Surgery – Diagnostic testing – Detecting nuclear – electromagnetic – or ultrasonic radiation
Reexamination Certificate
2004-08-21
2010-02-02
Winakur, Eric F (Department: 3768)
Surgery
Diagnostic testing
Detecting nuclear, electromagnetic, or ultrasonic radiation
C382S276000
Reexamination Certificate
active
07657299
ABSTRACT:
Automated methods and systems for the detection and analysis of plaque in one or more regions of a patient's vasculature are described.
REFERENCES:
patent: 4945478 (1990-07-01), Merickel et al.
patent: 5003979 (1991-04-01), Merickel et al.
patent: 5893069 (1999-04-01), White, Jr.
patent: 6088676 (2000-07-01), White, Jr.
patent: 6200268 (2001-03-01), Vince et al.
patent: 6231834 (2001-05-01), Unger et al.
patent: 6375925 (2002-04-01), Tsimikas
patent: 6443894 (2002-09-01), Sumanaweera et al.
patent: 6507747 (2003-01-01), Gowda et al.
patent: 6615071 (2003-09-01), Casscells et al.
patent: 6922462 (2005-07-01), Acharya et al.
patent: 7175597 (2007-02-01), Vince et al.
patent: 2003/0208116 (2003-11-01), Liang et al.
patent: 2003/0211036 (2003-11-01), Degani
patent: 2004/0022359 (2004-02-01), Acharya
patent: 2004/0047497 (2004-03-01), Daw
patent: 2004/0061889 (2004-04-01), Wood
patent: 2004/0064037 (2004-04-01), Smith
patent: 2004/0076262 (2004-04-01), Shao
patent: 2004/0133094 (2004-07-01), Becker
patent: 2004/0133098 (2004-07-01), Yarnykh
patent: 2004/0136491 (2004-07-01), Iatrou
patent: 2004/0142496 (2004-07-01), Nicholson et al.
patent: 2004/0181146 (2004-09-01), Yarnykh
patent: 2004/0243022 (2004-12-01), Carney
patent: 2004/0243365 (2004-12-01), Yuan
patent: 2004/0260170 (2004-12-01), Wood
patent: 2004/0265393 (2004-12-01), Unger
patent: 2004/0267110 (2004-12-01), Tremble
patent: 2005/0004467 (2005-01-01), Shiina
patent: 2005/0010104 (2005-01-01), Fayad
patent: 2005/0021019 (2005-01-01), Hashimshony
patent: 2005/0038342 (2005-02-01), Mozayeni
patent: WO 2004/069027 (2004-08-01), None
Bell et al., “Independent component analysis,”Neural Computation7(6):1129-1159 (1995).
Cai, et al, “Classification of human carotid atherosclerotic lesions with In Vivo multicontrast magnetic resonance imaging,”Circulation106(11):1368-1373 (2002).
Corti et al., “Lipid lowering by simvastatin induces regression of human atherosclerotic lesions: Two year's follow-up by high-resolution noninvasive magnetic resonance imaging,”Circulation106:2884-2887 (2002), Amer Heart Assoc.
Corti et al., “Effects of lipid-lowering by simvastatin on human atherosclerotic lesions: A longitudinal study by high-resolution, noninvasive magnetic resonance imaging,”Circulation104(3):249-252 (2001).
Cybenko, G., “Appromixation by superpositions of a sigmoidal function,”Methematical contl. Signal&Systems2:303-314 (1989).
Dowla et al., “Seismic discrimination with artificial neutral networs: preliminary results with regional spectral data,”Bull. Seismo. Soc. Amer.80(5):1346-1373 (Oct. 1990).
Fayad, Z.A., “MR imaging for the noninvasive assessment of atherothrombotic plaques,”Magn. Reson. Imaging Clin. N. Am.11(1):101-113 (2003).
Han et al., “A multi-scale method for atomatic correction of intensity non-uniformity in MR images,”J. Mag. Res. Imaging13:428-436 (2001), Wiles-Liss, Inc.
Han et al., “Detecting objects in image sequences using rule-based control in an active contour model,”IEEE Trans. Biomed. Eng.50(6):705-710 (Jun. 2003).
Haralick, R., “Statistical and structural approaches to texture,”IEEE67(5) (May 1979).
Hornik et al., “Multilayer feedforward networks are universal approximators,”Neural Networks2:359-366 (Mar. 9, 1989) Pergamon Press.
Itskovich et al., “Quantification of human atherosclerotic plaques using spatially enhanced cluster analysis of multicontrast-weighted magnetic resonance images,”Magn. Reson. Med.515-523 (Sep. 2004).
Jang et al., Functional equivalence between radial basis function networks and fuzzy inference systems,IEEE Trans. Neural Networks4(1):156-159 (Jan. 1993).
