Surgery – Diagnostic testing – Detecting nuclear – electromagnetic – or ultrasonic radiation
Reexamination Certificate
2002-01-22
2008-01-29
Mercader, Eleni Mantis (Department: 3737)
Surgery
Diagnostic testing
Detecting nuclear, electromagnetic, or ultrasonic radiation
C600S410000, C382S128000, C382S130000, C382S131000
Reexamination Certificate
active
07324842
ABSTRACT:
The present invention provides an atlas comprising values representative of magnetic resonance properties of a magnetic resonance (MR) scan and optionally, prior probability data relating to tissue type. Further embodiments of the invention involve a system including an MR scanner and the atlas for use in alignment of an MR scan, such as a localizer scan, to obtain a specific geometry of the data acquired during a subsequent scan. Also, a system includes an MR scanner and the atlas for automatic segmentation of an MR scan. Methods of making and using the atlas and system are also provided.
REFERENCES:
patent: 4734646 (1988-03-01), Shenoy et al.
patent: 4884566 (1989-12-01), Mountz et al.
patent: RE33259 (1990-07-01), Crooks et al.
patent: 5218623 (1993-06-01), Toki et al.
patent: 5454019 (1995-09-01), Migita et al.
patent: 5583903 (1996-12-01), Saito et al.
patent: 5590164 (1996-12-01), Kawai et al.
patent: 5602891 (1997-02-01), Pearlman
patent: 5617861 (1997-04-01), Ross et al.
patent: 5668846 (1997-09-01), Fox et al.
patent: 5672877 (1997-09-01), Liebig et al.
patent: 5818231 (1998-10-01), Smith
patent: 5951475 (1999-09-01), Gueziec et al.
patent: 6023495 (2000-02-01), Adler et al.
patent: 6028907 (2000-02-01), Adler et al.
patent: 6195409 (2001-02-01), Chang et al.
patent: 6374130 (2002-04-01), Reiman
patent: 6430430 (2002-08-01), Gosche
patent: 6591004 (2003-07-01), VanEssen et al.
patent: 6740883 (2004-05-01), Stodilka et al.
patent: 6836557 (2004-12-01), Tamez-Peña et al.
patent: 6845342 (2005-01-01), Basser et al.
patent: 2001/0036302 (2001-11-01), Miller
patent: 2002/0042563 (2002-04-01), Becerra et al.
patent: 2002/0103428 (2002-08-01), deCharms
patent: 2003/0011624 (2003-01-01), Ellis
patent: 2003/0088177 (2003-05-01), Totterman et al.
patent: 2003/0093004 (2003-05-01), Sosa et al.
patent: WO 02/43003 (2002-05-01), None
patent: WO 03/021524 (2003-03-01), None
Miller MI, Christensen, G.E., Amit, Y., Grenander, U., Mathematical Textbook of Deformable Neuroanatomies, Proceedings of the National Academy of Sciences USA, 90:11944-11948 (1993).
Corbetta, M. et al. “A common network of funtional areas for attention and eye movements.”Neuron, 21:761-773 (Oct. 1998).
Gusnard, D.A. et al. “Medial prefrontal cortex and self-referential mental activity: relation to a default mode of brain function.”PNAS98(7):4259-4264 (Mar. 27, 2001).
Ashburner, J. et al. Image registration using a symmetric prior—in three dimensions.Hum. Brain Mapp. Apr. 2000;9(4):212-25.
Brey, W. W. et al. Correction for intensity falloff in surface coil magnetic resonance imaging.Med. Phys. Mar.-Apr. 1988;15(2):241-5.
Chen, M. et al. Anomaly detection through registration. http://www.ri.cmu.edu/pub—files/pub1/chen—mei—1998—5/chen—mei—1998—5.pdf.
Chen, M. et al. Anomaly detection through registration.IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 1998. pp. 304-310.
Choi, H. S. et al. Partial volume tissue classification of multichannel magnetic resonance images—A mixel model.IEEE Transactions on Medical Imaging. Sep. 1991;10(3):395-407.
Clarke, L. P. et al. MRI: stability of three supervised segmentation techniques.Magn. Reson. Imaging. 1993;11:95-106.
Clarke, L. P. et al. MRI segmentation: methods and applications.Magn. Reson. Imaging. 1995;13(3):343-68.
Collins, D. L. et al. Automatic 3-D model-based neuroanatomical segmentation.Hum. Brain Mapp. 1995;3(3):190-208.
Collins, D. L. et al. Animal: validation and applications of nonlinear registration-based segmentation.International Journal of Pattern Recognition and Artificial Intelligence. 1997;11(8):1271-94.
Condon, B. R. et al. Image non-uniformity in magnetic resonance imaging: its magnitude and methods for its correction.Br. J. Radiol. Jan. 1987;60(709):83-7.
