Image analysis – Applications – Biomedical applications
Reexamination Certificate
2004-10-08
2008-10-21
Mehta, Bhavesh (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S131000, C382S132000
Reexamination Certificate
active
07440601
ABSTRACT:
Portions of a virtual colon can be analyzed to identify a normal structure, such as an ileocecal valve. Paradigmatic characteristics of ileocecal valves can be used to identify a digital representation as an ileocecal valve. Upon determination that a digital representation has the characteristics of an ileocecal valve, action can be taken. For example, the digital representation can be removed from a list of polyp candidates.
REFERENCES:
patent: 5611342 (1997-03-01), Widder
patent: 6246784 (2001-06-01), Summers et al.
patent: 6331116 (2001-12-01), Kaufman et al.
patent: 6343936 (2002-02-01), Kaufman et al.
patent: 6345112 (2002-02-01), Summers et al.
patent: 7043064 (2006-05-01), Paik et al.
patent: 7260250 (2007-08-01), Summers et al.
patent: 2002/0097320 (2002-07-01), Zalis
patent: 2004/0064029 (2004-04-01), Summers et al.
patent: 2004/0101182 (2004-05-01), Miller et al.
Johnson et al., CT Colonography: The Next Colon Screening Examination?, 2000, Radiology, pp. 331-341.
U.S. Appl. No. 10/779,210, filed Feb. 13, 2004, Summers et al.
“Attenuation Number,” http://www.amershamhealth.com/medcyclopaedia/medical/Query.asp?CiResultsSize=on&CiResultsSize=on&advancedsearch=true&SearchString=Attenuation+Number&searchimage.x=39&searchimage.y=15, 1 page, website visited on Dec. 12, 2003.
“FAQ: Fuzzy Logic and Fuzzy Expert Systems 1/1” http://www.faqs.org/faqs/fuzzy-logic/part1/, 38 pages, website visited on Feb. 9, 2004.
“Hounsfield Unit,” http://www.amershamhealth.com/medcyclopaedia/medical/Query.asp?CiResultsSize=on&CiResultsSize=on&advancedsearch=true&SearchString=Hounsfield=unit, 1 page, webiste visited on Dec. 12, 2003.
“Iso-Surface Rendering,” available at http://www.cs.sunysb.edu/˜meuller/teaching/cse564/isosurface.pdf, 13 pages, website visited on Feb. 2, 2004.
Fishman et al., “3D Imaging: Principles and Techniques,” Inside InSpace, http://www.insideinspace.com/article3.html, 17 pages, website visited on Feb. 2, 2004.
Cohen, “Note On Active Contour Models and Balloons,”Computer Vision, Graphics, and Image Processing(CVGIP):Image Understand, vol. 53, No. 2, pp. 211-218, Mar. 1991.
Dachman et al., “Sources of false positives in computerized detection of polys in CT colonography,”Radiology225(P):303-304, 2002. (abstract).
El-Amin et al., “Ileocecal valve: spectrum of normal findings at double-contrast barium enema examination,”Radiology227(1):52-8, 2003; Epub Feb. 19, 2003.
Fultz et al., “Differential diagnosis of fat-containing lesions with abdominal and pelvic CT,”RadioGraphics13:1265-1280, 1993.
Hara et al., “Reducing data size and radiation dose for CT colonography,”Am. J. Roentgenol.168:1181-1184, 1997.
Iordanescu et al., “Rectal Tube Detection in CTCCAD,” Radiological Society of North America, Scientific Assembly and Annual Meeting Program, Abstract No. 692, Cover and 1 page, Dec. 2, 2003.
Jerebko et al., “Computer-aided Polyp Detection in CT Colonography Using an Ensemble of Support Vector Machines,”International Congress Series 1256, pp. 1019-1024, Jun. 27, 2003.
Jerebko et al., “Multiple neural network classification scheme for detection of colonic polyps in CT colonography data sets,”Acad. Radiol.10(2):154-60, 2003.
Jerebko et al., “Polyp Segmentation Method for CT Colonography Computer Aided Detection,”Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications, in Proceedings of the SPIE, vol. 5031, pp. 359-369, May 2003.
Jerebko et al., “Radon Transform Based Polyp Segmentation Method for CT Colonography Computer Aided Diagnosis,” Radiological Society of North America, Abstract No. 100, pp. 257-258, 2002.
