Image analysis – Applications – Biomedical applications
Reexamination Certificate
2005-11-04
2010-11-23
Chang, Jon (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S255000, C382S275000
Reexamination Certificate
active
07840052
ABSTRACT:
A medical imaging system (10) includes at least one radiation detection head (16) disposed adjacent a subject receiving aperture (18) to detect radiation from a subject. The detected radiation is reconstructed into at least one initial 2D projection image (μ). Resolution in each initial 2D image (μ) is restored by using the extended iterative constrained deconvolution algorithm by incorporating different estimates of the system response function which estimates correspond to different distances between the detection head and the origins of the detected radiation. Measured response functions are used to restore a series of images. The optimal image is determined by automatic searching with the figure of merit, by user's observation, or by using blind deconvolution for a concurrent estimating of the system response function and updating the original image.
REFERENCES:
patent: 5047968 (1991-09-01), Carrington et al.
patent: 5331553 (1994-07-01), Muehllehner et al.
patent: 5532490 (1996-07-01), Gullberg et al.
patent: 5565684 (1996-10-01), Gullberg et al.
patent: 5596198 (1997-01-01), Perez-Mendez
patent: 6171243 (2001-01-01), Gagnon et al.
patent: 6381349 (2002-04-01), Zeng et al.
patent: 6388244 (2002-05-01), Gagnon
patent: 6528793 (2003-03-01), Chen et al.
patent: 6539103 (2003-03-01), Panin et al.
patent: 6670614 (2003-12-01), Plut et al.
patent: 7091990 (2006-08-01), Ganser et al.
patent: 7139067 (2006-11-01), Pohle et al.
patent: 7197193 (2007-03-01), Li et al.
patent: 7602989 (2009-10-01), Biggs et al.
patent: 2003/0002746 (2003-01-01), Kusaka
patent: 2003/0228053 (2003-12-01), Li et al.
patent: 03090113 (2003-10-01), None
Sastry. “Iterative Constrained Deconvolution Methods.” Apr. 2002, pp. 1-6. Available at www.plexar.com.
Inouye et al. “On-line Algorithms for Blind Deconvolution of Multichannel Linear Time-Invariant Systems.” Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, Jul. 21, 1997, pp. 204-208.
Jirik et al. “Two-dimensional Blind Iterative Deconvolutoin of Medical Ultrasound Images.” 2004 IEEE Ultrasonics Symposium, vol. 2, Aug. 23, 2004, pp. 1262-1265.
Ayers et al. “Iterative Blind Deconvolution Method and its Applications.” Optics Letters, vol. 13, No. 7, Jul. 1988, pp. 547-549.
Urs et al. “Restoration of Digital Multiplane Tomosynthesis by a Constrained Iteration Method.” IEEE Transactions on Medical Imaging, vol.MI-3, no. 3, Sep. 1984, pp. 141-148.
Kundur, D., et al.; Blind Image Deconvolution; 1996; IEEE Signal Processing Magazine; pp. 43-64.
Liu, Y.-H., et al.; A Novel Geometry for SPECT Imaging Associated with the EM-Type Blind Deconvolution Method; 1998 IEEE Trans. on Nuclear Science; 45(4)2095-2101.
Mignotte, M., et al.; Three-Dimensional Blind Deconvolution of SPECT Images; 2000; IEEE Trans. on Biomedical Engineering; 47(2)274-280.
Mignotte, M., et al.; Comparison of deconvolution techniques using a distribution mixture parameter estimation: Application in single photon emission computed tomography imagery; 2002; Journal of Electronic Imaging; 11(1)11-24.
Shao Lingxiong
Ye Jinghan
Zhao Zuo
Chang Jon
Koninklijke Philips Electronics , N.V.
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