Image analysis – Applications – Biomedical applications
Reexamination Certificate
2007-08-14
2007-08-14
Ahmed, Samir (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S218000
Reexamination Certificate
active
10787056
ABSTRACT:
An image reconstruction algorithm begins with an initial acquisition of a preoperative imaging volume followed by a second imaging sequence subsequent to an applied deformation. A computational domain (model) is generated from the preoperative image series and boundary conditions are derived from a pre-post deformation comparison, as well as from information gathered from deformation source application (i.e., displacement and/or force). Using boundary conditions, a series of model-based image deformations is accomplished while varying model material properties. A calculation of a Jacobian matrix relating the change in regional mutual information is performed with respect to the change in material properties. Upon completion of this process, matrix regularization techniques are used to condition the system of equations and allow for inversion and subsequent delivery of model-property adjustments.
REFERENCES:
patent: 5926568 (1999-07-01), Chaney et al.
patent: 6728567 (2004-04-01), Rather et al.
R. Muthupillai et al., “Magnetic-Resonance Elastography By Direct Visualization of Propagating Acoustic Strain Waves,” Science, vol. 269, pp. 1854-1857, 1995.
E. E. W. Van Houten et al., “Elasticity Reconstruction From Experimental MR Displacement Data: Initial Experience With An Overlapping Subzone Finite Element Inversion Process,” Medical Physics, vol. 27, pp. 101-107, 2000.
R. Sinkus et al., “High-Resolution Tensor MR Elastography For Breast Tumour Detection,” Physics in Medicine and Biology, vol. 45, pp. 1649-1664, 2000.
J. Bishop, et al., “Two-Dimensional MR Elastrography With Linear Inversion Reconstruction: Methodology And Noise Analysis,” Physics in Medicine and Biology, vol. 45, pp. 2081-2091, 2000.
J. Ophir et al., “Elastography: A Systems Approach,” International Journal of Imaging Systems and Technology, vol. 8, pp. 89-103, 1997.
J. Ophir et al., “Elastography : A Quantitative Method For Imaging The Elasticity Of Biological Tissues,” Ultrasonic Imaging, vol. 13, pp. 111-134, 1991.
T. L. Chenevert et al., “Elasticity Reconstructive Imaging By Means Of Stimulated Echo MRI,” Magnetic Resonance in Medicine, vol. 39, pp. 482-490, 1998.
D. B. Plewes, et al., “Visualization And Quantification Of Breast Cancer Biomechanical Properties With Magnetic Resonance Elastography,” Phys. in Med. and Bio., vol. 45, pp. 1591-1610, 2000.
A. Manduca et al., “Spatio-Temporal Directional Filtering For Improved Inversion Of MR Elastography Images,” Medical Image Analysis, pp. 465-473, 2003.
N. Gokhale et al., “Simultaneous Elastic Image Registration and Elastic Modulus Reconstruction,” IEEE Transactions on Medical Imaging, pp. 543-546, 2004.
M. M. Doyley et al., “Evaluation of An Iterative Reconstruction Method for Quantitative Elastography,” Physics in Medicine and Biology, vol. 45, pp. 1521-1540, 2000.
E. E. W. Van Houten et al., “Three-Dimensional Subzone-Based Reconstruction Algorithm For MR Elastography,” Magnetic Resonance in Medicine, vol. 45, pp. 827-837, 2001.
J. B. Fowlkes et al., “Magnetic-Resonance Imaging Techniques For Detection Of Elasticity Variation,” Medical Physics, vol. 22, pp. 1771-1777, 1995.
A. Samani et al., “A Constrained Modulus Reconstruction Technique For Breast Cancer Assessment,” IEEE Transactions on Medical Imaging, vol. 20, No. 9, pp. 877-885, 2001.
R. Muthupillai et al., “Magnetic Resonance Imaging Of Transverse Acoustic Strain Waves,” Magnetic Resonance in Medicine, vol. 36, pp. 266-274, 1996.
K. J. Parker et al., “Techniques For Elastic Imaging: A Review,” IEEE Engineering in Medicine and Biology, vol. 96, pp. 52-59, 1996.
B. S. Garra et al., “Elastography Of Breast Lesions: Initial Clinical Results,” Radiology, vol. 202, pp. 79-86, 1997.
J. Ophir et al., “Elastography: Ultrasonic Estimation And Imaging Of The Elastic Properties Of Tissues,” IMechE, vol. 213, Part H, pp. 203-223, 1999.
C. Sumi et al., “Estimation Of Shear Modulus Distribution In Soft Tissue From Strain Distribution,” IEEE Transactions on Biomedical Engineering, vol. 42, No. 2, pp. 193-202, 1995.
A. P. Sarvazyan et al., “Biophysical Bases Of Elasticity Imaging,” Accoustical Imaging, vol. 21, pp. 223-240, 1995.
S. A. Kruse et al., “Tissue Characterization Using Magnetic Resonance Elastography: Preliminary Results,” Physics in Medicine and Biology, vol. 45, pp. 1579-1590, 2000.
L. V. Tsap et al., “Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, No. 5, pp. 526-543, 2000.
Ahmed Samir
Akin Gump Strauss Hauer & Feld & LLP
Tabatabai Abolfazl
Vanderbilt University
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