Jerebko et al., “3D Automatic Colonic Polyp Segmentation Method for CT Colonography,” Radiological Society of North America, Scientific Assembly and Annual Meeting Program, Abstract No. 691, Cover and 1 page, Dec. 2, 2003.
Kass et al., “Snakes: Active Contour Models,”International Journal of Computer Vision, pp. 321-331, 1988.
Malley et al., “Variance reduction for error estimation when classifying colon polys from CT Colonography,”Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications, Anne V. Clough, Amir A. Amini, Editors,Proceedings of SPIEvol. 5031:570-578, 2003.
Masubuchi et al., “The significance of microsatellite instability in predicting the development of metachronous multiple colorectal carcinomas in patients with nonfamilial colorectal carcinoma,”Cancer85(9):1917-24, 1999. (abstract).
Miller et al., “Feature selection for computer-aided polyp detection using genetic algorithms,”Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications, Anne V. Clough, Amir A. Amini, Editors,Proceedings of SPIE, vol. 5031:102-110, 2003.
Na et al., “Automated detection of polyps from multi-slice CT images using 3D morphologic matching algorithm: phantom study,”Medical Imaging 2003: Image Processing, Milan Sonka, J. Michael Fitzpatrick, eds.,Proceedings of SPIE, 5032:877-881, 2003.
Näppi et al., “Automated Detection of Polyps with CT Colonography: Evaluation of Volumetric Features for Reduction of False-Positive Findings,”Academic Radiology, vol. 9, No. 4, pp. 386-397, 2002.
Näppi et al., “Computer-aided detection of polyps in CT colonography: effect of feature-guided polyp segmentation method,”Radiology225(P), Nov. 2002.
Näppi et al., “Computerized detection of colorectal masses in CT colonography based on fuzzy merging and wall-thickening analysis,”Med. Phys.31(4):860-872, Apr. 2004.
Näppi et al., “Optimization of the Ranking of Computer-Detected Polyp Candidates in CT Colonography,” Radiological Society of North America, Scientific Assembly and Annual Meeting Program, Abstract No. 690, Cover and 1 page, Dec. 2, 2003.
Okamoto et al., “Significance of microsatellite instability in different types of early-stage nonfamilial colorectal carcinomas,”Dis. Colon Rectum41:1385-1391, 1998.
Pham et al., “An Adaptive Fuzzy C-Means Algorithm for Image Segmentation in the Presence of Intensity Inhomogeneities,”Pattern Recognition Letters, vol. 20, 15 pages, 1998.
Pickhardt, et al., “Computed Tomographic Virtual Colonoscopy to Screen for Colorectal Neoplasia in Asymptomatic Adults,”The New England Journal of Medicine,vol. 349, No. 23, pp. 2191-2200, Dec. 1, 2003.
Saff et al., “Distributing Many Points on a Sphere,”The Mathematical Intelligencer, vol. 19, No. 1, pp. 5-11, 1997.
Serlie et al., “A Probabilistic Method for Virtual Colonoscopy Cleansing,”Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications, in Proceedings of the SPIE, vol. 5031, pp. 405-412, Feb. 2003.
Summers et al., “An integrated system for computer-aided diagnosis in CT colonography: work-in-progress,”CARS, Lemke et al., eds., Presented at the 15thInternational Congress and Exhibition, Berlin, Germany, Jun. 27-30, 2001.
Summers et al., “Automated Polyp Detection at CT Colonography: Feasibility Assessment in a Human Population,”Radiology, vol. 219, No. 1, pp. 51-59, 2001.
Summers et al., “Automated polyp detector for CT colonography: feasibility study,”Radiology216:284-290, 2000.
Summers, “Challenges for Computer-aided Diagnosis for CT Colonography,”Abdominal Imaging, vol. 27, pp. 268-274, 2002.
Summers et al., “Colonic Polyps: Complementary Role of Computer-aided Detection on CT Colonography,”Radiology, Radiological Society of North America, vol. 225, pp. 391-399, 2002.
Summers, “Navigational aids for real-time virtual bronchoscopy,”AJR168:1165-1170, 1997.
Summers et al., “CT colonography with computer-aided detection: automated recognition of ileocecal v
Johnson C. Daniel
Summers Ronald
Yao Jianhua
Klarquist & Sparkman, LLP
Mayo Foundation for Medical Education and Research
Mehta Bhavesh
Strege John B
The United States of America as represented by the Department of
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