Similarity Based Object Retrieval of Composite Neuronal Structures

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dc.contributor.authorSchulze, Florianen_US
dc.contributor.authorTrapp, Martinen_US
dc.contributor.authorBühler, Katjaen_US
dc.contributor.authorLui, Tianxiaoen_US
dc.contributor.authorDickson, Barryen_US
dc.contributor.editorM. Spagnuolo and M. Bronstein and A. Bronstein and A. Ferreiraen_US
dc.date.accessioned2013-09-24T10:53:04Z
dc.date.available2013-09-24T10:53:04Z
dc.date.issued2012en_US
dc.description.abstractCircuit Neuroscience tries to solve one of the most challenging questions in biology: How does the brain work? An important step towards an answer to this question is to gather detailed knowledge about the neuronal circuits of the model organism Drosophila melanogaster. Geometric representations of neuronal objects of the Drosophila are acquired using molecular genetic methods, confocal microscopy, non-rigid registration and segmentation. These objects are integrated into a constantly growing common atlas. The comparison of new segmented neurons to already known neurons is a frequent task which evolves with a growing amount of data into a bottleneck of the knowledge discovery process. Thus, the exploration of the atlas by means of domain specific similarity measures becomes a pressing need. To enable similarity based retrieval of neuronal objects we defined together with domain experts tailored dissimilarity measures for each of the three typical neuronal sub structures cell body, projection, arborization. The dissimilarity measure for composite neurons has been defined as domain specific combination of the sub structure dissimilarities. According to domain experts the developed system has big advantages for all tasks which involve extensive data exploration.en_US
dc.description.sectionheadersSession 1en_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.isbn978-3-905674-36-1en_US
dc.identifier.issn1997-0463en_US
dc.identifier.urihttps://doi.org/10.2312/3DOR/3DOR12/001-008en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.8 [Computer Graphics]: Applications, I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling -Curve, surface, solid, and object representations, I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling -Object hierarchiesen_US
dc.titleSimilarity Based Object Retrieval of Composite Neuronal Structuresen_US
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