Image analysis – Applications – Biomedical applications
Reexamination Certificate
2007-07-10
2007-07-10
Bella, Matthew C. (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S154000, C600S443000
Reexamination Certificate
active
09840629
ABSTRACT:
The present invention is a method and apparatus that creates a physical model of image formation and performs a random phasor sum representation of the physical model to create the probabilistic model. The physical model incorporates imaging system characteristics, gross shape and microstructure. The phasor sum representation results from a linear model of the imaging system characteristics as characterized by a point spread function. Tissue microstructure is characterized by multiple discrete scatterers distributed across a surface of the gross shape. Each discrete scatterer contributes a phasor to the phasor sum representation. The image model is formed using image pixel-based statistics. Amplitude mean, amplitude variance and a ratio of amplitude mean to standard deviation is computed at each image pixel. Based on the computations, each pixel is classified as Rayleigh or Gaussian and assigned a density function. A data likelihood is constructed as a product of the assigned density functions.
REFERENCES:
patent: 5031154 (1991-07-01), Watanabe
patent: 5339815 (1994-08-01), Liu et al.
patent: 5737456 (1998-04-01), Carrington et al.
patent: 5841889 (1998-11-01), Seyed-Bolorforosh
patent: 5912993 (1999-06-01), Puetter et al.
patent: 6050943 (2000-04-01), Slayton et al.
patent: 6106466 (2000-08-01), Sheehan et al.
patent: 6200266 (2001-03-01), Shokrollahi et al.
patent: 6245016 (2001-06-01), Daft et al.
patent: 6309356 (2001-10-01), Ustuner et al.
patent: WO 9955233 (1999-11-01), None
Trobaugh et al., “A Physically Based, Probabilistic Model for Ultrasonic Images Incorporating Shape, Microstructure, and System Characteristics”, IEEE Transactions, Ferroelectrics, and Frequency Control, Nov. 2001, vol. 48, pp. 1594-1605.
Trobaugh et al., “A Discrete-Scatterer Model for Ultrasonic Images of Rough Surfaces”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Nov. 2000, vol. 47, pp. 1520-1529.
“A Brief Introduction to Ultrasound”, http://dukemil.egr.duke.edu/Ultrasound/k-space
ode2.html.
Abeyrante, Undantha R. et al. “On Modeling the Tissue Response From Ultrasonic B-Scan Images”. IEEE Transactions on Medical Imaging, vol. 15, No. 4, pp. 479-490, Aug. 1996.
Cohen, Fernand S. et al. “WOLD Decomposition of the Backscatter Echo in Ultrasound Images of Soft Tissue Organs”. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 44, No. 2, pp. 460-472, Mar. 1997.
Cramblitt, Robert M. and Bell, Mark R. “Marked Regularity Models”. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 46, No. 1, pp. 24-34, Jan. 1999.
Liu, D.L. and Waag, R.C. “Harmonic amplitude distribution in a wideband ultrasonic wavefront after propagation through human abdominal wall and breast specimens”. Journal of the Acoustical Society of America, vol. 101, No. 2, pp. 1172-1183, 1997.
Lizzi, Frederic L. et al. “Statistical Framework For Ultrasonic Spectral Parameter Imaging”. Ultrasound in Med. & Biol., vol. 23, No. 9, pp. 1371-1382, 1997.
Gilman, Larry Clifford. “First-Order Statistics of Pulsed-Sinusoid Backscatter from Random Media: Basic Elements of an Exact Treatment”. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 44, No. 4, pp. 798-804, Jul. 1997.
Shankar, P.M. “A model for Ultrasonic scattering from tissues based on the k distribution”. Phys. Med. Biol., vol. 40, No. 10, pp. 1633-1649, 1995.
Tuthill, T.A. et al., “Deviations From Rayleigh Statistics In Ultrasonic Speckle”. Ultrasonic Imaging, vol. 10 , pp. 81-89, 1988.
Wagner, Robert F. et al. “Statistics of Speckle Ultrasound B-Scans”. IEEE Transactions on Sonics and Ultrasonics, vol. 30, No. 3, pp. 156-163, May 1983.
Arthur R. Martin
Trobaugh Jason W.
Bella Matthew C.
Edwards Patrick
Washington University
Woodcock & Washburn LLP
LandOfFree
Physically-based, probabilistic model for ultrasonic images... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Physically-based, probabilistic model for ultrasonic images..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Physically-based, probabilistic model for ultrasonic images... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3810573