Abstract
We propose the use of a continuity heuristic for solving the inclination ambiguity of polarized light imaging, which is a high resolution method of mapping the spatially varying pattern of anisotropy in biological and non-biological samples. Applied to the white matter of the brain, solving the inclination ambiguity of polarized light imaging will allow the creation of a 3D model of fibers. We use the continuity heuristic in several methods, some of which employ the simulated annealing algorithm to reinforce the heuristic, while others proceed deterministically to solve the inclination ambiguity. We conclude by explaining the limitations of the continuity heuristic approach.
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Larsen, L., Griffin, L.D. (2004). Can a Continuity Heuristic Be Used to Resolve the Inclination Ambiguity of Polarized Light Imaging?. In: Sonka, M., Kakadiaris, I.A., Kybic, J. (eds) Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis. MMBIA CVAMIA 2004 2004. Lecture Notes in Computer Science, vol 3117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27816-0_31
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DOI: https://doi.org/10.1007/978-3-540-27816-0_31
Publisher Name: Springer, Berlin, Heidelberg
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