethian, J.A., Level Set Methods and Fast Marching Methods, Cambridge University Press, 1999.
Kostis et al, Three-Dimensional Segmentation and Growth-Rate Estimation of Small Pulmonary Nodules in Helical CT Images, IEEE Transactions on Medical Imaging, vol. 22, No. 10, Oct. 2003, pp. 1259-1274.
Perchet et al, Advanced navigation tools for virtual bronchosopy, Image Processing: Algorithms and Systems III Proceedings of the SPIE, vol. 5298, 2004, pp. 147-158.

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