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Title: Counting number of cells and cell segmentation using advection-diffusion equations (English)
Author: Frolkovič, Peter
Author: Mikula, Karol
Author: Peyriéras, Nadine
Author: Sarti, Alex
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 43
Issue: 6
Year: 2007
Pages: 817-829
Summary lang: English
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Category: math
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Summary: We develop a method for counting number of cells and extraction of approximate cell centers in 2D and 3D images of early stages of the zebra-fish embryogenesis. The approximate cell centers give us the starting points for the subjective surface based cell segmentation. We move in the inner normal direction all level sets of nuclei and membranes images by a constant speed with slight regularization of this flow by the (mean) curvature. Such multi- scale evolutionary process is represented by a geometrical advection-diffusion equation which gives us at a certain scale the desired information on the number of cells. For solving the problems computationally we use flux-based finite volume level set method developed by Frolkovič and Mikula in [FM1] and semi-implicit co-volume subjective surface method given in [CMSSg, MSSgCVS, MSSgchapter]. Computational experiments on testing and real 2D and 3D embryogenesis images are presented and the results are discussed. (English)
Keyword: image processing
Keyword: partial differential equations
Keyword: nonlinear advection-diffusion equations
Keyword: flux-based level set method
Keyword: subjective surface method
Keyword: embryogenesis
MSC: 35K55
MSC: 35K57
MSC: 65M60
MSC: 74S10
MSC: 92C37
MSC: 92C55
idZBL: Zbl 1140.35468
idMR: MR2388396
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Date available: 2009-09-24T20:29:55Z
Last updated: 2013-09-21
Stable URL: http://hdl.handle.net/10338.dmlcz/135818
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Reference: [2] Evans L. C., Spruck J.: Motion of level sets by mean curvature I.J. Differential Geom. 33 (1991), 635–681 Zbl 0726.53029, MR 1100206
Reference: [4] Handlovičová A., Mikula, K., Sgallari F.: Semi-implicit complementary volume scheme for solving level set like equations in image processing and curve evolution.Numer. Math. 93 (2003), 675–695 Zbl 1065.65105, MR 1961884, 10.1007/s002110100374
Reference: [5] Mikula K., Sarti, A., Sgallari F.: Co-volume method for Riemannian mean curvature flow in subjective surfaces multiscale segmentation.Comput. Visual. Sci. 9 (2006), 23–31 MR 2214835, 10.1007/s00791-006-0014-0
Reference: [6] Mikula K., Sarti, A., Sgallari F.: Semi-implicit co-volume level set method in medical image segmentation.In: Handbook of Biomedical Image Analysis: Segmentation and Registration Models (J. Suri et al., eds.), Springer, New York, 2005, pp. 583–626
Reference: [7] Osher S., Sethian J.: Fronts propagating with curvature dependent speed: algorithm based on Hamilton–Jacobi formulation.J. Comput. Phys. 79 (1988), 12–49 MR 0965860, 10.1016/0021-9991(88)90002-2
Reference: [8] Sarti A., Malladi, R., Sethian J. A.: Subjective Surfaces: A Method for Completing Missing Boundaries.Proc. Nat. Acad. Sci. U. S. A. 12 (2000), 97, 6258–6263 Zbl 0966.68214, MR 1760935, 10.1073/pnas.110135797
Reference: [9] Sarti A., Citti G.: Subjective surfaces and Riemannian mean curvature flow of graphs.Acta Math. Univ. Comenian. 79 (2001), 1, 85–104 Zbl 0995.65100, MR 1865362
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