By Joseph V. Hajnal, Derek L.G. Hill

Photo registration is the method of systematically putting separate pictures in a typical body of reference in order that the data they comprise might be optimally built-in or in comparison. this can be changing into the important instrument for picture research, figuring out, and visualization in either clinical and clinical purposes. scientific snapshot Registration offers the 1st complete assurance of this rising box. This monograph info the idea, know-how, and functional implementations in a number of scientific settings. foreign specialists completely clarify why snapshot registration is critical, describe its functions in a nonmathematical manner, and contain rigorous research in the event you plan to enforce algorithms themselves. it really is obtainable and informative to these new to the sphere, but it presents in-depth therapy for the professional. With its functional examples, broad illustrations, and understandable strategy, scientific photograph Registration is a must-have advisor for clinical physicists, clinicians, and researchers.

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7. Finally, all complex computations must be validated. This is particularly important in medical applications. 8 and expanded throughout this book. fm Page 36 Wednesday, May 16, 2001 10:04 AM 36 Medical Image Registration References 1. J. Hawkes, L. E. B. Sayman, R. N. Maisey, Registration and display of the combined bone scan and radiograph in the diagnosis and management of wrist injuries. Eur. J. Nucl. Med. vol. 18, 752–756, 1991. 2. F. J. H. Cooper, and J. Graham, Training models of shape from sets of examples.

13, pp. 20–26, 1989. 14. H. A. S. Holton, New approach to 3-D registration of multimodality medical images by surface matching. SPIE, vol. 1808, pp. 196–213, 1992. 15. J. D. McKay, A method for registration of 3D shapes. IEEE Trans. Pattern Anal. Machine Vision. vol. 14, pp. 239–256, 1992. 16. R. S. A. L. E. Quint, Simultaneous usage of homologous points, lines and planes for optimal 3-D linear registration of multimodality imaging data. IEEE Trans. Med. Imaging, vol. 14, pp. 1–11, 1995. fm Page 37 Wednesday, May 16, 2001 10:04 AM Registration Methodology: Introduction 37 17.

Pattern Anal. , vol. 9, 698–700, 1987. 5. J. Fitzpatrick, J. West, and C. , Predicting error in rigid-body, pointbased registration. IEEE Trans. Med. Imaging, vol. 17, pp. 694–702, 1998. 6. F. Colchester, J. S. J. Henri, N. E Roberts, A surgical planning and guidance system using intraoperative video imaging. Med. Image Anal. vol. 1, 73–90, 1996. 7. A. A. Viergever, Marker guided registration of electomagnetic dipole data with tomographic images. F. J. ), pp. 142–153. Heidelburg: Springer-Verlag, 1991.

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