Magnetic resonance imaging by subspace projection

Image analysis – Applications – Biomedical applications

Reexamination Certificate

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Reexamination Certificate

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07869639

ABSTRACT:
Reconstructing an image from MRI data provided by an MRI machine includes: selecting a system transformation based on the MRI machine; selecting a subspace based on the system transformation; and obtaining a solution vector that solves a minimization problem. The minimization problem is formulated on the subspace, based on the MRI data. The image is reconstructed from the solution vector and displayed.

REFERENCES:
patent: 5546472 (1996-08-01), Levin
patent: 6208139 (2001-03-01), Foo et al.
patent: 6680610 (2004-01-01), Kyriakos et al.
patent: 6748096 (2004-06-01), Chuang
patent: 6975900 (2005-12-01), Rudy et al.
patent: 2001/0038285 (2001-11-01), Zhu
patent: 2003/0120163 (2003-06-01), Rudy et al.
patent: 2004/0082870 (2004-04-01), Rudy et al.
patent: 2005/0270024 (2005-12-01), Lin
patent: 2007/0297656 (2007-12-01), DeMan et al.
patent: 2008/0012564 (2008-01-01), Lin
patent: 2008/0107319 (2008-05-01), Chang et al.
“Fast Regularized Reconstruction of Non-Uniformly Subsampled Parallel MRI Data”, Hoge et al, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006, pp. 714-717.
“Choosing Regularization Parameters in Iterative Methods for Ill-Posed Problems”, Misha E. Kilmer and Dianne P. O'Leary, SIAM J. Matrix Anal. Appl. vol. 22, No. 4, pp. 1204-1221, 2001.
Martin Blaimer et al., “SMASH, SENSE, PILS, GRAPPA How to Choose the Optional Method,”Top Magn Reson Imaging, vol. 15(4), pp. 223-236, (Aug. 2004).
W. Scott Hoge, “Fast Regularized Reconstruction of non-Unofirmaly Subsampled Parallel MRI Data,” (May 2006).
Hoge et al., “An Iterative Method for Fast Regularized Parallel MRI Reconstruction,” Poster on Method presented at ISMRM06, May 8-12, 2006 (submitted Nov. 17, 2005).
Misha Kilmer, et al., “Choosing Regularization Parameters in Interactice Methods for Ill-Posed Problems,”SIAM J. Matrix Anal. Appl., vol. 22(4), pp. 1204-1221 (2001).
Misha Kilmer et al., “Recycling Subspace Information for Diffused Optical Tomography,”SIAM J. on Sci. Comput., vol. 27(6), pp. 2140-2166, (Dec. 2006) (Published on-line in electronic form Mar. 2006). Results presented first at Cooper Mountain 2004.
Fa-Hsuan Lin et al., “Parallel Imaging Reconstructions Using Automatic Regularization,”Magn. Reson. Med., vol. 15(3), pp. 559-567, (Mar. 2004).
Klaas P. Pruessmann et al., “Advances in Sensitivity Encoding with Abitrary K-Space Trajectories,”Magn. Reson. Med., vol. 46(4), pp. 638-651, (Oct. 2001).

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