Image analysis – Applications – Biomedical applications
Reexamination Certificate
2008-05-27
2008-05-27
Mehta, Bhavesh M. (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S131000
Reexamination Certificate
active
10270674
ABSTRACT:
A method, system, and computer program product for identifying at least one three-dimensionally extended lesion within a volumetric region encompassing an inner surface, an outer surface, and intervening tissue of a target organ. The method includes: (1) generating a set of voxels representing a total scanned volume from a set of cross-sectional images of the target organ; (2) performing segmentation to extract a set of voxels representing the volumetric region from the set of voxels representing the total scanned volume; (3) detecting a set of candidate lesions based on geometric feature values of each voxel in the set of voxels representing the volumetric region; and (4) selecting the at least one three-dimensionally extended lesion from the set of candidate lesions based on at least one of volumetric, morphologic, and texture feature values of each lesion in the set of candidate lesions.
REFERENCES:
patent: 6138045 (2000-10-01), Kupinski et al.
patent: 6246784 (2001-06-01), Summers et al.
patent: 6493460 (2002-12-01), MacAulay et al.
patent: 6694163 (2004-02-01), Vining
patent: 6980682 (2005-12-01), Avinash et al.
patent: 7043064 (2006-05-01), Paik et al.
patent: 7194117 (2007-03-01), Kaufman et al.
patent: 2001/0031920 (2001-10-01), Kaufman et al.
patent: 2003/0053667 (2003-03-01), Paragios et al.
patent: 2003/0223627 (2003-12-01), Yoshida et al.
patent: 2005/0152588 (2005-07-01), Yoshida et al.
Sato et al.; “A Gradient Magnitude Based Region Gowing Algorithm for Accurate Segmentation”, IEEE, 2000.
Samara et al.; “Automated centerline tracking of the human colon”, SPIE Conference on Image Processing, Feb. 1998.
Ashton et al.; “A novel volumetric feature extraction technique, with applications to MR images”, IEEE, 1995.
Sato et al.; “An automatic colon segmentation for 3D virtual colonoscopy”, IEICE Trans. Information and Systems, 2000.
Liang et al.; “Inclusion of A Priori Information in Segmentation of Colon Lumen for 3D Virtual Coloscopy”, IEEE, 1998.
Justice et al.; “3-D Segmentation of MR Brain Images using seeded Region Growing”, 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Amsterdam, 1996.
Summers et al.; “Automated Polyp Detector for CT Colonography Feasibility Study”, Radiology, pp. 284-290, 2000.
Gokturk et al.; “A Learning Method for Automated Polyp Detection”, MICCAI 2001, Oct. 14-17, 2001.
Acar et al.; “Using Optical Flow Fields for Polyp Detection in Virtual Colonoscopy”, MICCAI 2001, Oct. 14-17, 2001.
Macari et al.; “Comparison of Time-Efficient CT Colonography with Two- and Three Dimensional Colonic Evaluation for Detecting Colorectal Polyps”, AJR:174, pp. 1543-1549, Jun. 2000.
Worthington et al.; “Region-Base Object Recognition Using Shape-from-Shading”, ECCV 2000, LNCS 1842, pp. 455-471, 2000.
J. D. Potter, et al., Epidemiologic Reviews, vol. 15, No. 2, pp. 499-545, “Colon Cancer: A Review of the Epidemiology”, 1993.
M. J. O'Brien, et al., Gastroenterology, vol. 98, No. 2, pp. 371-379, “The National Polyp Study, Patient and Polyp Characteristics Associated with High-Grade Dysplasia in Colorectal Adenomas”, 1990.
S. J. Winawer, et al., Gastroenterology, vol. 112, No. 2, pp. 594-642, “Colorectal Cancer Screening: Clinical Guidelines and Rationale”, Feb. 1997.
C. D. Johnson, et al., Radiology, vol. 216, No. 2, pp. 331-341, “CT Colonography: The Next Colon Screening Examination?”, Aug. 2000.
J. T. Ferrucci, Am. J. Roentgenol., vol. 177, pp. 975-988, “Colon Cancer Screening with Virtual Colonoscopy: Promise, Polyps, Politics”, Nov. 2001.
P. M. McMahon, et al., Abdominal Imaging, vol. 27, pp. 235-243, “Colorectal Cancer Screening Issues: A Role for CT Colonography?”, 2002.
P. Pescatore, et al., Gut, vol. 47, no. 1, pp. 126-130, “Diagnostic Accuracy and Interobserver Agreement of CT Colonography (Virtual Colonoscopy)”, Jul. 1, 2000.
J. G. Fletcher, et al., Radiology, vol. 216, No. 3, pp. 704-711, “Optimization of CT Colonography Technique: Prospective Trial in 180 Patients”, Sep. 2000.
