Efficient nonlinear registration of 3D images using high order co-ordinate transfer functions

References

• PELIZZARI, C. A., CHEN, G. T. Y, SPELBRING, D. R., WEICHSELBAUM, R. R., and CHEN, C. T., 1989, Accurate three-dimensional registration of CT, PET and/ or MR images of the brain. Jou m al of Computer Assisted Tomography, 13(1), 20–26.
   Google Scholar
• ALPERT, N. N., BRADSHAW, J. E., KENNEDY, D., and CORREIA, J. A., 1990, The principal axes transform-a method for image registration. Journal of Nuclear Medicine, 31, 1717–1722.
   PubMed Web of Science ®Google Scholar
• JUNCK, L., MOEN, J. G., HUTCHINS, G. D., BROWN, M. B., and Ktnn, D. E., 1990, Correlation methods for the centering, rotation, and alignment of functional brain images. Journal of Nuclear Medicine, 31, 1220–1276.
   PubMed Web of Science ®Google Scholar
• HOLZMANN, B. I., ZIMMERMAN, R. E., JOHNSON, K. A., CARVALHO, P. A., SCHWARTZ, R. B., LoEFFLER, J. S., ALEXANDER, E., PELIZAARI, C. A., and CHEN, G. T. Y, 1991, Computer-assisted superimposition of magnetic resonance and high-resolution technetium-99m-HMPAO and thal-lium-201 SPECT images of the brain. Journal of Nuclear Medicine, 32, 1478–1484.
   PubMedGoogle Scholar
• ENDE, G., TREUER, H., and BOESECKE, R., 1992, Optimisation and evaluation of landmark-based registration. Physics in Medicine and Biology, 37, 261–271.
   PubMedGoogle Scholar
• WOODS, R. P., CHERRY, S. R., and MAZZIOTTA, J. C., 1992, Rapid automated algorithm for aligning and reslicing PET images. Journal of Computer Assisted Tomography, 16, 620–633.
   PubMed Web of Science ®Google Scholar
• PETTI, P. L., KESSLER, M. L., FLEMING, T., and PITLUCK, S., 1994, An automated image-registration technique based on multiple structure matching. Medical Physics, 21(9), 1419–1426.
   PubMedGoogle Scholar
• ARDEKANI, B. A., BRAUN, M., HUTTON, B. E., KANNO, I., and him, H., 1995, A fully automatic multimodality image registration algorithm. Journal of Computer Assisted Tomogra-phy, 19(4), 615–623.
   PubMedGoogle Scholar
• DHAWAN, A. P., ARATA, L. K, LEVY, A. V., and MANTIL, J., 1995, Iterative principal axes registration method for analysis of MR-PET brain images. IEEE Transactions in Biomedical Engineering, 42(11), 1079–1087.
   PubMedGoogle Scholar
• Yu, J. N., FAHEY, F. H., GAGE, H. D., EADES, C.G., HARKNESS, B. A., PELIZARIU, C. A., and KEYES, JR, W., 1995, Intermod-ality, retrospective image registration in the thorax. Journal of Nuclear Medicine, 36(12), 2333–2338.
   PubMedGoogle Scholar
• CHEN, Q. S., DEFRISE, M., and DECONINCK, F., 1996, Three-dimensional multimodality medical image registration using a parameter accumulation approach. Medical Physics, 23(6), 877–885.
   PubMedGoogle Scholar
• PIET RZYK, U., HERHOLZ, K, SCHUSTER, A., VON-STO CKHAUSEN, H. M., LUCHT, H., and HEISS, W.D., 1996, Clinical applications of registration and fusion of multimodality brain images from PET, SPECT CT and MRI. European Journal of Radiology, 21(3), 174–182.
   Google Scholar
• BARBER, D. C., 1976, Digital computer processing of brain scans using principal components. Physics in Medicine and Biology, 21, 792–803.
   PubMedGoogle Scholar
• APPLEDORN, C. R., OPPENHEIM, B. E., and WELLMAN, H. N., 1980, An automated method for alignment of image pairs. Journal of Nuclear Medicine, 21, 165–167.
   PubMedGoogle Scholar
• BARBER, D. C., 1982, Automatic alignment of radionuclide images. Physics in Medicine and Biology, 27, 387–396.
   PubMedGoogle Scholar
• VENOT, A., and LECLERC, V., 1984, Automated correction of patient motion and gray values prior to subtraction in digitised angiography. IEEE Transactions on Medical Imaging, IM-34, 179–186.
