Electricity: measuring and testing – Particle precession resonance – Using a nuclear resonance spectrometer system
Reexamination Certificate
2006-02-28
2006-02-28
Shrivastav, Brij B. (Department: 2859)
Electricity: measuring and testing
Particle precession resonance
Using a nuclear resonance spectrometer system
C324S307000
Reexamination Certificate
active
07005854
ABSTRACT:
The present invention relates to a method and system for enhancing resolution of a magnetic resonance image of an object. The method combines information from a plurality of low-resolution images with a Field Of View shifted by a distance less than a pixel width to create a synthesized image having substantially improved image quality. Information from the low-resolution images is merged and application of an aperture function enhances the SNR of the synthesized image resulting in synthesized images having a substantially higher spatial resolution as well as a substantially increased SNR. The method and system for enhancing resolution of a magnetic resonance image is highly beneficial for a MRI practitioner by substantially improving image quality, thus facilitating diagnostic methods such as texture analysis and disease specific tissue segmentation.
REFERENCES:
patent: 5778038 (1998-07-01), Brandt et al.
patent: 6549801 (2003-04-01), Chen et al.
patent: 6839471 (2005-01-01), Vogt, IV
Bae et al., “A Study of Synthetic-Aperture Imaging with Virtual Source Elements in B-Mode Ultrasound Imaging Systems”, “, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control”, vol. 47, No. 6, pp. 1510-1519, Nov. 2000.
Borman et al., “Spatial Resolution Enhancement of Low-Resolution Image Sequences A Comprehensive Review with Directions for Future Research” Laboratory for Image and Signal Analysis, University of Notre Dame, USA, Jul. 8, 1998.
Elad et al., “Super-Resolution Reconstruction of Image Sequences”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, No. 9, Sep. 1999.
Eren et al., “Robust, Object-Based high-Resolution Image Reconstruction from Low-Resolution Video”, IEEE Transactions on Image Processing, vol. 6, No. 10, pp. 1446-1451, Oct. 1997.
Frazier et al., “Synthetic Aperture Techniques with a Virtual Source Element”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 45, No. 1, Jan. 1998.
Greenspan et al., “MRI Inter-Slice Reconstruction using Super-Resolution”, Magnetic Resonance Imaging, No. 20, pp. 437-446, 2002.
Irani et al., “Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency”, Journal of Visual Communication and Image Representation, vol. 4, No. 4, pp. 324-335, Dec. 1993.
Karaman et al., “Synthetic Aperture Imaging for Small Scale Systems”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 42, No. 3, pp. 429-442, May 1995.
Kim et al., “Recursive Reconstruction of High-Resolution Image From Noisy Undersampled Multiframes”, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 38, No. 6, pp. 1013-1027, Jun. 1990.
Liang et al., “Constrained Reconstruction Methods in MR Imaging”, Reviews of Magnetic Resonance in Medicine, vol. 4, pp. 67-185, 1992.
Peled et al., “Superresolution in MRI: Application to Human White Matter Fabric Tract Visualization by Diffusion Tensor Imaging”, Magnetic in Medicine, No. 45, pp. 29-35, 2001.
Peled et al., “Superresolution in MRI—Perhaps Sometimes”, Magnetic Resonance in Medicine, No. 48, pp. 409, 2002.
Roullot et al., “Regularized Reconstruction of 3D High-Resolution Magnetic Resonance Images from Acquisitions of Anisotropically Degraded Resolutions”, IEEE, pp. 346-349, 2000.
Stergiopoulos et al., “Extended Towed Array Processing by an Overlap Correlator”, Journal of the Acoustical Society of America, vol. 86, No. 1, pp. 158-171, Jul. 1989.
Scheffler, “Superresolution in MRI?”, Magnetic Resonance in Medicine, No. 48, pp. 408, 2002.
Tsai et al., “Multiframe Image Restoration and Registration”, Advances in Computer Vision and Image Processing, vol. 1, pp. 317-339, 1984.
Ur et al., “Improved Resolution from Subpixel Shifted Pictures”, CVGIP: Graphical Models and Image Processing, vol. 54, No. 2, pp. 181-186, Mar. 1992.
Yen et al., “Application of Synthetic-Aperture Processing Toward-Array Data”, Journal of the Acoustical Society of America, vol. 86, No. 2, pp. 754-765, Aug. 1989.
Lauzon M. Louis
Mayer Gregory S.
Mitchell J. Ross
Zhu Hongmei
976076 Alberta Inc.
Freedman & Associates
Shrivastav Brij B.
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