Method of processing image data

Details Method of processing image data Method of processing image data

2011-05-03

2011-05-03

Kassa, Yosef (Department: 2624)

Image analysis

Image transformation or preprocessing

Changing the image coordinates

C382S260000, C382S274000, C382S275000, C358S003260, C358S003270, C358S463000

Reexamination Certificate

active

07936947

ABSTRACT:
A method of processing image data for registration of multiple images to a common reference space comprising the step of computing a mapping between each image and a common reference image comprising an average of all of the images.

REFERENCES:
patent: 6611615 (2003-08-01), Christensen
patent: 6817982 (2004-11-01), Fritz et al.
patent: 7045255 (2006-05-01), Misaka
patent: 7222133 (2007-05-01), Raipurkar et al.
patent: 7234645 (2007-06-01), Silverbrook et al.
patent: 7246268 (2007-07-01), Craig et al.
patent: 7250248 (2007-07-01), Misaka
patent: 7254278 (2007-08-01), Jung
patent: 7290275 (2007-10-01), Baudoin et al.
patent: 2004/0017932 (2004-01-01), Yang
patent: 2008/0137969 (2008-06-01), Rueckert et al.
patent: WO 2005/101298 (2005-10-01), None
U.S. Appl. No. 11/547,755, filed Oct. 6, 2006, Daniel Rueckert, Response to Non-Final Office Action, Apr. 28, 2010.
U.S. Appl. No. 11/547,755, filed Oct. 6, 2006, Daniel Rueckert, Non-Final Office Action, Oct. 28, 2009.
U.S. Appl. No. 11/547,755, filed Oct. 6, 2006, Daniel Rueckert, Preliminary Amendment, Apr. 21, 2008.
PCT/GB2005/001446, Apr. 14, 2005, Imperial College Innovations Limited, International Search Report, Nov. 28, 2005.
PCT/GB2005/001445, Apr. 14, 2005, Imperial College Innovations Limited, International Search Report, Nov. 29, 2005.
Ashburner, J.Computational Neuroanatomy, University College London (2000).
Ashburner, J.,Computational Neuroanatomy, SPM Short Course Slides (28 slides) (http://www.fil.ion.ucl.ac.uk/spm/course/slides02/spatial/welcome), (2004).
Ashburner, J. and Friston, K.J.,Voxel-Based Morphometry—The Methods, Neuro-Image 11, pp. 805-821 (2000).
Ashburner, J. et al.,Identifying Global Anatomical Differences: Deformation-Based Morphometry, Neural Brain Mapping, pp. 348-357 (1998).
Bhatia, K.K., et al.,Consistent Groupwire Non-Rigid Registration for AtlasConstruction, Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Arlington, VA, IEEE 2004, pp. 908-911 (Apr. 2004).
Gaser, C. et al.,Deformation-Based Morphometry and its Relation to Conventional Volumetry of Brian Lateral Ventricles in MRI, NeuroImage, vol. 13, pp. 1140-1145 (2001).
Golland et al.,Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies, Jul. 2003, pp. 330-341.
Guimond, A. et al.,Average Brain Models: A Convergence Study, Computer Vision and Image Understanding, Academic Press, San Diego, CA, vol. 77, No. 2, pp. 192-210, XP004439302 ISN: 1077-3412 (Feb. 2000).
Lao, Z. et al.,Morphological classification of brains via high-dimensional shape transformations and machine learning methods, NeuroImage 21, pp. 46-57 (2004).
Marsland, S. et al.,Groupwise non-rigid registration using polyharmonic clamped-plate splines, in Sixth Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI '03), Lecture Notes in Computer Science, pp. 771-779, Soringer-Verlag (2003).
McLachlan, G.J.,Discriminant Analysis and Statistical Pattern Recognition, Wiley, NY, XP002354471, pp. 129-167 (1992).
Pluim, J. et al.,Mutual-Information-Based Registration of Medical Images: A Survey, IEEE Transactions on Medical Imaging, vol. 22, No. 8, pp. 986-1004, XP001233412 ISSN: 0278-0062 (Feb. 2002).
Rueckert, D. et al.,Nonrigid Registration Using Free-Form Deformations: Application to Breast MR Images, IEEE Transactions on Medical Imaging, vol. 18, No. 8, pp. 712-721 (1999).
Rueckert, D., Clarkson, M. et al.,Non-rigid registration using higher-order mutual information, Proceedings of the SPIE, SPIE, Bellingham, VA, vol. 3979, pp. 438-447, XP008055221 ISSN: 0277-786X (Feb. 2000).
Rueckert, D., Frangi, A. et al.,Automatic Construction of 3-D Statistical Deformation Models of the Brain Using Nonrigid Registration, IEEE Transactions on Medical Imaging, vol. 22, No. 8, pp. 1014-1025, XP001233414 ISSN: 0278-0062 (Aug. 2003).
Schnabel, J. et al.,A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations, in Medical image computing and computer-assisted intervention—MICCAI, pp. 573-581 (2001).
Studholme, C., Hill, D. et al.,An overlap invariant entropy measure of 3D medical image alignment, Pattern Recognition, vol. 32, No. 1, pp. 71-86 (1999).
Studholme, C., Cardenas, V. et al.,Multi scale image and multi scale deformation of brain anatomy for building average brain atlases, Proceedings of SPIE, SPIE, Bellingham, VA, vol. 4322, No. Part 1-3, pp. 557-568, XP001199572 ISSN: 0277-786X (2001).
Studholme, C.,Simultaneous Population Based Image Alignment for Template Free Spatial Normalisation Brain Anatomy, Lecture Notes in Computer Science, vol. 2717, p. 81-90, XP002353702 (2003).
Thomaz, C.E., Gillies, D. et al.,A New Quadratic Classifier Applied to Biometric Recognition, Lecture Notes in Computer Science, Springer Verlag, New York, NY, vol. 2359, pp. 186-196, XP008054788 ISSN: 0302-9743, (2002).
Thomaz, C.E. and Gillies, D.,A New Fisher-Based Method Applied to Face Recognition, Lecture Notes in Computer Science, Springer Verlag, New York, NY, vol. 2756, pp. 596-605, XP008054793 ISSN: 0302-9743, (2003).
Thomaz, C.E. et al.,Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images, Lecture Notes in Computer Science, Springer Verlag, New York, NY, vol. 1, pp. 291-300, XP008054794 ISSN: 0302-9743 (2004).
Thomaz, CE. and Gillies, D.,A Maximum Uncertainty LDA-based approach for Limited Sample Size problems—with application to Face Recognition, XP002354468, London, UK, pp. 1-19 (2004).

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