Image analysis – Applications – Biomedical applications
Reexamination Certificate
2011-04-19
2011-04-19
Le, Vu (Department: 2624)
Image analysis
Applications
Biomedical applications
C600S427000
Reexamination Certificate
active
07929745
ABSTRACT:
A method and system for characterizing a knee joint in terms of its skeletal morphology. A plurality of loci associated with a model of skeletal structure of a knee joint are fitted and used to parameterize positions of the plurality of loci in a given subject and, thereby, to derive parameters of a deformable statistical template. The skeletal morphology is then characterized on the basis of the derived parameters of the deformable statistical template.
REFERENCES:
patent: 5360446 (1994-11-01), Kennedy
patent: 5871018 (1999-02-01), Delp et al.
patent: 6002859 (1999-12-01), DiGioia et al.
patent: 6190320 (2001-02-01), Lelong
patent: 6701174 (2004-03-01), Krause et al.
patent: 6711432 (2004-03-01), Weiss et al.
patent: 6963825 (2005-11-01), Morikawa et al.
patent: 7027650 (2006-04-01), Williame et al.
patent: 7227981 (2007-06-01), Fleute et al.
patent: 7388972 (2008-06-01), Kitson
patent: 2003/0053673 (2003-03-01), Dewaele
patent: 2003/0210813 (2003-11-01), Oosawa
patent: 2008/0031412 (2008-02-01), Lang et al.
patent: 2008/0118137 (2008-05-01), Chen et al.
patent: 1349098 (2003-10-01), None
patent: 1424650 (2004-06-01), None
patent: 1598778 (2005-11-01), None
patent: 2402470 (2004-12-01), None
patent: WO-2006/104707 (2006-10-01), None
patent: WO-2008/087556 (2008-07-01), None
patent: WO-2009/154977 (2009-12-01), None
Rhodri H. Davies, Carole J. Twining, Timothy F. Cootes, John C. Waterton, Christopher J. Taylor: A minimum description length approach to statistical shape modeling. IEEE Trans. Med. Imaging 21(5): 525-537 (2002).
Duryea J, Li J, Peterfy CG, Gordon C, Genant HK. Trainable rule-based algorithm for the measurement of joint space width in digital radiographic images of the knee. Med Phys. 2000; 27(3):580-591.
T.F. Cootes and C.J. Taylor, “Anatomical statistical models and their role in feature extraction”, British Journal of Radiology, 2004, vol. 77, pp. S133-S139.
Markus Fleute, Stephane Lavallee, Remi Julliard, Incorporating a statistically based shape model into a system for computer-assisted anterior cruciate ligament surgery, Medical Image Analysis, vol. 3, Issue 3, Sep. 1999, pp. 209-222.
Fleute, M. and Lavallée, S. 1999. Nonrigid 3-D/2-D Registration of Images Using Statistical Models. In Proceedings of the Second international Conference on Medical Image Computing and Computer-Assisted intervention (Sep. 19-22, 1999).
Bland and AaltmanBritish Medical Journal, 1996; 313:744.
Boini et al.,Annals of the Rheumatic Diseases, 2001; 60: 817-827.
Brett, A.D. “Statistical Modeling for the Assessment of Vertebral Shape in vivo” Optasia Medical Power Point Presentation, Biolmaging Seminar, May 31, 2007 (7 pages).
Brett, A.D. et al. “Automated Assessment of Vertebral Shape by Statistical Shape Modelling on Lateral radiographs” ABSMR Abstract Publication. Sep. 14, 2007 (2 pages).
Brett, A.D. et al. “Automated Assessment of Vertebral Shape on Lateral Radiographs by Statistical Shape Modeling” RSNA 2007 Abstract, Nov. 25, 2007 (1 page).
Brett, A.D. et al. “Automated Assessment of Vertebral Shape by Statistical Shape Modeling on Lateral Radiographs” ASBMR Poster Presentation, Sep. 19, 2007 (1 page).
Bruynesteyn et al.,Arthritis & Rheum, 2002; 46(4): 913-920.
Cootes T.F. et al., “Active Appearance Models”, European Conference on Comptuer Vision, vol. 2, No. 1, Jan. 1, 1998, pp. 484-498.
