Abstract
The reduction of motion artifacts arising in DSA requires registration of mask- and contrast image prior to subtraction. An algorithm has been developed consisting of a) partitioning an interactively chosen region-of-interest (ROI) and exclusion of low-contrast partitions, b) assignment of homologous landmarks or control points, c) estimation of parameters of an affine transformation and application of the transformation on the mask image (inside the ROI), and d) subtraction of contrast- and corrected mask image. For assigning homologous landmarks, we use the entropy as similarity measure and compare the results to other frequently used measures.
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References
R. Gagliardi: Introduction in Communications Engineering. (John Wiley & Sons, New York, 1978).
T. M. Buzug and J. Weese: Improving DSA images with an automatic algorithm based on template matching and an entropy measure. In: Proc. of CAR'96 (Elsevier, Paris, 1996).
W. H. Press, B. P. Flannery, S. A. Teukolsky and W. T. Vetterling: Numerical Recipes in C. (Cambridge University Press, Cambridge, 1990) pp. 534–539.
K. Rohr, H. S. Stiehl, R. Sprengel, W. Beil, T. M. Buzug, J. Weese and M. H. Kuhn: Point-Based Elastic Registration of Medical Image Data Using Approximating Thin-Plate Splines. In: Proc. of the 4th Int. Conf. on VBC'96, Lecture Notes in Computer Science (Springer, Berlin, 1996).
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. 415.
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.
E. O. Schulz-DuBois and I. Rehberg: Structure function in lieu of correlation function. Appl. Phys. 24 (1981) 323.
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 M. A. Viergever: Fast rubber sheet masking for digital subtraction angiography. SPIE 1137, Science and Engineering of Medical Imaging (1989) 22.
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© 1996 Springer-Verlag Berlin Heidelberg
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Buzug, T.M., Weese, J., Fassnacht, C., Lorenz, C. (1996). Using an entropy similarity measure to enhance the quality of DSA images with an algorithm based on template matching. In: Höhne, K.H., Kikinis, R. (eds) Visualization in Biomedical Computing. VBC 1996. Lecture Notes in Computer Science, vol 1131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046959
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DOI: https://doi.org/10.1007/BFb0046959
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