Efficient Algorithms for Moral Lineage Tracing

First Authors Markus Rempfler, Jan-Hendrik Lange
Authors Markus Rempfler, Jan-Hendrik Lange, Florian Jug, Corinna Blasse, Eugene W Myers, Bjoern H. Menze, Bjoern Andres
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Last Authors Bjoern Andres
Conference Proceedings Volume Title 2017 IEEE International Conference on Computer Vision : ICCV 2017 : proceedings : 22-29 October 2017, Venice, Italy
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Conference Name 2017 IEEE International Conference on Computer Vision : ICCV 2017
Conference Location Venice, Italy
Conference Start Date 2017-10-22
Conference End Date 2017-10-29
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Publisher IEEE
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ISBN 978-15386-1032-9
First Page 4705
Last Page 4714
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Print Publication Date 2017-10-29
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Abstract Lineage tracing, the joint segmentation and tracking of living cells as they move and divide in a sequence of light microscopy images, is a challenging task. Jug et al. [21] have proposed a mathematical abstraction of this task, the moral lineage tracing problem (MLTP), whose feasible solutions define both a segmentation of every image and a lineage forest of cells. Their branch-and-cut algorithm, however, is prone to many cuts and slow convergence for large instances. To address this problem, we make three contributions: (i) we devise the first efficient primal feasible local search algorithms for the MLTP, (ii) we improve the branch-and-cut algorithm by separating tighter cutting planes and by incorporating our primal algorithms, (iii) we show in experiments that our algorithms find accurate solutions on the problem instances of Jug et al. and scale to larger instances, leveraging moral lineage tracing to practical significance.
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DOI 10.1109/ICCV.2017.503
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Created By thuem
Added Date 2018-04-05
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Last Edited Date 2018-04-10 13:36:41.584
Library ID 7097
Document ID WOS:000425498404082
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