   Google Scholar
• BARBER, D. C., 1992, Registration of low resolution medical images. Physics in Medicine and Biology, 37, 1485–1498.
   PubMedGoogle Scholar
• HOUSTON, A. S., and BARBER, D. C., 1992, Registration of a SPECT brain image with its 'nearest normal equivalent' image. IEE Conference Publication, 354, 369–372.
   Google Scholar
• HOUSTON, A. S., KEMP, P. M., and MACLEOD, M. A., 1994, A method for assessing the significance of abnormalities in HMPAO brain SPECT images. Journal of Nuclear Medicine, 35(2), 239–244.
   PubMedGoogle Scholar
• SLOMAKA, P. J., HURWITZ, G. A., ST-CLEMENT, G., and STEPHENSON, J., 1995, Three-dimensional demarcation of perfusion zones corresponding to specific coronary arteries: application for automatic interpretation of myo-cardial SPECT. Journal of Nuclear Medicine, 36(11), 2120–2126.
   Google Scholar
• FFRISTON, K J., ASHBURN, J., FRITH, C. D., POLINE, J.-B., HEATHER, J. D., and FRACKOWIAK, R. S. J., 1995, Spatial registration and normalisation of images. Human Brain Mapping, 2, 165–189.
   Google Scholar
• BARBER, D. C., TINDALE, W. B., HUNT, E., MAYES, A., and SAGAR, H. J., 1995, Automatic registration of SPECT images as an alternative to immobilisation in neuroactivation studies. Physics in Medicine and Biology, 40, 449–463.
   PubMedGoogle Scholar
• EBERL, S., KANNO, I., FULTON, R. R, RYAN, A., HUTTON, B. E., and FULHAM, M. J., 1996, Automated interstudy image registration for SPECT and PET. Journal of Nuclear Medicine, 37(1), 137–145.
   PubMedGoogle Scholar
• BARBER, D. C., TINDALE, W. B., HATFIELD, F. N., and COHEN, A., 1997, Construction of a standard normal SPET heart image. Nuclear Medicine Communications, 18(4), 328.
   Google Scholar
• ROMANOWSKI, C. A. J., LESLIE, D. E., THURFJELL, I., ERICSON, K, and STONE-ELANDER, S., 1997, Construction of a standard reference for PET studies of methionine accumulation using a computerised brain atlas. Neuroradiology, 39, 389–393.
   Google Scholar
• GEE, J. C., REIVICH, M., and BAJCSY, R., 1993, Elastically deforming 3D atlas to match anatomical brain images. Journal of Computer Assisted Tomography, 17(2), 225–236.
   PubMed Web of Science ®Google Scholar
• CHIUSTENSEN, G. E., 1994, Deformable shape models for anatomy. PhD thesis, Sever Institute of Technology, Washington University, Saint Louis, Missouri, USA.
   Google Scholar
• BRO-NIELSON, M., and GRAMKOW, C., 1996, Fast fluid registration of medical images. Lecture notes in Computer Science, 1131, 267–276.
   Google Scholar
• LEVY, A. V., VoLKow, N. D., ALEXOFF, D., LOGAN, J., and WANG, G. J., 1996, 5PM95 sensitivity to size, intensity and assymetry of brain activation/ deactivation patterns. Journal of Nuclear Medicine, 37( suppl), 41P - 42)P.
   Google Scholar
• STUDHOLM, C., HILL, D. I. G., and HAWKES, D. J., 1995, Multi-resolution voxel similarity measures for MR-PET registra-tion. Information Processing in Medical Imaging, edited by Y Bizais and C. Barillot (Dordrecht: Kluwer), p. 287–298.
   Google Scholar
• PRESS, W. H., FLANNERY, B. P., TEUKOLsicv, S. A., and VETTERLING, W. T., 1989, Numerical Recipes: the Art of Scientific Computing (Fortran Version) (New York: Cambridge Uni-versity Press, p. 125.
   Google Scholar
• SHIELDS, K, 1994, Image registration for the detection of atherosclerotic plaque movement in ultrasound image sequences. PhD thesis, University of Sheffield, Sheffield, UK
   Google Scholar
• LEE, K L., and BARBER, D. C., 1998, Automatic motion correction in dynamic radionuclide renography using image registration. Nuclear Medicine Communications, 19(12), 1159–1167.
   PubMedGoogle Scholar
• TINDALE, W. B., MARTEL, A., and BARBER, D. C., 1999, The use of image registration in the analysis of bone scans for the assessment of temporomandibular joint uptake. Nuclear Medicine Communications, 20, 49–59.
   PubMedGoogle Scholar