X-ray or gamma ray systems or devices – Specific application – Computerized tomography
Reexamination Certificate
2004-10-04
2008-09-30
Glick, Edward J (Department: 2882)
X-ray or gamma ray systems or devices
Specific application
Computerized tomography
Reexamination Certificate
active
07430269
ABSTRACT:
Iterative algorithms, which may be used for image reconstruction, include alternating projections and backprojections usually have a slow convergence, due to correlations between simultaneously processed data. Consequently, a low image quality results. A filtering step is introduced before backprojection, allowing parallel processing without the loss of convergence speed or image quality. Advantageously, this allows several projections/backprojections to be performed simultaneously.
REFERENCES:
patent: 4633398 (1986-12-01), Gullberg et al.
patent: 5909476 (1999-06-01), Cheng et al.
patent: 6426988 (2002-07-01), Yamada et al.
patent: 6574299 (2003-06-01), Katsevich
patent: 6768782 (2004-07-01), Hsieh et al.
patent: 6987829 (2006-01-01), Claus
patent: 0 502 187 (1997-12-01), None
Andersen et al., simultaneous Algebraic Reconstruction Technique (SART): A Superior Implementation of the ART Algorithm, Ultrasonic Imaging, vol. 6, pp. 81-84, 1984.
Subbarao et al., Performance of Iterative Tomographic Algorithms Applied to Non-destructive Evaluation with Limited Data, NDT&E International, vol. 30, No. 6, pp. 359-370, 1997.
Mueller et al., Rapid 3-D Cone-Beam Reconstruction with Simultaneous Algebraic Reconstruction Technique (SART) Using 2-D Texture Mapping Hardware, IEEE Transactions on Medical Imaging, vol. 19, No. 12, Dec. 2000, p. 1227-1237.
Chlewicki et al., 3D Simultaneous Algebraic Reconstruction Techinique for Cone-Beam Projections, University of Patras Faculty of Medicine, Department of Medical Phsics, 2001, pp. 1-57.
Andersen, A.H., et al.; Simultaneous Algebraic Reconstruction Technique (SART); 1984; Ultrasonic Imaging; vol. 6 pp. 81-94.
Gordon, R., et al.; Algebraic Reconstruction Techniques (ART) for Three-Dimensional Electron Microscopy and X-Ray Photography; 1970; J. Theor. Biol.; 29: 471-481.
Herman, G.T., et al.; Algebraic Reconstruction Techniques Can Be Made Computationally Efficient; 1993; IEEE Trans. on Medical Imaging; 12(3)600-609.
Jiang, M., et al.; Convergency of the Simultaneous Algebraic Reconstruction Technique (SART); 2001; IEEE Trans. on Asilomar Conf. on Signals, Systems and Computers; 1(35)360-364.
Mueller, K., et al.; Rapid 3-D Cone-Beam Reconstruction with the (SART) Using 2-D Texture Mapping Hardware; 2000; IEEE Trans. on Med. Imaging; 19(12)1227-1237.
Schmidlin, P., et al.; Computation o High Overrelaxation Parameters in Iterative Image Reconstruction; 1998; IEEE Trans. on Nuclear Science; 45(3)(4)1737-1742.
Subbarao, P.M.V., et al.; Performance of iterative tomographic algorithms applied to non-destructive evaluation with limited data; 1997; NDT&E International; 30(6)359-370.
Kohler Thomas
Nielsen Tim
Glick Edward J
Koninklijke Philips Electronics , N.V.
Taningco Alexander H
LandOfFree
Iterative data reconstruction does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Iterative data reconstruction, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Iterative data reconstruction will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3965677