Kerwin et al., “A quantitative vascular analysis system for evaluation of atherosclerotic lesions by MRI,”Medical Imaging and Computing,4thInternational Conf. 1-8 (2001).
Kerwin et al., “Noise and motion correction in dynamic contrast-enhanced MRI for analysis of atherosclerotic lesions,”Magnetic Res. Inn Med.,47:1211-1217 (2002).
Mitsumori et al., “In Vivo accuracy of multisequence MR imaging for identifying unstable fibrous caps in advanced human carotid plaques,”J. MRI17:410-420 (2003) Wiley-Liss, Inc.
Perez-Amaral et al., “A flexible tool for model building: The relevant transformation of the inputs network approach (RETINA),”Oxford Bulletin of Economics and Statistics,65:821-838 (2002).
Shinnar et al., “The diagnostic accuracy of Ex Vivo MRI for human atherosclerotic plaque characterization,”Arterioscler. Throm. Vasc. Biol.19:2756-2761 (1999) Amer. Heart Assoc.
Viola et al., “Alignment by maximization of mutual information,”International Conference on Computer Vision(1995).
Wells et al., “Multi-modal volume registration by maximization of mutual information,”Med Image Anal.1(1):35-51 (1996) Oxford University Press.
White, H.A., “A reality check for data snooping,”Econometrica68(5):1097-1126 (Sep. 2000).
Woods et al., “Automated image registration: 1. General methods and intrasubject, intramodality validation,”Journal of Computer Assisted Tomography,22(1):139-152 (1998) Lippincott-Raven Publishers.
Worthley et al., “Cardiac gated breath-hold black blood MRI of the coronary artery wall: an in vivo and ex vivo comparison,”Int'l J. Cardiovascular Imaging17:195-201 (2001).
Xu et al., “Segmentation of multi-channel image with Markov random field based active contour model,”J. VSL1 Signal Processing31:45-55 (2002) Kluwer Academic Publishers, Netherlands.
Xu, P., “Gradient vector flow: A new external force for snakes,”IEEE Conference on Computer Visual Pattern Recognition(1997).
Xu, P., “Snakes shapes and gradiant vector flow,”IEEE Transactions on Image Processing(1997).
Yang et al., “Segmentation of wall and plaque in In-Vitro vascular MR imaging,”Int. J. Cardiovasc. Imaging19(5):419-428 (2003) Graz, Austria.
Xu “Atherosclerotic blood vessel tracking and lumen segmentation in topology changes situations of mr image sequences,” Image Processing, 2000. Proceedings. 2000 International Conference 1:637-640 (2000).
Anderson et al., “Estimation of Spatio-temporal Neural Activity Using Radial Basis Function Networks,”J. Computational Neuroscience5(4):421-441 (1998).
Anderson et al., “Two-dimensional saccade-related population activity in superior colliculus in monkey,”J. Nerophysiol.80(2):798-817 (1998).
Baxt et al., “Bootstrapping confidence intervals for clinical input variable effects in a network trained to identify the presence of acute myocardial infarction,”Neur. Comp.7(3):624-638 (1995).
Botnar et al., “Noninvasive coronary vessel wall and plaque imaging with magnetic resonance imaging,”Circulation102(21):2582-2587 (2000).
Brotherton et al., “Application of neural nets to feature fusion,”Proc. 26thAsilomar Conf. on Signals, Sys. Comp.2:781-785 (1992).
Brotherton et al., “Application of time-frequency and time-scale representations to fault detection and classification,”Proc. IEEE-SP Int'l Symp. On Time-Freq. Time-Scale Anal.4:95-98 (1992).
Brotherton et al., “Classifying tissue structure in echocardiograms,”IEEE Eng. Med. Bio.13(5):754-760 (1994).
Brotherton et al., “Classifier design using evolutionary programming,”Third Ann. Conf. Evol. Prog.68-75 (1994).
Brotherton et al., “Information extraction from 2D electrophoresis images,”Proc. of the 20thAnn. Con. of the IEEE Eng. Med. Bio. Soc.(EMBS '98) 2(2):1060-1063 (1998).
Brotherton et al., “The Application of Time-Frequency and Wavelets to Medical Ultrasound,”Time-Frequency and Wavelets in Biomed. Eng.Ch. 3:1-33 (1998).
Corti et al., “Artery dissection and arterial thrombus aging: the role of noninvasive magnetic resonance imaging,”Circulation103(19):2420-
Anderson Russell W.
Brotherton Thomas Woodley
Huizenga Joel T.
BioTechnology Law Group
Chambers Daniel M.
Ischem Corporation
Rozanski Michael T
Winakur Eric F
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