Image analysis – Applications – Biomedical applications
Reexamination Certificate
2007-04-24
2007-04-24
Johns, Andrew W. (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S173000
Reexamination Certificate
active
10898511
ABSTRACT:
A system and method for ground glass nodule (GGN) segmentation is provided. The method comprises: selecting a point in a medical image, wherein the point is located in a GGN; defining a volume of interest (VOI) around the point, wherein the VOI comprises the GGN; removing a chest wall from the VOI; obtaining an initial state for a Markov random field; and segmenting the VOI, wherein the VOI is segmented using the Markov random field.
REFERENCES:
patent: 6138045 (2000-10-01), Kupinski et al.
patent: 2003/0179915 (2003-09-01), Goto
patent: 2004/0086162 (2004-05-01), Doi et al.
patent: 2004/0120561 (2004-06-01), Goto
patent: WO 2004/109580 (2004-12-01), None
Engeler et al., “Ground-Glass Opacity of the Lung Parenchyma: A Guide to Analysis with High-Resolution CT,”American Journal of Roentgenology, vol. 160, No. 2, Feb. 1993, pp. 249-251.
Jang et al., “Bronchioloalveolar Carcinoma: Focal Area of Ground-Glass Attenuation at Thin-Section CT as an Entry Sign,”Radiology, vol. 1999, No. 2, May 1996, pp. 485-488.
Collins et al., “Ground-Glass Opacity at CT: The ABCs,”American Journal of Roentgenology, vol. 169, No. 2, Aug. 1997, pp. 355-367.
Heitmann et al., “Automatic detection of ground glass opacities on lung HRCT using multiple neural networks,”European Radiology, vol. 7, No. 9, Nov. 1997, pp. 1463-1472.
Kuriyama et al., “Ground-Glass Opacity on Thin-Section CT: Value in Differentiating Subtypes of Adenocarcinoma of the Lung,”American Journal of Roentgenology, vol. 173, No. 2, Aug. 1999, pp. 465-469.
Watanabe et al., “Results of Wedge Resection for Focal Bronchioloalveolar Carcinoma Showing Pure Ground-Glass Attenuation on Computed Tomography,”Ann. Thorac. Surg., vol. 73, No. 4, Apr. 2002, pp. 1071-1075.
Nagao et al., “Measurements of Localized Ground-Glass Attenuation on Thin-Section Compound Tomography Images: Correlation With the Progression of Bronchioloalveolar Carcinoma of the Lung,”Investigation Radiology, vol. 37, No. 12, Dec. 2002, pp. 692-697.
Tanino et al., “A Detection Method of Ground Glass Opacities in Chest X-ray CT Images using Automatic Clustering Techniques,”Proc. SPIE vol. 5032: Medical Imaging 2003: Image Processing, Feb. 2003, pp. 1728-1737.
Li Zhang, et al., “Consistent Interactive Segmentation of Pulmonary Ground Glass Nodules Identified in CT Studies,” Proc. SPIE Int. Soc. Opt. Eng., vol. 5370, May 12, 2004 pp. 1709-1719 XP002302735.
Li Fan et al., “Automatic Detection of Lung Nodules from multi-slice low-dose CT images” Proceedings of the SPIE— the International Society for Optical Engineering SPIE-Int. Soc. Opt. Eng USA, vol. 4322, Jul. 3, 2001, pp. 1818-1835, XP002302736.
Choe S. M. et al. “Volumetric Object Reconstruction Using the 3D-MRF Model-Based Segmentation” IEEE Transactions On Medical Imaging, IEEE Inc. New York, US, vol. 16, No. 6, Dec. 1, 1997, pp. 887-892, XP000738200.
Li H. D. et al., “Markov Random Field For Tumor Detection In Digital Mammography,” IEEE Transactions On Medical Imaging, IEEE Inc., New York, US, vol. 14, No. 3, Sep. 1, 1995, pp. 565-576, XP000527218.
Held K. et al., “Markov random field segmentation of brain MR images,” IEEE Transactions On Medical Imaging IEEE USA, vol. 16, No. 6, Dec. 1997, pp. 878-886, XP002302737.
Takizawa H., et al., “Recognition of lung nodules from X-ray CT images using 3D Markov random field models,” Pattern Recognition, 2002. Proceedings, 16thInternational Conference On Quebec City, Que., Canada Aug. 11-15, 2002, Los Alamitos, CA, USA, IEEE Comput. Soc, US, Aug. 11, 2002, pp. 99-102, XP010613284.
International Search Report.
Fang Ming
Zhang Li
F. Chau & Associates LLC
Johns Andrew W.
Paschburg Donald B.
Siemens Medical Solutions USA , Inc.
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