Temporal neurite registration using hierarchical alignments

S. Farhand, S. Gulyanon, N. Sharifai, M. D. Kim, A. Chiba, G. Tsechpenakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


We study the development of neuronal morphology with respect to temporal correspondences among branching features. We pose the problem as a three-dimensional registration of the observed neuronal morphologies over time, given already calculated neurite traces, where we exploit the inherent tree-like structures. We align branches from pairs of development instances in a hierarchical fashion, from bigger to smaller groups (subtrees), and the alignment costs are accumulated along the defined recursion depths to calculate optimal correspondences. This way, matching is repeated sequentially in different resolutions, first between 'primary' branches, and then within their corresponding subtrees. We validate our method using traces of sensory neurons of the larva Drosophila in successive developmental instances (second to third and third to fourth instar).

Original languageEnglish (US)
Title of host publication2016 IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2016 - Proceedings
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9781479923502
StatePublished - Jun 15 2016
Event2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Prague, Czech Republic
Duration: Apr 13 2016Apr 16 2016

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452


Other2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016
Country/TerritoryCzech Republic


  • Drosophila
  • neurite registration
  • neuron graph representation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging


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