Abstract
A generalized framework for histogram-based similarity measures is presented and applied to the image-enhancement task in digital subtraction angiography (DSA). The class of differentiable, strictly convex weighting functions is identified as suitable weightings of histograms for measuring the degree of clustering that goes along with registration. With respect to computation time, the energy similarity-measure is the function of choice for the registration of mask and contrast image prior to subtraction. The registration success for the automated procedure is compared with a manually shift-corrected image pair of the head.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
J. M. Fitzpatrick, J. J. Grefenstette, D. R. Pickens, M. Mazer and J. M. Perry, A system for image registration in digital subtraction angiography, in: Information processing in: medical imaging, C. N. de Graaf and M. A. Viergever (eds.), (Plenum Press, New York, 1988) p. 414.
T. M. Buzug and J. Weese, Improving DSA images with an automatic algorithm based on template matching and an entropy measure, Proc. of the CAR'96, H. U. Lemke, M. W. Vannier, K. Inamura and A. G. Farman (Eds.), (Elsevier, Amsterdam, 1996) p. 145.
T. M. Buzug, J. Weese, C. Fassnacht and C. Lorenz, Using an entropy measure to enhance the quality of DSA images with an algorithm based on template matching, Visualization in Biomedical Computing (VBC'96), edt. by K.-H. Höhne and R. Kikinis, Lecture Notes in Computer Science 1131 (Springer, Berlin, 1996) p. 235.
B. C. S. Tom, S. N. Efstratiadis, A. K. Katsaggelos, Motion estimation of skeletonized angiographic images using elastic registration, IEEE Trans. Med. Imaging 13 (1994) 450.
W. K. Pratt, Correlation techniques of image registration, IEEE Trans. on AES, AES-10 (1974) 353.
A. Rosenfeld and A. Kak, Digital picture processing, 2nd ed. (Academic Press, New York, 1982).
L. V. Tran and J. Sklansky, Flexible mask subtraction for digital angiography, IEEE Trans. on Medical Imaging 11 (1992) 407 and SPIE 939 (1988) 203.
J. M. Fitzpatrick, D. R. Pickens, H. Chang, Y. Ge and M. Özkan, Geometrical transformations of density images, SPIE 1137 (1989) 12.
A. Venot and V. Leclerc, Automated correction of patient motion and gray values prior to subtraction in digitized angiography, IEEE Trans. on Med. Im. 4 (1984) 179.
K. J. Zuiderveld, B. M. ter Haar Romeny and Max. A. Viergever, Fast rubber sheet masking for digital subtraction angiography, SPIE 1137 Science and Engineering of Medical Imaging (1989) 22.
T. M. Buzug, J. Weese, C. Fassnacht and C. Lorenz, Image Registration: Convex functions for histogram-based similarity measures, to appear in: Proc. of CVRMed'97, Lecture Notes in Computer Science 1205 (Springer, Berlin, 1997) p. 203.
P. Kosmol, Optimierung and Approximation (de Gruyter, Berlin, 1991).
R. Yoshida, T. Miyazawa and A. Doi and T. Otsuki, Clinical Planning Support System-CIiPSS, IEEE Computer Graphics and Applications (1993) 76.
E. de Castro and C. Morandi, Registration of translated and rotated images using finite Fourier transforms, IEEE Trans. PAMI 9 (1987) 700.
M. Yanagisawa, S. Shigemitsu and T. Akatsuka, Registration of locally distorted images by multiwindow pattern matching and displacement interpolation: The proposal of an algorithm and its application to digital subtraction angiography, in 7th Int. Conf. of Pattern Recognition (IEEE Computer Society Press, Silver Spring Md., 1984) p. 1288.
K. J. Zuiderveld, B. M. ter Haar Romeny and W. ten Hove, Fast techniques for automatic local pixel shift and rubber sheet masking in digital subtraction angiography, in: The formation, handling and evaluation of medical images, A. Todd-Pokropek and M. A. Viergever (eds. (Springer, Berlin, 1989) p. 667.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Buzug, T.M., Weese, J., Lorenz, C., Beil, W. (1997). Histogram-based image registration for digital subtraction angiography. In: Del Bimbo, A. (eds) Image Analysis and Processing. ICIAP 1997. Lecture Notes in Computer Science, vol 1311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63508-4_146
Download citation
DOI: https://doi.org/10.1007/3-540-63508-4_146
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63508-6
Online ISBN: 978-3-540-69586-8
eBook Packages: Springer Book Archive