G. D. Rubin, et al., Radiology, vol. 199, No. 2, pp. 321-330, “Perspective Volume Rendering of CT and MR Images: Applications for Endoscopic Imaging”, May 1996.
A. H. Dachman, et al., Am. J. Roentgenol., vol. 171, pp. 989-995, “CT Colonography With Three-Dimensional Problem Solving for Detection of Colonic Polyps”, Oct. 1998.
A. Sonnenberg, et al., Ann. Intern. Med., vol. 133, No. 8, pp. 573-584, “Cost-Effectiveness of Colonoscopy in Screening for Colorectal Cancer”, Oct. 17, 2000.
J. Yee, et al., Radiology, vol. 219, No. 3, pp. 685-692, “Colorectal Neoplasia: Performance Characteristics of CT Colonography for Detection in 300 Patients”, Jun. 2001.
A. H. Dachman, Abdominal Imaging, vol. 27, pp. 260-267, “Diagnostic Performance of Virtual Colonoscopy”, 2002.
D. K. Rex, et al., Gastrointestinal Endoscopy, vol. 50, No. 3, pp. 309-313, “An Initial Experience with Screening for Colon Polyps Using Spiral CT with and without CT Colography (Virtual Colonoscopy)”, 1999.
H. Yoshida, et al., IEEE Transactions on Medical Imaging, vol. 20, No. 12, pp. 1261-1274, “Three-Dimensional Computer-Aided Diagnosis Scheme for Detection of Colonic Polyps”, Dec. 2001.
H. Yoshida, et al., Radiology, vol. 222, No. 2, pp. 327-336, “Computerized Detection of Colonic Polyps at CT Colonography on the Basis of Volumetric Features: Pilot Study”, Feb. 2002.
H. Yoshida, et al., RadioGraphics, vol. 22, No. 4, pp. 963-979, “Computer-Aided Diagnosis Scheme for Detection of Polyps at CT Colonography”, Jul.-Aug. 2002.
J. G. Fletcher, et al., Am. J. Roentgenol., vol. 172, pp. 1271-1278, “CT Colonography: Potential Pitfalls and Problem-Solving Techniques”, May 1999.
M. Macari, et al., Am. J. Roentgenol., vol. 176, pp. 137-143, “Pitfalls of Using Three-Dimensional CT Colonogrphy With Two-Dimensional Imaging Correlation”, Jan. 2001.
R. M. Summers, et al., Radiology, vol. 219, No. 1, pp. 51-59, “Automated Polyp Detection at CT Colonography: Feasibility Assessment in a Human Population”, Apr. 2001.
S. B. Göktürk, et al., IEEE Transactions on Medical Imaging, vol. 20, No. 12, pp. 1251-1260, “A Statistical 3-D Pattern Processing Method for Computer-Aided Detection of Polyps in CT Colonography”, Dec. 2001.
G. Kiss, et al., Eur. Radiol., vol. 12, pp. 77-81, “Computer-Aided Diagnosis in Virtual Colonography Via Combination of Surface Normal and Sphere Fitting Methods”, 2002.
D. J. Vining, et al., Computer-Aided Diagnosis in Medical Imaging, pp. 445-452, “Virtual Colonoscopy with Computer-Assisted Polyp Detection”, 1999.
R. M. Summers, et al., Radiology, vol. 216, No. 1, pp. 284-290, “Automated Polyp Detector for CT Colonography: Feasibility Study”, Jul. 2000.
D. S. Paik, et al., Radiology, vol. 217(P), p. 370, “Computer Aided Detection of Polyps in CT Colonography: Method and Free-Response ROC Evaluation of Peformance”, 2000.
D. Chen, et al., IEEE Transactions on Medical Imaging, vol. 19, No. 12, pp. 1220-1226, “A Novel Approach to Extract Colon Lumen From CT Images for Virtual Colonoscopy”, Dec. 2000.
C. L. Wyatt, et al., Computerized Medical Imaging and Graphics, vol. 24, pp. 1-9, “ Automatic Segmentation of the Colon for Virtual Colonoscopy”, 2000.
L. Hong, et al., IEEE Transactions on Nuclear Science, vol. 44, No. 3, pp. 1297-1301, “Reconstruction and Visualization of 3D Models of Colonic Surface”, Jun. 1997.
Y. Masutani, et al., Journal of Computer Assisted Tomography, vol. 25, No. 4, pp. 629-638, “Automated Segmentation of Colonic Walls for Computerized Detection of Polyps in CT Colonography”, 2001.
J. Näppi, et a
Dachman Abraham
Lan Li
Maceneaney Peter
Masutani Yoshitaka
Nappi Janne
Mehta Bhavesh M.
Strege John B
University of Chicago
LandOfFree
Method for computer-aided detection of three-dimensional... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method for computer-aided detection of three-dimensional..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for computer-aided detection of three-dimensional... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3937441