X-ray or gamma ray systems or devices – Specific application – Computerized tomography
Reexamination Certificate
2011-08-23
2011-08-23
Glick, Edward J (Department: 2882)
X-ray or gamma ray systems or devices
Specific application
Computerized tomography
C378S021000, C382S131000
Reexamination Certificate
active
08005184
ABSTRACT:
A line scan cone beam CT imaging system irradiates an object with an x-ray cone beam for multiple views. A projection data set of the object is acquired at each view. Between views, the cone beam and detector array are translated along parallel lines in opposite directions. An image is generated by converting the cone beam projection data set of the real object into a parallel-beam projection data set corresponding to a virtual object and using a total variation minimization image reconstruction algorithm to reconstruct a virtual image of the virtual object. The reconstruction algorithm includes the constraint that the Fourier transform of the reconstructed virtual image matches the known Fourier coefficients in the set of converted parallel-beam projections of the virtual object. The reconstructed virtual image is then transformed into an image of the real object.
REFERENCES:
patent: 5909476 (1999-06-01), Cheng et al.
Bleuet et al., Resolution Improvement in Linear Tomosynthesis with an Adapted 3D Regularization Scheme, 2002, SPIE, vol. 4682, pp. 117-125).
Zhu et al., Shift-invariant cone-beam FBP reconstruction on not less than a short scan, Aug. 2006, World Congress on Medical Physics and Biomedical Engineering 2006, p. 1002.
Zeng et al., A Rotating and Warping Projector/Backprojector for Fan-beam and Cone-Beam Iterative Algorithm, 1994, IEEE Transactions on Nuclear Science, vol. 41, No. 6, pp. 2807-2811.
Velikina et al., Limited view angle tomographic image reconstruction via total variation minimization, Feb. 18, 2007, SPIE Medical Imaging 2007: Physics of Medical Imaging, pp. 651020-1-651020-12.
Nett et al., Planar tomosynthesis reconstruction in a parallel-beam framework via virtual object reconstruction, Feb. 18, 2007, SPIE Medical Imaging 2007: Physics of Medical Imaging, pp. 651028-1-651028-12.
Bleuet et al., An Adapted Fan volume Sampling Scheme for 3D Algebraic Reconstruction in Linear Tomosynthesis, 2001 , IEEE Nuclear Science Symposium Conference Record, vol. 3, pp. 1720-1724.
Edholm et al., Divergent X-ray projections may under certain conditions be treated as parallel projections, 1998, Computer Methods and Programs in Biomedicine, vol. 57, pp. 91-94.
Digital Breast Tomosynthesis (DBT), Mercury Computer Systems, Inc., 2005, 2 pages.
Guang-Hong Chen, A novel extension of the parallel-beam projection-slice theorem to divergent fan-beam and cone-beam projections, Med. Phys. 32 (3), Am. Assoc. Phys. Med. Mar. 2005, pp. 654-665.
Guang-Hong Chen, Development and evaluation of an exact fan-beam reconstruction algorithm using an equal weighting scheme via locally compensated filtered backprojection (LCFBP), Med. Phys. 33 (2), Feb. 2006, Am. Assoc. Phys. Med., pp. 475-481.
Guang-Hong Chen, A new data consistency condition for fan-beam projection data, Med. Phys. 32 (4), Apr. 2005, Am. Assoc. Phys. Med., pp. 961-967.
T.Chan et al, Recent Developments in Total Variation Image, Dec. 24, 2004, pp. 1-18.
Antonin Chambolle et al, Image recovery via total variation minimization and related problems, Numer. Math. (1997) 76: 167-188.
Corbett John M
Glick Edward J
Quarles & Brady LLP
Wisconsin Alumni Research Foundation
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