System and method for automation of morphological...

Image analysis – Applications – Biomedical applications

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C382S117000, C382S132000, C382S224000, C351S237000, C356S401000, C702S019000

Reexamination Certificate

active

07668351

ABSTRACT:
Medical images are automatically segmented by customizing the morphological segmentation of features identified in the image based upon statistical analysis of the features within each region to be analyzed. The statistical description of the features, as reported through a feature vector, informs the system as to which input variables to select for further segmentation analysis for features residing within the region of the image analyzed. By customizing the automatic segmentation analysis to produce an enhanced image, features within the image are characterized more efficiently and precisely. False positive identification of lesions are minimized without sacrifice of true positive identifications.

REFERENCES:
patent: 5291560 (1994-03-01), Daugman
patent: 5689340 (1997-11-01), Young
patent: 5915036 (1999-06-01), Grunkin et al.
patent: 6990239 (2006-01-01), Nelson
patent: 2005/0122477 (2005-06-01), Alster et al.
patent: 2005/0251347 (2005-11-01), Perona et al.
Berger, B.W. and Yoken, J., “Computer-Assisted Quantification of Choroidal Neovascularization for Clinical Trials,” IOVS, 2000. 41(8): pp. 2286-2295.
Shin, D.S., et al., “Computer-Assisted Interactive Fundus Image Processing for Macular Drusen Quantitation,” Opthalmology, 1999. 106 (No. 6): pp. 1119-1125.
Peli, Eli and Lahav, Moshe, “Drusen Measurement from Fundus Photographs Using Computer Image Analysis.” Opthalmology, 1986. 93 (No. 12): pp. 1575-1580.
Peli, Eli, et al., “Feature-based Registration of Retinal Images.” IEEE Transactions on Medical Imaging, 1987. MI-6(3): pp. 272-278.
Morgan, William H., et al., “Automated Extraction and Quantification of Macular Drusen from Fundal Photographs.” Australian and New Zealand Journal of Opthalmology, 1994. 22(1): pp. 7-12.
Ward, N.P., et al., “Image Analysis of Fundal Photographs.” Opthalmology, 1989. 96: pp. 80-86.
Phillips, R.P., et al., “Quantification of Diabetic Maculopathy by Digital Imaging of the Fundus.” Eye, 1991. 9(1): pp. 62-66.
Wilson, M., et al., “Computer-Aided Methods for Quantitative Assessment of Longitudinal Changes in Retinal Images Presenting With Maculopathy,” in Medical Imaging 2002. San Diego, CA.
Bird, A.C., et al., “An International Classification and Grading System for Age-Related Maculopathy and Age-Related Macular Degeneration.” The International ARM Epidemiological Study Group. Survey of Ophthalmology, 1995. 39(5): pp. 367-374.
Klein, Ronald, et al., “The Wisconsin Age-Related Maculopathy Grading System.” Ophthalmology, 1991. 98(7): pp. 1128-1134.
Beucher, S. and Meyer, F., “The Morphological Approach to Segmentation: The Watershed Transformation.” Mathematical Morphology in Image Processing, 1993: pp. 433-482, New York, E.R. Dougherty.
Otsu, N., “A Threshold Selection Method from Gray-Level Histograms.” IEEE Transactions on Systems, Man and Sybernetics, 1979.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

System and method for automation of morphological... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with System and method for automation of morphological..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for automation of morphological... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4200846

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.