Abstract
There are various applications, both in medical and non-medical image analysis, which require the automatic detection of the line (2D images) or plane (3D) of reflective symmetry of objects. There exist relatively simple methods of finding reflective symmetry when object images are complete (i.e., completely symmetric and perfectly segmented from image “background”). A much harder problem is finding the line or plane of symmetry when the object of interest contains asymmetries, and may not have well defined edges.
A major area of interest is brain image analysis; there are various reasons why one would want to be able to automatically, robustly and accurately find the (sagittal) mid-plane from a 3D brain image. Example applications include pre-alignment (or sanity checking) for standard registration methods, mid-plane finding as part of symmetric probabilistic anatomical map generation, and, in particular, symmetry-based analyses (e.g., for schizophrenia research). This paper describes EROS – Extraction of Robust Orientation using Symmetry, which has been developed to solve this problem. It has been shown to work with MRI (T1, T2, EPI), PET, SPECT and CT, using robust measures to give accurate results even with images containing large asymmetries.
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Di Gesù, V., Valenti, C.: Symmetry operators in computer vision. Vistas in Astronomy 40 (1996)
Jenkinson, M., Smith, S.: Robustness issues in automatic brain image registration. In: Proc. Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (1999) (submitted)
Minoshima, S., Berger, K.L., Lee, K.S., Mintun, M.A.: An automated method for rotation correction and centering of three-dimensional functional brain images. Journal of Nuclear Medicine 33, 1579–1585 (1992)
Reisfeld, D., Wolfson, H., Yeshurun, Y.: Context free attentional operators: The generalized symmetry transform. Int. Journal of Computer Vision 14, 119–130 (1995)
Sun, C.: Symmetry detection using gradient information. Pattern Recognition Letters 16(9), 987–996 (1995)
Thirion, J.-P., Prima, S., Subsol, G.: Statistical analysis of dissymmetry in volumetric medical images. Technical Report 3178, INRIA Sophia-Antipolis (1997)
Woods, R.P., Cherry, S.R., Mazziotta, J.C.: Rapid automated algorithm for aligning and reslicing PET images. Journal of Computer Assisted Tomography 16(4), 620–633 (1992)
Woods, R.P., Mazziotta, J.C., Cherry, S.R.: MRI–PET registration with automated algorithm. Journal of Computer Assisted Tomography 17(4), 536–546 (1993)
Zielke, T., Brauckmann, M., von Seelen, W.: Intensity and edge-based symmetry detection applied to car-following. In: Sandini, G. (ed.) ECCV 1992. LNCS, vol. 588, pp. 865–873. Springer, Heidelberg (1992)
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© 1999 Springer-Verlag Berlin Heidelberg
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Smith, S., Jenkinson, M. (1999). Accurate Robust Symmetry Estimation. In: Taylor, C., Colchester, A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI’99. MICCAI 1999. Lecture Notes in Computer Science, vol 1679. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10704282_34
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DOI: https://doi.org/10.1007/10704282_34
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