Cootes T.F. et al., “Use of Active Shape Models for Locating Structures in Medical Images”, Image and Vision Computing, vol. 12, No. 6, Jul. 1, 1994, pp. 355-365.
Cootes T.F., et al., “Constrained Active Appearance Models”, Proceedings of the Eight IEEE International Conference on Computer Vision, Jul. 7-14, 2001, vol. 1, pp. 748-754.
Cootes, et al.,Training Models of Shape from Sets of Examples, in Proc. BMVC Springer-Verlag, pp. 9-18, 1992.
Cootes, T.F. and Taylor, C.J. “Anatomical statistical models and their role in features extraction,”Brit. J. Radiol.77(2004):S133-S139.
Davies, R.H. et al. “A minimum description length approach to statistical shape modeling,”IEEE Trans. Med. Imag.21(5) May 2002: 525-537.
Duryea, J. et al. “Trainable rule-based alforithm for the measurement of joint space width in digital radiographic images of the knee,”Med. Phys.27(3) (Mar. 2000):580-591.
European Examination Report, European Patent Application No. 06 738 603.7, dated Jul. 24, 2008 (7 pages).
Fleute, M. “Nonrigid 3-D/2-D registration of images using statistical models,” Lecture Notes in Computer Science, Springer Verlag, New York, NY. US (Sep. 19, 1999):138-147.
Fleute, M. et al. “Incorporating a statistically based shape model into a system for computer-assisted anterior cruciate ligament surgery,”Med. Imag. Anal.3(3):209-222 (1999).
Genant et al.,Arthritis Rheum, 1998; 41: pp. 1583-1590.
International Search Report and Written Opinion of the International Searching Authority, the European Patent Office, for International Application No. PCT/IB2008/000574, dated Jul. 30, 2008, 12 pages.
International Search Report and Written Opinion of the International Searching Authority, the European Patent Office, for International Application No. PCT/US2006/009565, dated Sep. 4, 2006, 10 pages.
International Search Report of the International Searching Authority, the United States Patent and Trademark Office, for International Application No. PCT/US2009/045276, dated Jul. 20, 2009, 1 page.
Johnson and Wichern,Applied Multivariate Statistical Analysis, pp. 458-513 (5th Edition, 2002).
Kainberger F. et al., “Computer Assisted Radiologic Diagnostics of Arthritic Joint Alterations”, Zeischrift Fur Rheumatologies, vol. 65, No. 8, Dec. 1, 2006, pp. 676-680.
Langs et al., “Model-Based Erosion Spotting and Visualization in Rheumatoid Arthritis” Academic Radiology, vol. 14, No. 10, Sep. 20, 2007, pp. 1179-1188.
Langs et al.,Scandinavian Conference on Image Analysis 2003, Lecture Notes in Computer Science2749, pp. 454-461, 2003 andAcademic Radiology2007.
Patent Cooperation Treaty International Search Report, dated Jul. 30, 2008, 5 pages.
Peloschek et al., “Quantative Imaging in Rheumtoid Arthritis: From Scoring to Measurement”, Der Radiologe; Zeitschrift Fur Diagnostische Und Interventionelle Radiologies, Radioonkologie, Nuklearmedizin, vol. 46, No. 5, May 1, 2006, pp. 411-416.
Rau et al.,The Journal of Rheumatology, 1995; 22: pp. 1976-1982.
S.J. Caulkin,Generating Synthetic Abnormalities in Digital Mammograms Using Statistical Models, Ph.D. Thesis, University of Manchester, 2001.
Scott et al.,British Journal of Rheumatology, 1995; pp. 34-56.
T.F. Cootes and C.J. Taylor,Statistical Models of Appearance for Medical Image Analysis and Computer Vision, in Proc. SPIE Medical Imaging, 2001.
Van Der Heijde et al.,Rheumatology, 1999; 38: 1213-20.
Van Der Heijde et al.,The Lancet, 1989; i: pp. 1036-1038.
Zhang et al.,Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study, International Journal of Computer Vision, Sep. 2006.
Haslam Jane
Holmes Anthony
Walker Kevin
Allison Andrae S
Le Vu
Optasia Medical Limited
Wilmer Cutler Pickering Hale and Dorr LLP
LandOfFree
Method and system for characterization of knee joint morphology 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 and system for characterization of knee joint morphology, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and system for characterization of knee joint morphology will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2722169