Image analysis – Pattern recognition – Feature extraction
Reexamination Certificate
2004-06-16
2009-08-18
Bella, Matthew C (Department: 2624)
Image analysis
Pattern recognition
Feature extraction
C382S174000, C382S206000
Reexamination Certificate
active
07577298
ABSTRACT:
A method for estimating regions of detected candidates identified in a response image of an object created from a scanned Computerized Tomography image is disclosed. The regions are used to generate features. Voxels proximate to a detection center of the object are sampled. A determination is made as to which of the sampled voxels include a region surrounding the detection center. Features that characterize the region are collected.
REFERENCES:
patent: 3760644 (1973-09-01), Jullien-Davin
patent: 5761334 (1998-06-01), Nakajima et al.
patent: 5920319 (1999-07-01), Vining et al.
patent: 6592033 (2003-07-01), Jennings et al.
patent: 7133041 (2006-11-01), Kaufman et al.
patent: 7194117 (2007-03-01), Kaufman et al.
Sharghi et al., A Novel Method for Accelerating the Visualisation Process Used in Virtual Colonoscopy,Jul. 25-27, 2001, Fifth International Conference on Information Visualisation, 2001,pp. 167-172.
Kilday et al., Classifying Mammographic Lesions Using Computerized Image Analysis, Dec. 1993, IEEE Transactions on Medical Imaging, vol. 12, pp. 664-669.
Smith et al., “American Cancer Society Guidelines for the Early Detection of Cancer: Update of Early Detection Guidelines for Prostrate, Colorectal and Endometrial Cancers”, CA Cancer J Clin 2001 51: pp. 38-75.
Pickhardt et al., “Computed tomographic virtual colonscopy to screen for colorectal neoplasia in asymptomatic adults”, N. Engl. J Med 2003, Dec. 4 349(23): 2191-200.
Yoshida et al., “Three-Dimensional Computer-Aided Diagnosis Scheme for Detection of colonic polyps”, IEEE Transactions on Medical Imaging 2001: 20:1261-74.
Gokturk et al., “A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography”, IEEE Trans. On Medical Imaging, Dec. 2001: 1251-60.
Summers et al., “Automated polyp detection at CT colonography: feasibility assessment in a human population”, Radiology 2001, 219:51-9.
Kiss et al., “Computer Aided Diagnosis for CT Colonography via Slope Density Functions” In: Ellis R and Peters T, editors, MICCAI 2003, vol. 2878, pp. 746-753.
Li et al., “Practical automated polyp detection scheme for CT colonography”, In: Chakraborty DP and Eckstein MP, editors. SPIE Medical Imaging 2004, Proceedings of SPIE vol. 5372.
Nappi et al., “New high-performance CAD scheme for the detection of polyps in CT colonography”. In: Fitzpatrick JM and Sonka M, editors. SPIE Medical Imaging 2004. Proceedings of SPIE vol. 5370.
Waye et al., “Small colon polyps”, AM J Gastroenterol, Feb. 1988 83(2): 120-2.
Iordanescu et al., “Automatic colon segmentation in CTCCAD”, In: Amini AA and Manduca A, editors. SPIE Medical Imaging 2004. Proceedings of SPIE vol. 5369.
Yee et al., “Colorectal Neoplasia: Performance Characteristics of CT Colonography for Detection in 300 Patients”, Radiology 2001 219(3): 685-92.
Acar et al., “Using Optical Flow Fields For Polyp Detection in Virtual Colonoscopy”, Medical Imaging Computing and Computer-Assisted Intervention—MICCAI 2001, Utrecht, Netherlands, Oct. 14-17, 2001, LNCS 2208, pp. 637-644.
Jerebko et al., “Computer aided polyp detection in CT colonography using an ensemble of support vector machines”, 5thInt'l Workshop on Computer-Aided Diagnosis, Jun. 2003.
Paik et al., “Computer aided detection of polyps in CT colonography: method and free-response ROC evaluation of performance”, Radiology 2000; 217 (P): 370.
Nappi et al., “Feature-guide analysis for reduction of false positives in CAD of polyps for CT colonography”, Medical Physics 2002.
Paik et al., “Evaluation of computer-aided detection in CT colonography: potential application to a screening population”, Radiology 2001; 221(P): 332.
Kiraly Atilla Peter
Novak Carol L.
Bella Matthew C
Rosario Dennis
Siemens Medical Solutions USA , Inc.
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