A. Bardera, M. Feixas, I. Boada, J. Rigau, M. Sbert (auth.),'s Biomedical Image Registration: Third International Workshop, PDF

By A. Bardera, M. Feixas, I. Boada, J. Rigau, M. Sbert (auth.), Josien P. W. Pluim, Boštjan Likar, Frans A. Gerritsen (eds.)

ISBN-10: 3540356487

ISBN-13: 9783540356486

This e-book constitutes the completely refereed post-proceedings of the 3rd foreign Workshop on Biomedical picture Registration, WBIR 2006, held in Utrecht, The Netherlands, in July 2006.

The 20 revised complete papers and 18 revised poster papers awarded have been rigorously reviewed and chosen for inclusion within the e-book. The papers hide all components of biomedical snapshot registration; equipment of registration, biomedical purposes, and validation of registration. issues addressed are measures of similarity, 2D/3D/4D, nonrigid deformation, intra- or inter-modality registration, intra- or inter-subject registration, optimization tools, model-based registration, laptop built-in surgical procedure, image-guided remedy and analysis, remedy making plans, serial reviews, morphometry, biomechanics, photo retrieval, snapshot tiling and photograph fusion, computational and empirical accuracy, comparability reports, and actual models.

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Additional info for Biomedical Image Registration: Third International Workshop, WBIR 2006, Utrecht, The Netherlands, July 9-11, 2006. Proceedings

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A. ): WBIR 2006, LNCS 4057, pp. 43 – 49, 2006. © Springer-Verlag Berlin Heidelberg 2006 44 O. L. Wilson P Several techniques have been proposed to reduce these artifacts. For example, Tsao [8] showed that they can be reduced by jittering the transformation parameters for each voxels before nearest neighbor interpolation, and by histogram blurring for the mutual information computation. Rohde et al. [6;7] found that sinc interpolation reduced scalloping. Over-sampling of the image and reduced binning of the joint histogram can also be beneficial [5].

J. A. Little, D. L. G. Hill, and D. J. Hawkes, “Deformations Incorporating Rigid Structures,” Computer Vision and Image Understanding, Vol. 66, No. 2, pp. 223-232, May 1997. 7. Martin-Fernandez MA, Munoz-Moreno E, Martin-Fernandez M, Alberola-Lopez C, “Articulated registration: Elastic registration based on a wire-model,” Medical Imaging 2005: Image Processing, SPIE, pp. 182-191, 2005. 8. V. Arsigny, X. Pennec, and N. Ayache, “Polyrigid and Polyaffine Transformations: A New Class of Diffeomorphisms for Locally Rigid or Affine Registration,” Proc.

In order to avoid any biases towards the zero solution, we offset the input EPI image by 15 mm along the probing direction. Thus the local optimum is expected to be located at this offset position – and not at zero – on the probing curves. The objective functions were all evaluated in the offset interval of [-100, 100] mm given 1 mm step sizes. The probing experiment results are displayed in Fig. 2. In the case of joint entropy (JE), we find a close and precise local optimum corresponding to the offset solution location.

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Biomedical Image Registration: Third International Workshop, WBIR 2006, Utrecht, The Netherlands, July 9-11, 2006. Proceedings by A. Bardera, M. Feixas, I. Boada, J. Rigau, M. Sbert (auth.), Josien P. W. Pluim, Boštjan Likar, Frans A. Gerritsen (eds.)


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