Dawant, B. M. et al. Correction of intensity variations in MR images for computer-aided tissue classification.IEEE Transactions on Medical Imaging. Dec. 1993;12(4):770-81.
CorTechs. http://www.cortechs.net Last update Jun. 12, 2001 http://www.cortechs.net/contact.htm; http://www.cortechs.net/about.htm; http://www.cortechs.net/applications.htm; http://www.cortechs.net/flattening.htm; http://www.cortechs.net/mapping.htm; http://www.cortechs.net/movies.htm.
Freeborough, P. A. et al. Accurate registration of serial 3D MR brain images and its application to visualizing change in neurodegenerative disorders.J. Comput. Assist. Tomogr. Nov.-Dec. 1996;20(6):1012-22.
Fischl, B. et al. Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain. Prepublication received directly from author. Jan. 9, 2001. pp. 1-26.
Fischl, B. et al. Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain.Neuron. Jan. 31, 2002;33(3):341-55.
Gee, J. C. et al. Elastically deforming 3D atlas to match anatomical brain images.J. Comput. Assist. Tomogr. Mar.-Apr. 1993;17(2):225-36.
Gee, J. C. et al. Probabilistic matching of brain images. 1995. pp. 1-22 http://citeseer.nj.nec.com/gee95probabilistic.html.
Gee, J. C. et al. Probabilistic matching of brain images.Proceedings of XIVth International Conference on Information Processing in Medical Imaging, Ile de Berder, France Jun. 26-30, 1995 pp. 113-125.
Gerig, G. et al. Unsupervised segmentation of 3-D dual-echo MR head data.pp. 1-27 http://citeseer.nj.nec.com/57516.html.
Gerig, G. et al. Unsupervised segmentation of 3-D dual-echo MR head data.Image and Vision Computing. Jul./Aug. 1992;10(6):349-60.
Haacke, E. M. et al. Spin density,T1andT2quantification methods in MR imaging. InMagnetic Resonance Imaging, Physical Principles and Sequence Design, Wiley-Liss, 1999, Chapter 22, pp. 637-667.
Itti, L. et al. Automatic scan prescription for brain MRI.Magnetic Resonance in Medicine. 2001; 45:486-94.
Jezzard, P. et al. Sources of distortion in functional MRI data.Hum. Brain Mapp. 1999;8:80-5.
Liang, Z. et al. Parameter estimation of finite mixtures using the EM algorithm and information criteria with application to medical image processing.IEEE Transactions on Nuclear Science. 1992;39(4):1126-33.
Liang, Z. et al. Parameter estimation and tissue segmentation from multispectral MR images.IEEE Transactions on Medical Imaging. Sep. 1994;13(3):441-49.
Liang, Z. et al. Development of automatic techniques for segmentation of brain tissues from multispectral MR images.IEEE Conf Record IEEE NSS-MIC, 1995;3:1453-6.
Maes, F. et al. Multimodality image registration by maximization of mutual information.IEEE Transactions on Medical Imaging. Apr. 1997;16(2):187-198.
Rajapakse, J. C. et al. Cerebral magnetic resonance image segmentation using data fusion.J. Comput. Assist. Tomogr. 1996;20(2):206-18.
Rajapakse, J. C. et al. Statistical approach to segmentation of single-channel cerebral MR images.IEEE Transactions on Medical Imaging. Apr. 1997;16(2):176-86.
Simmons, A. et al. Sources of intensity nonuniformity in spin echo images at 1.5 T.Magn. Reson. Med. Jul. 1994;32(1):121-8.
Strother, S. C. et al. Quantitative comparisons of image registration techniques based on high-resolution MRI of the brain.J. Comput. Assist. Tomogr. Nov.-Dec. 1994;18(6):954-62.
Taxt, T. et al. Multispectral analysis of the brain using Magnetic Resonance Imaging.IEEE Transactions on Medical Imaging. Sep. 1994;13(3):470-81.
Thompson, P. M. et al. Mathematical/computational challenges in creating deformable and probabilistic atlases of the human brain.Hum. Brain Mapp. Feb. 2000;9(2):81-92.
Vaidyanathan, M. et al. Normal brain volume measurements using multispectral MRI segmentation.Magn. Reson. Imaging. 1997;15(1):87-97.
Van Leemput, K. et al. Automated model-based bias field correction of MR images of the brain.IEEE Transactions on Medical Imaging. Oct. 1999;18(10):885-96.
Vannier, M. W. et al. Multispectral magnetic resonance image analysis.CRC Crit. Rev. Biomed. Eng. 1987;15(2):117-44.
Vannier, M. W. et al. Modeling and data structure for registration to a brain atlas of multimodality images. InFunctional Neuroimaging—Technical Foun
Dale Anders
Gicquel Sébastien
CorTechs Labs, Inc.
Lahive & Cockfield LLP
Mantis Mercader Eleni
Roy Baisakhi
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