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A Hybrid Eulerian-Lagrangian Approach for Thickness, Correspondence, and Gridding of Annular Tissues

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Computer Vision for Biomedical Image Applications (CVBIA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3765))

Abstract

We present a novel approach to efficiently compute thickness, correspondence, and gridding of tissues between two simply connected boundaries. The solution of Laplace’s equation within the tissue region provides a harmonic function whose gradient flow determines the correspondence trajectories going from one boundary to the other. The proposed method uses and expands upon two recently introduced techniques in order to compute thickness and correspondences based on these trajectories. Pairs of partial differential equations (PDEs) are efficiently computed within an Eulerian framework and combined with a Lagrangian approach so that correspondences trajectories are partially constructed when necessary. Results show that the proposed technique takes advantage of both the speed of the Eulerian PDE approach and the accuracy of the Lagrangian approach.

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© 2005 Springer-Verlag Berlin Heidelberg

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Rocha, K.R., Yezzi, A.J., Prince, J.L. (2005). A Hybrid Eulerian-Lagrangian Approach for Thickness, Correspondence, and Gridding of Annular Tissues. In: Liu, Y., Jiang, T., Zhang, C. (eds) Computer Vision for Biomedical Image Applications. CVBIA 2005. Lecture Notes in Computer Science, vol 3765. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11569541_9

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  • DOI: https://doi.org/10.1007/11569541_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29411-5

  • Online ISBN: 978-3-540-32125-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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